the world bank group greenhouse gas emissions inventory management...

The World Bank Group Greenhouse Gas Emissions

Inventory Management Plan for Internal Business Operations 2017

Pub

lic D

iscl

osur

e A

utho

rized

Pub

lic D

iscl

osur

e A

utho

rized

Pub

lic D

iscl

osur

e A

utho

rized

Pub

lic D

iscl

osur

e A

utho

rized

P a g e | i Prepared by World Bank and IFC Corporate Responsibility Programs

© 2016 The World Bank

1818 H ST NW

Washington DC 20433

All rights Reserved

Cover Image: © Adam Rubinfield

This volume is a product of the staff of the World Bank Group. The

World Bank Group does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of the World Bank Group concerning the legal status of any territory or the endorsement or acceptance of such boundaries.

RIGHTS AND PERMISSIONS

The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. The World Bank Group encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly.

For permission to photocopy or reprint any part of this work, please send a request with complete information to the copyright Clearance Center Inc., 222 Rosewood Drive, Danvers, MA 01923, USA; telephone 978-750-8400; fax 978-750-4470; Internet: www.copyright.com.

Lead Author: Monika Kumar, Sarah Raposa

Contributors: Alexis Wheeler

Team Lead: Monika Kumar, Environmental Specialist, World Bank Corporate Responsibility Program

http://www.copyright.com/

The World Bank Group FY17 GHG Inventory Management Plan

P a g e | ii Prepared by World Bank and IFC Corporate Responsibility Programs

TABLE OF CONTENTS

INTRODUCTION ........................................................................................................................................ 6

WBG BOUNDARY CONDITIONS ................................................................................................................ 6

ORGANIZATIONAL BOUNDARY ........................................................................................................................... 6

SCOPE .......................................................................................................................................................... 8

WBG BOUNDARY CONDITION ASSUMPTIONS ...................................................................................................... 9

EMISSIONS QUANTIFICATION ................................................................................................................ 10

SCOPE 1 – DIRECT EMISSIONS ......................................................................................................................... 10

On-site (Stationary) Combustion – Scope 1 ................................................................................................. 10

Refrigerants – Scope 1 .................................................................................................................................. 12

Mobile Sources - Scope 1 ............................................................................................................................. 14

SCOPE 2 – INDIRECT EMISSIONS ...................................................................................................................... 16

Electricity Purchases – Scope 2 .................................................................................................................... 16

Purchased Heat, Steam, and Chilled Water – Scope 2 ................................................................................. 20

SCOPE 3 – OTHER INDIRECT EMISSIONS ............................................................................................................ 21

Business Travel Emissions – Scope 3 ............................................................................................................ 21

Contractor-owned vehicles – scope 3 .......................................................................................................... 23

Major Meetings ............................................................................................................................................ 23

DATA MANAGEMENT............................................................................................................................. 24

ACTIVITY DATA AND DATA MANAGEMENT ........................................................................................................ 24

QUALITY ASSURANCE .................................................................................................................................... 26

DATA GAPS ................................................................................................................................................. 26

DATA SECURITY ............................................................................................................................................ 27

CORPORATE REPORTING FREQUENCY ................................................................................................................ 27

BASE YEAR ............................................................................................................................................. 27

ADJUSTMENTS TO BASE YEAR EMISSIONS – STRUCTURAL AND METHODOLOGY CHANGES ........................................... 28

MANAGEMENT TOOLS ........................................................................................................................... 28

ROLES AND RESPONSIBILITIES .......................................................................................................................... 28

TRAINING .................................................................................................................................................... 31

DOCUMENT RETENTION AND CONTROL POLICY .................................................................................................. 31

AUDITING AND VERIFICATION ............................................................................................................... 32

INTERNAL AUDITING ...................................................................................................................................... 32

EXTERNAL AUDITING ..................................................................................................................................... 32

MANAGEMENT REVIEW ................................................................................................................................. 32



CORRECTIVE ACTION ..................................................................................................................................... 32

CORRECTIVE ACTIONS TRIGGERED SIGNIFICANCE THRESHOLD .............................................................................. 32

APPENDIX A: STATIONARY EMISSION FACTORS ..................................................................................... 34

APPENDIX B: REFRIGERANT EMISSIONS ................................................................................................. 35

APPENDIX C: MOBILE FUEL EMISSION FACTORS ..................................................................................... 37

APPENDIX D: PURCHASED ELECTRICITY EMISSIONS FACTORS ................................................................ 42

APPENDIX E: AIR TRAVEL EMISSIONS FACTORS ...................................................................................... 46

APPENDIX F: WORLD BANK GROUP FY 17 MASTER LOCATION LIST ........................................................ 47

APPENDIX G: CREDIT360 COUNTRY OFFICE SURVEY SCREENSHOTS ....................................................... 62

APPENDIX H – AUTOMATIC THRESHOLDS WITHIN CREDIT360 ............................................................... 63

FIGURES

FIGURE 1. ON-SITE FUEL COMBUSTION EMISSIONS CALCULATION .............................................................................. 11

FIGURE 2. PRORATING ON-SITE FUEL COMBUSTION EMISSIONS CALCULATION .............................................................. 11

FIGURE 3. REFRIGERANT EMISSIONS CALCULATION (PREFERRED) ................................................................................ 12

FIGURE 4: ESTIMATING REFRIGERANT EMISSIONS .................................................................................................... 13

FIGURE 5. REFRIGERANT EMISSION CALCULATIONS FROM VEHICLES ............................................................................ 14

FIGURE 6. MOBILE FUEL EMISSIONS CALCULATION (PREFERRED) ................................................................................ 15

FIGURE 7. MOBILE FUEL EMISSIONS CALCULATION (VEHICLE TYPE AND DISTANCE) ........................................................ 15

FIGURE 8. MOBILE FUEL EMISSIONS CALCULATION (FUEL COST) ................................................................................ 15

FIGURE 9 ESTIMATING COUNTRY ELECTRICITY EMISSION FACTORS: LAO PDR ............................................................... 17

FIGURE 10. PURCHASED ELECTRICITY EMISSIONS CALCULATION (PREFERRED) ............................................................... 17

FIGURE 11. PURCHASED ELECTRICITY EMISSIONS ESTIMATE (BUILDING AREA) .............................................................. 18

FIGURE 12. ESTIMATING EMISSIONS FROM PURCHASED STEAM ................................................................................. 21

FIGURE 13. AIR TRAVEL EMISSIONS CALCULATION (PREFERRED) ................................................................................ 22

FIGURE 14. CREDIT360 LANDING PAGE ................................................................................................................ 62

FIGURE 15. CREDIT360 ENERGY INFORMATION TAB ................................................................................................ 62

FIGURE 16. CREDIT360 STATIONARY COMBUSTION DATA ENTRY ............................................................................... 63

TABLES

TABLE 1. LIST OF WBG U.S. PROPERTIES IN FY 17 .................................................................................................... 7

TABLE 2. ASSUMPTIONS USED TO CREATE INTENSITY RATE FOR REFRIGERANT ............................................................... 13

TABLE 3 VEHICLE REFRIGERANT CHARGE FACTORS ................................................................................................... 14



TABLE 4. ELECTRICITY AVERAGES FOR WB REGIONS (BASED ON FY 08 DATA) .............................................................. 18

TABLE 5. ELECTRICITY AVERAGES FOR IFC REGIONS (BASED ON FY 08 DATA) ............................................................... 19

TABLE 6. ELECTRICITY AVERAGES FOR COLLOCATED OFFICES ...................................................................................... 20

TABLE 7. ASSUMPTIONS FOR CALCULATING EMISSIONS FROM STEAM .......................................................................... 21

TABLE 8. DATA ORIGINS FOR SCOPE 1 EMISSION SOURCES ........................................................................................ 25

TABLE 9. DATA ORIGINS FOR SCOPE 2 EMISSION SOURCES ........................................................................................ 26

TABLE 10. ROLES AND RESPONSIBILITIES FOR DATA REPORTING ................................................................................. 28

TABLE 11. GHG EMISSIONS FOR FY10 THROUGH FY17 ........................................................................................... 33

ATTACHMENTS

WBG Washington, DC Emissions Summary

ACRONYMS AND ABBREVIATIONS

▪ CR Corporate Responsibility Program

▪ CH4 methane

▪ CO2 carbon dioxide

▪ CO2eq carbon dioxide equivalent

▪ CESFP IFC Footprint Program

▪ CFC chlorofluorocarbon

▪ DEFRA Department for Environment, Food and Rural Affairs (UK)

▪ EIA United States Energy Information Administration

▪ EPA United States Environmental Protection Agency

▪ FTE full-time employee

▪ GHG greenhouse gas

▪ GCS Global Corporate Solutions

▪ GCSCR Global Corporate Solutions Corporate Real Estate

▪ GCSMS Global Corporate Solutions Mail and Shipping Services

▪ GCSPC Global Corporate Solutions Program Coordination

▪ GCSSC Global Corporate Solutions Corporate Security

▪ GCSTV Global Corporate Solutions Travel and Visa Services

▪ GWP global warming potential

▪ HCFC hydrochlorofluorocarbon

▪ HFC hydrofluorocarbon

▪ HVAC heating, ventilation, and air conditioning

▪ IEA International Energy Agency

▪ IFC International Finance Corporation

▪ IMP Inventory Management Plan

▪ IPCC Intergovernmental Panel on Climate Change

▪ kWh kilowatt-hour

▪ N2O nitrous oxide


5 | P a g e

▪ PFC perfluorocarbon

▪ SF6 sulfur hexafluoride

▪ WB World Bank, including the International Bank for Reconstruction and Development and the International Development Association

▪ WBCSD World Business Council for Sustainable Development

▪ WBG World Bank Group, including the International Bank for Reconstruction and Development, International Development Association, International Finance Corporation, Multilateral Investment Guarantee Agency, and the International Center for Settlement of Investment Disputes

▪ WRI World Resources Institute

Key Contacts

Organization Name: The World Bank: IBRD/IDA

Corporate Address: 1818 H St. NW, Washington, DC USA 20433

Inventory Manager: Environmental Specialist, Monika Kumar

Contact Information: [email protected]

Organization Name: International Finance Corporation (IFC)

Corporate Address: 2121 Pennsylvania Ave. NW, Washington, DC USA 20433

Inventory Manager: Senior Program Manager, Corporate Responsibility, Sarah Raposa

Contact information: Phone: 202-458-7703

E-mail: [email protected]

mailto:[email protected]


6 | P a g e

INTRODUCTION

This Greenhouse Gas Emissions Inventory Management Plan (IMP) provides a detailed foundation for the World Bank Group’s (WBG) comprehensive effort to measure and manage greenhouse gas emissions from its internal global business operations. The IMP does not apply to the lending or technical assistance activities that the World Bank Group provides to its public and private sector clients. This document provides organization-wide information, including corporate overview and goals, boundary conditions of the inventory, emissions quantification methods, data management methods, base year selection discussion, list of management tools, and auditing and verification processes.

The World Bank Group consists of five closely associated institutions operating in over 180 countries and owned by member countries that carry ultimate decision-making power. Each institution plays a distinct role in the mission to fight poverty and improve living standards for people in the developing world.

The IMP sets forth the current scope and vision of WBG’s commitment to inventory and manage greenhouse gas

(GHG) emissions for its internal global business operations and contains the WBG’s greenhouse gas inventory methodology. It sets forth the WBG’s intention to create a GHG inventory that is consistent with the principles and guidance of the World Resources Institute (WRI) and the World Business Council for Sustainable Development’s (WBCSD) Greenhouse Gas Protocol Initiative (GHG Protocol) for its internal corporate GHG accounting and reporting. The inventory methodology is designed to meet the most rigorous and complete accounting and reporting standards.

This IMP includes information that applies to the offices located in the United States and abides by the United States’ Environmental Protection Agency (EPA) guidance for GHG inventories. The global facilities inventory is maintained on a fiscal year basis only. Both domestic and international emissions are calculated using the same methodology to ensure consistency in the quantification process among all locations. This IMP is utilized for reporting to the CDP and the UN Climate Neutral Initiative.

WBG BOUNDARY CONDITIONS

Boundary conditions serve as the foundation for the GHG inventory by defining both the inventory’s breadth and depth. To provide a rigorous and complete GHG inventory, the WBG has defined both organizational and operational boundary conditions consistent with the GHG Protocol guidance.

ORGANIZATIONAL BOUNDARY

GHG Protocol definition

Organization boundary conditions define the breadth of the GHG inventory by identifying the locations where the WBG assumes responsibility for GHG emissions. According to the GHG Protocol, a company’s organizational boundaries can either be defined by the amount of equity a company has in an operation (“Equity Approach”) or based on a company’s operational control over a location or facility (“Control Approach”). The GHG Protocol also requires that a company select the type of organizational boundary according to which method most accurately reflects the day-to-day practices of the business. That boundary approach should then be consistently applied to define the company’s business and operations in a way that best constitutes the business’s operations for the purpose of GHG emissions accounting and reporting.

WBG Boundary

The WBG has chosen to set its organizational boundaries for the GHG inventory according to the operational control approach. Consistent with this approach the WBG accounts for GHG emissions from its locations for which it has direct control over operations, and where it can influence decisions that impact GHG emissions. This includes all owned and leased facilities/vehicles operated by WBG. A portion of leased facilities operate under full-service gross leases, where the building owner/manager pays the utilities directly and WBG does not have


7 | P a g e

access to actual energy consumption information. The WBG includes these facilities in its definition of operational control and estimates the energy consumption as well as refrigerant use if this data is unavailable as described in the Data Management section below.

WB locations have been identified by the Global Corporate Solutions Corporate Real Estate team (GCSCR), while IFC locations are from the IFC Real Estate Database managed by the IFC’s Facilities Management team. A list of offices included in the FY17 GHG inventory can be found in Appendix F.

Washington, DC Specific

In the United States, the World Bank Group owns or leases facilities located in Washington, DC, Virginia, Maryland, Pennsylvania, and New York. A list of these facilities is presented in Table 1.

Table 1. List of WBG U.S. Properties in FY17

Building Name

Address Status (Own/Lease)

Operational Control Size

(gross ft2)

In Inventory

Archives Pennsylvania, near Pittsburgh

Lease WB Non-Operating 54,713 Scope 1, 2

CF (BCC) 4120 Lafayette Center Dr. Chantilly, VA 20151

Lease WB Operating 54,530 Scope 1, 2

F

2121 Pennsylvania Ave. NW

Washington, DC 20433

Own IFC Owned 803,536 Scope 1, 2

G 1776 G St. NW Washington, DC 20006


I 1850 I St. NW Washington, DC 20433

Own WB Owned 601,446 Scope 1, 2

J 701 18th St. NW Washington, DC 20433

Own WB Operating 533,894 Scope 1, 2

MC 1818 H St. NW Washington, DC 20433

Own WB Owned 2,065,507 Scope 1, 2

C 1225 Connecticut Ave NW Washington, DC 20036

Own WB Owned 240,811 Scope 1, 2

N 1899 Pennsylvania Ave NW, Washington, DC 20433


U 1800 G St. NW,

Washington, DC 20433 Lease WB Non-Operating 85,500

Scope 1, 2

UN Liaison Office

1 Dag Hammarskjold Plaza, 885 2nd Ave., 26th Fl., New York, NY 10017



8 | P a g e

VA Ware-house (DCC)

Dulles Commerce Center, Bldg. 100, 23760 Pebble Run Dr., Sterling, VA 20166

Lease WB Operating 50,030 Scope 1, 2

Landover Service Center (LSC)

3301 Pennsy Dr

Landover, MD 20785 Lease WB Operating 54,595

Scope 1, 2

M Building 1900 Pennsylvania Ave NW 9th Floor, Washington, DC 20433


SCOPE

GHG Protocol definition of Scope

The World Bank Group segregates its emissions types by Scopes 1, 2, and 3, as defined by the GHG Protocol. The following are examples of office emissions sources from the GHG Protocol publication Working 9 to 5 on Climate Change: An Office Guide (WRI 2002).

Scope 1: Direct emissions sources

▪ Combustion of fuel in boilers or furnaces that are owned by the reporting organization

▪ Generation of electricity, steam, or heat in equipment that is owned by the reporting organization

▪ Business travel in vehicles that are owned by the reporting organization, such as company cars or corporate jets

▪ Employee commuting in company-owned vehicles, such as shuttles and company cars

▪ Fugitive emissions of refrigerant from chillers or other refrigeration units owned by the

reporting organization

Scope 2: Indirect emissions sources

▪ Generation of purchased electricity, steam, heat, or chilled water

Scope 3: Optional sources

▪ Business travel in non-company-owned vehicles such as rental cars, employee cars, trains,

and commercial planes

WBG Scope

Since 2008, the operational boundary of the WBG’s carbon inventory has included all core direct (Scope 1) and

indirect (Scope 2) emissions associated with all global WBG facilities with operational control (including headquarters operations in Washington, DC, all leased facilities, and all country offices). Emissions from global employee business air travel are included in Scope 3. Prior to 2008, our scope was limited to headquarters operations in Washington, DC only, including Washington, DC and Virginia leased facilities and facilities with operational control, and only DC-based employee travel.

▪ Direct Emissions from sources that are owned or controlled by the WBG, including emissions from on-site fuel burning equipment (for example, boilers, backup generators) and fugitive emissions from process equipment (for example, refrigerant from refrigeration and HVAC equipment). Mobile emissions from combustion of fuel in WBG-owned vehicles are also included.

▪ Indirect Emissions from electricity, steam and chilled water purchased by the WBG.


9 | P a g e

▪ Other Indirect Emissions from WBG employee business air travel and leased vehicles operated by other organizations.

GHG List

The WBG GHG inventory includes emissions from five of the six major GHG gases (there are no known emissions from SF6 and PFCs):

▪ CO2

▪ CH4

▪ N2O

▪ HFCs

In addition, the global inventory includes emissions from CFCs and HCFCs as supplemental emissions, both of which are optional for inventory and reporting purposes according to GHG Protocol and EPA Climate Leaders guidance.

WBG BOUNDARY CONDITION ASSUMPTIONS

To the extent possible, this IMP attempts to standardize our inventory methodology to all WBG offices. There are, however, a few exceptions. Our boundary assumptions are outlined below.

Assumptions: Global Inventory

• Where there is shared World Bank and IFC office space, emissions are apportioned between the agencies by percentage of total area as detailed in lease agreements and memoranda of understanding, where available. When this information is not available, emissions are apportioned by percentage of area which is based on the percentage of total staff for each agency. For example, in a location where the proportion of IFC to WB space is not known, if there are an equal number of staff from each agency, then it is assumed that each agency occupies an equal amount of space in the office.

• Office area data for World Bank offices is sourced through the International Real Estate Database and confirmed by data owners in each of the offices possible. For IFC offices, office area is extracted from the country office real estate database and uploaded into the Credit360 system. Any discrepancies may then be identified by data owners in each office.

• In FY17, data related to electricity use, stationary combustion, refrigerant recharge amounts, purchased steam, purchased chilled water and water usage were collected at a WBG collocated office level where appropriate. This data was then apportioned to each agency as described above.

• Data for WB and IFC GHG inventories are collected using separate forms within the data management system using the same methodology and aggregated within the same WBG inventory document. A web-based database is used to centralize and manage the data collection and reporting process.

• For business travel, only employee air travel and travel by contracted car service data is collected and included because the majority of WBG business travel impacts are associated with plane travel.

• While every office is provided an opportunity to report activity data where possible, WBG’s online data management system allows the data provider from an office with five or fewer employees the option to (a) default to estimated emissions for electricity use and refrigerants (methodology for estimations are provided in relevant sections below in this IMP), and (b) to exempt the office from

reporting on-site fuel and mobile sources if the information is not easily accessible (estimates are not made for on-site fuel and mobiles sources given there is no credible methodology to do so).

• In FY07, employee number estimates were based on numbers for staff and extended-term consultants and extended-term temporaries as of the close of the fiscal year (June 30) provided by the Human Resources department. In FY08 the WBG requested that country offices provide data on all employees located in their offices, detailing the number of contractors, consultants, and staff working from the office as of the close of the fiscal year (June 30). For FY09-FY17, the WBG reverted to numbers for staff and extended-term consultants and temporaries as of the close of the fiscal year (June 30) provided by Human Resources to standardize measurement.

• Homes owned by the WBG in developing countries are not included in the inventory because the WBG does not control the operations of these buildings and activity data is difficult to obtain.


10 | P a g e

• Exceptions:

• The WB and IFC share Archive, Business Continuity Center, and Warehouse space leased by the World Bank. Since the World Bank manages these leases, the World Bank reports 100 percent of these emissions, including the Chantilly Facility (CF; located in Chantilly, VA), the Archives (located near Pittsburgh, PA), the Landover Service Center (LSC; located in Landover, MD), and the Warehouse (located in Sterling, VA).

• Emissions are estimated for buildings in Washington, DC where the WBG lacks operational control. To estimate emissions, assumptions about electricity usage are made based on area. Refrigerant emissions are estimated based on the technique described below. Due to lack of access to information, estimates are not made for on-site fuel consumption.

• There are mail vans in Washington, DC leased by the WB and used by both WB and IFC employees. The WB accounts for 100 percent of these emissions because they control the van leases and employ the van drivers. Because the IFC does not own any vehicles in Washington, DC, no emissions associated with vehicle refrigerant are reported.

EMISSIONS QUANTIFICATION

The following sections explain the GHG emissions quantification approach for each of the WBG’s emissions sources contained within the boundaries of the FY17 GHG inventory.

All methodologies are based on guidance from the GHG Protocol with emission factors taken from governmental and international organizations such as the Intergovernmental Panel on Climate Change (IPCC), EPA, and the International Energy Agency (IEA). All sources are noted in the appendices.

Emissions for both country offices and Washington, DC are calculated using similar equations. An annual survey is conducted to collect activity data from WBG locations in the Master Location List (Appendix F). Beginning in FY09, this survey was conducted through a Web-based data management system called Credit360, found online. See Appendix G for screenshots from the FY13 survey.

When activity data is unavailable, emissions estimates are made for electricity, refrigerants, and air travel based on office area or number of employees. Data gaps and data quality issues still exist in the WBG’s inventory that will be addressed along with data quality issues as additional and more accurate data become available over time. The primary data gaps are in country offices and predominately in smaller offices.

SCOPE 1 – DIRECT EMISSIONS

ON-SITE (STATIONARY) COMBUSTION – SCOPE 1


On-site combustion of fossil fuels for the generation of electricity, heat, or steam is one source of direct emissions.

Quantifying Emissions from On-site (Stationary) Combustion

To calculate the GHG emissions from on-site fuel combustion, the WBG collects the annual quantity of fuel purchased. To be conservative, the WBG assumes that all fuel purchased is also combusted in on-site operations in that same year. An appropriate emissions factor for each fuel type used is applied. Fuels used at WBG locations include diesel, gasoline, natural gas, propane, LPG, and kerosene.

Emissions are determined for each fuel source by multiplying the total annual fuel quantity expressed in units of energy purchased by the appropriate emissions factors for CO2, CH4, and N2O. If fuel quantity purchased is reported in volume or mass, this quantity is converted to units of energy based on the fuel’s heat content. Heat contents for specific fuels are listed in Appendix A. Totals for CH4 and N2O are multiplied by their global warming potentials (GWPs) to calculate CO2 equivalent emissions. See Appendix A for a table detailing stationary fuel emissions factors. CO2 and CO2 equivalent emissions for all fuels combusted are summed to obtain


11 | P a g e

the total CO2 equivalent (CO2eq) emissions for the year. Figure 1 shows the calculation used when data is provided.

Figure 1. On-site Fuel Combustion Emissions Calculation

Source: WB Staff

Methodology for estimating emissions from onsite (stationary) combustion

Occasionally, WBG offices are able to provide activity data on total fuel use for their buildings but not for WBG occupied space. In this case, if both the total building area is known as well as the WBG occupied area, the total fuel use is prorated for WBG occupied space and then multiplied by the appropriate emissions factors (Figure 2) to obtain the total CO2 equivalent emissions for the year.

Figure 2. Prorating On-site Fuel Combustion Emissions Calculation

Prorated Fuel Usage Quantity (energy)

Fuel-Specific CO2

Emissions Factor

Fuel-Specific CH4

Emissions Factor

Fuel-Specific N2O

Emissions Factor

CH4 Global

Warming Potential

N2O Global

Warming Potential

Metric Tons CO2

Metric Tons CH4

Metric Tons N2O X

X X

X

=

=

=

Metric Tons CO2 Metric Tons CO

2 eq

(CH4)

Metric Tons CO2 eq

(N2O )

Total Metric Tons CO

2 eq from Onsite

Combustion

Fuel Usage Quantity – entire building (energy)

X Area of WBG office Area of Entire Building

/ = Prorated fuel usage quantity (energy)

= + +


12 | P a g e

Source: WB Staff

There is no credible methodology to estimate emissions for missing on-site fuel data. The WBG’s online data management system allows the data provider from an office with five or fewer employees the option to exempt himself/herself from reporting on-site fuel if the information is not easily accessible. The WBG anticipates this data gap will improve in years to come as data providers gain more experience in gathering the data.

If an office has provided reliable fuel data in previous years but did not provide a response to the call for data this year, fuel use from the previous year is used as a proxy for this year’s fuel use.

REFRIGERANTS – SCOPE 1


Refrigeration, freezer, and air-conditioning equipment leak refrigerants. GHGs from heating, ventilation, or air conditioning (HVAC) operations, refrigeration, and freezer units are not intentionally released, but escape into the atmosphere as fugitive emissions through varying means, including but not limited to maintenance, installation, disposal, and operational leakage. Each refrigerant CO2 equivalent (CO2eq) is calculated by multiplying the mass of refrigerant by its global warming potential (GWP).

Two methods to calculate GHG emissions of refrigerants are explained in the GHG Protocol. The first (preferred) method requires the annual amount of each type of refrigerant purchased for each location (quantity-purchased method). The second method, relating to capacity and leakage characteristics by equipment type, requires the total capacity for refrigerants in each type of equipment used at a location, the corresponding manufacturer’s leakage rate for each type of equipment, and the type of refrigerant used in each type of equipment. Equipment types are distinguished by whether the equipment is a HVAC unit, a freezer, or a refrigeration unit. Due to activity data available, only the first method is used for the WBG inventory.

Quantifying Emissions from Refrigerants

Refrigerant CO2 equivalents are calculated by multiplying the weight of escaped refrigerant by the corresponding GWP. GWPs for refrigerants reported in the inventory are gathered from the IPCC or from sources referencing the IPCC. See Appendix B for details on GWPs of refrigerants and sources. If the type of refrigerant is unknown (“other” is chosen in the online survey), HFC-134a is assumed to be the refrigerant type. See Figure 3 for the preferred calculation methodology, and Table 2 for the calculation method used in cases where refrigerant data are not available.

Figure 3. Refrigerant Emissions Calculation (Preferred)

Source: WB Staff

Estimating Emissions from Refrigerants

In some cases, WBG country offices provide the refrigerant recharge quantity for the entire building but not for WBG occupied space. In this case, if both the total building area is known as well as the WBG occupied area, the total refrigerant recharge amount is prorated for the WBG occupied space and then multiplied by the appropriate refrigerant-specific global warming potential to obtain the total CO2eq emissions for the year.

In the case where activity data (refrigerant purchases) is not available for use, emissions are estimated based on the refrigerant emission rate (ton refrigerant emitted/ft2/year) based on the occupied WB/IFC building area.

The method used to calculate the intensity rate is laid out in Table 2. In this method, the estimated area per ton of cooling (one ton of cooling per 500 ft2 is commonly used in the United States and will be used globally for our purposes) is multiplied by a conversion factor of one ton of cooling per one kg of refrigerant charge and then by an assumed leakage rate of 10 percent. The resulting kilogram of refrigerant per square foot factor is multiplied

Refrigerant-Specific Global Warming Potential

X

Total Mtons CO2 eq from Refrigerants =

Refrigerant Recharge Quantity


13 | P a g e

by the square footage of the location that did not provide refrigeration data. This calculation results in the estimated number of kilograms of refrigerant recharge used in the IFC/WB building area.

Table 2. Assumptions Used to Create Intensity Rate for Refrigerant

Step Amount Assumed

Source

Estimated area per ton cooling (ft2/ton)) 500 HVAC rule of thumb

Refrigerant charge per cooling ton (kg/ton) 1 Climate Leaders – Direct HFC and PFC Emissions from Use of Refrigeration and Air-Conditioning Equipment

Annual operating loss factor 10%

Climate Leaders – Direct HFC and PFC Emissions from Use of Refrigeration and Air-Conditioning

Equipment

Table 2: Type of Equipment – Residential and Commercial A/C

Emission Rate (ton refrigerant per ft2-year) 0.0000002

Source: WB Staff

The emissions rate used (0.0000002 ton refrigerant per ft2-year) is then multiplied by the area of the WB/IFC building area and then by the GWP of the refrigerant type specified. If the refrigerant type is unknown, the WB/IFC conservatively assumes the refrigerant type to be HFC-R134a. This number is converted to metric tons to calculate the total metric tons of CO2eq emitted (Figure 4).

Figure 4: Estimating Refrigerant emissions

Source:

Refrigerant data is often one of the hardest pieces of information for offices to collect. While every office is provided an opportunity to report activity data where possible, the WBG’s online data management system allows the data provider from an office with five or fewer employees or from those offices that cannot collect the required data the option to default to estimated emissions for refrigerants. Estimates are included for completeness, however they represent a small portion of the WBG’s emissions source because its operations do not require a high intensity of refrigeration. The WBG anticipates this data gap will improve in years to come as data providers gain more experience in gathering the data.

Quantifying Refrigerant Emissions from Vehicles

Refrigerants utilized in vehicles for air conditioning are a small part of the WBG’s GHG emissions from internal business operations. The WBG includes data on refrigerants from vehicles used globally.

Where available, the number of vehicles, grouped by each vehicle type, is multiplied by the standard refrigerant charge per unit as outlined by the EPA. For example, all passenger cars are assumed to use R-134a and have a charge per unit of 0.8, thus eight passenger cars will have a total charge of 6.4 kg of refrigerant. The total charge is then multiplied by the standard operating loss factor (20 percent) to arrive at the annual refrigerant loss in kg. The annual refrigerant lost is multiplied by the global warming potential of that refrigerant (most A/Cs are R-134a) to obtain the total metric tons of CO2eq emitted (Figure 5).

Refrigerant-Specific Global Warming Potential

- X Total Mtons CO2 eq from Refrigerants 2

= Emissions Rate Occupied area X


14 | P a g e

Figure 5. Refrigerant Emission Calculations from Vehicles

Source: TK

Table 3 Vehicle Refrigerant Charge Factors

Vehicle Type Charge Factor Source

Passenger Car 0.8

EPA Refrigerant Guidance, 2004 Table 2

Light Truck 1.2

Airplane 6.4

MOBILE SOURCES - SCOPE 1


Mobile GHG emissions result from the combustion of fuel in an organization’s owned and leased vehicles.

In accordance with the “operational control approach” for organizational boundaries, the WBG reports data for fleet vehicles that it owns and leases. All mobile emissions, regardless of location, are calculated using the same methodology to ensure consistency in the quantification process.

In the United States, the EPA provides vehicle-specific emissions factors that are used to derive CH4 and N2O emissions from vehicles. To calculate these emissions, fuel usage quantity is multiplied by CH4 and N2O emission factors for the respective vehicle type. The CO2, CH4, and N2O emissions are then added to quantify CO2eq. Since collecting precise car models from all country offices is a difficult task, country office emissions calculations use one set of CH4 and N2O factors for each fuel type (gasoline, diesel, and LPG). These standards have been

set in place until more accurate data is available.

Quantifying Emissions from Mobile Sources

The majority of WBG offices report the quantity of fuel used from driver logs or invoices. Direct CO2eq emissions from owned mobile combustion sources are calculated based on fuel purchase records, where available. Many vehicles have fuel consumption logs to track their purchases.

All transport fuel emissions factors are listed in Appendix C. The preferred approach to calculate mobile sources is to multiply the volume of fuel by the fuel-specific CO2eq emissions factors to calculate the total CO2eq emissions (Figure 6).

Number of Owned Vehicles

X Standard Refrigerant Charge per vehicle

Standard operating loss factor (20%)

X = Annual Refrigerant loss (kg)

Annual Refrigerant loss (kg)

X Refrigerant-Specific Global Warming Potential

= Total metric tons CO

2 eq from

refrigerants

Convert kg to mtons (1000) ÷


15 | P a g e

Figure 6. Mobile Fuel Emissions Calculation (Preferred)

Source: TK

Methodology for Estimating Emissions from Mobile Sources

When no transport fuel data is provided, the WBG makes estimates based on distance driven and fuel economy of the vehicle type (Figure 7). For the purposes of calculating emissions, gasoline is assumed to be the fuel used when estimating emissions in this fashion for sedans and motorcycles, and diesel is assumed to be the fuel used

when estimating emissions in this fashion for SUVs, light trucks and heavy trucks.

Figure 7. Mobile Fuel Emissions Calculation (Vehicle Type and Distance)

Source: TK

If mileage and fuel economy are not available, data providers are given an option to report total amount spent on fuel over the fiscal year, and the cost of fuel (in US Dollars) per gallon or liter in the city location on average over the fiscal year. Data providers are also asked to indicate the type of fuel purchased. Emissions estimates are then made based on the total fuel costs and the average cost of fuel per gallon or liter provided (Figure 8).

Figure 8. Mobile Fuel Emissions Calculation (Fuel Cost)

X

Fuel Usage Quantity (volume)

Fuel-Specific CO2

Emissions Factor


2 from Mobile

Combustion

=

X Estimated Fuel Usage Quantity

Fuel-Specific CO2

Emissions Factor


2 from Mobile

Combustion

=

X Total Distance Driven Vehicle-Specific Fuel Efficiency (volume of fuel/distance)

Estimated Fuel Usage Quantity =

X

Estimated Fuel Usage Quantity

Fuel-Specific CO2

Emissions Factor


2 from Mobile

Combustion

=

/ Total Fuel Cost

Average Cost per Unit of Fuel Type

Estimated Fuel Usage Quantity =


16 | P a g e

Source: TK

Not all offices report mobile fuel use. Some do not have any owned or leased vehicles. The WBG’s online data management system allows the data provider from an office with five or fewer employees the option to exempt himself/herself from reporting mobile fuel if the information is not easily accessible. In FY17, there were a few cases where offices did not reply to the survey but had done so in previous years. In these cases, data regarding fuel use in FY16 was used as a proxy for FY17 fuel use.

SCOPE 2 – INDIRECT EMISSIONS

ELECTRICITY PURCHASES – SCOPE 2


The second scope of emissions under the GHG Protocol is indirect emissions from purchased electricity. These emissions are classified as indirect because the emissions do not occur at the facility, but rather at the plant where the electricity or steam is generated from fuel. These emissions are a consequence of the activities of the organization because although the organization does not own or control the sources, its actions require the generation of electricity. Organizations report emissions from the generation of purchased electricity that is used by equipment or operations controlled by them. For many organizations, purchased electricity represents one of the largest sources of GHG emissions and is the area where the most opportunities for reductions in GHG emissions exist.

Electricity activity data for each WB/IFC office is collected using one of three methods. The preference for reporting the data is to use method one. If this data is not available, then method two is used, and as a last resort, method three is employed.

WBG methods for reporting electricity data:

1. Where possible, annual metered electricity usage (kWh) is reported for WBG offices in which the data provider was able to obtain information from electricity invoices.

2. For WBG offices without separate meters, data providers are asked to provide electricity invoice data for the entire building, total area of the entire building, and area of IFC/WB-occupied space in the building We prorate the annual electricity usage based on the portion of IFC/WB-occupied area in the entire building, and the electricity use invoiced for the entire building.

3. For offices that do not provide any data, estimates are based on regional electricity intensity (kWh/ft2) established from actual data provided from method one. This method is explained below in more detail.

Quantifying Emissions from Electricity

GHG emissions from the generation of electricity include CO2, CH4, and N2O. GHG emissions are calculated based on the amount of kWh purchased multiplied by the power plant emissions factor. WBG offices often do not have enough information about the specific plants or power pools that provide them with power and electricity. Therefore, for the WBG’s facilities, GHG emissions from electricity usage are calculated based on the amount (kWh) of electricity purchased and then multiplied by the subregion, region, or country-specific emissions factor for CO2, CH4, and N2O.

For electricity purchased in the United States, each year emissions factors are taken from the most recent EPA eGRID to calculate GHG emissions. In accordance with EPA guidelines, previous years’ inventories are not retroactively updated with the most recent emission factors. The emission factors used to calculate the FY17 inventory come from eGRID 2016.


17 | P a g e

The WBG uses region or country-specific emissions factors from IEA or country-based analogs for all other locations. All emissions factors are listed in Appendix D. Figure 9 shows the GHG emissions calculation for WBG locations where energy use amounts are provided. For some countries, IEA country-specific emission factors do not exist. In these cases, region average CO2/kWh emissions factor are used as found in the IEA document “CO2-highlights.xls”. To calculate CH4 and N2O emissions factors, the ratio of CH4 and N2O to CO2 emission factors is calculated, which is then multiplied by the CO2 emission factor for each respective GHG. For example:

Figure 9 Estimating Country Electricity Emission Factors: Lao PDR

Source: WB Staff

Figure 10. Purchased Electricity Emissions Calculation (Preferred)

Source: WB Staff

Methodology for Estimating Electricity Use

For offices that are able to provide electricity consumption for the entire building but not for the IFC/WB-occupied area, annual electricity consumption is prorated for the IFC/WB-occupied area. This is accomplished by dividing the IFC/WB-occupied space by the size of the entire building and then multiplying this figure by the annual electricity consumption of the facility.

Region Specific Emissions Factor for CO2

X Mtons CO2

=

kWh of Purchased Electricity

Region Specific Emission Factor for CH4

X Mtons CO2 eq (CH4) =

CH4 Global Warming Potential

X

Region Specific Emission Factor For N2O

X

Mtons CO2 eq (N2O) =

N2O Global Warming Potential

X

Mtons CO2 eq (CH4) +

Total Mtons CO2 eq from electricity =

Mtons CO2 Mtons CO2 eq (N2O) +


18 | P a g e

Figure 11. Purchased Electricity Emissions Estimate (Building Area)

Source: TK

While every office is provided an opportunity to report activity data where possible, the WBG’s online data management system allows the data provider from an office with five or fewer employees the option to default to estimated emissions for electricity use.

For WBG offices that are unable to provide electricity consumption data, an estimate of annual electricity use is calculated based on an IFC/WB regional electricity intensity figure and the area of the office occupied (Figure 11). The intensity figure is calculated for each IFC or WB region by adding the annual electricity consumption for each country office that responded within that region and dividing the sum by the sum of the area of each office to generate an electricity consumption per area (kWh/ft2) intensity figure. For collocated offices, this intensity figure is an average of the IFC and WB regional intensity figures. This regional figure is then multiplied by the area of each non-responding country offices to calculate an estimate of electricity consumption (kWh) for each country office. Tables 4 (WB) and 5 (IFC) show the IFC/WB country offices that were used to calculate each regional average.

These numbers may change in the future as more comprehensive data is collected. In this instance, we would recalculate previous years emissions for electricity based on the new electricity intensity averages. We will continue to use the FY08 averages, until stating a new base year, at which time we will recalculate these electricity intensity averages for each region.

Table 4. Electricity Averages for WB Regions (Based on FY8 Data)

WB Region Average Based on the Following Countries kWh/ft2

East Asia and the Pacific (EAP) Australia, Cambodia, China, Indonesia (Jakarta), Laos, Thailand, Timor-Leste, Vietnam (Hanoi)

11.1

Europe and Central Asia (ECA)

Albania, Armenia, Belarus, Georgia, Kazakhstan (Almaty), Kosovo, Kyrgyz Republic, Macedonia, Poland, Romania, Serbia, Tajikistan, Turkey, Ukraine

14.8

Average kWh/ area/yr X

Estimated kWh of purchased electricity =

Building area

X Mtons CO2

=

Estimated kWh of Purchased Electricity

X =

CH4 Global Warming Potential X

X = X

+

Total Mtons CO2 eq from Electricity

= Mtons CO2

Mtons CO2 eq (N2O) +

Region Specific Emissions Factor for CO2

Region Specific Emissions Factor For N2O

Region Specific Emissions Factor for CH

4

N2O Global Warming Potential

Mtons CO2 eq

(N2O)

Mtons CO2 eq

(CH4)

Mtons CO2 eq

(CH4)


19 | P a g e

Latin America and the Caribbean (LCR)

Argentina, Bolivia, Colombia, Dominican Republic, Ecuador, Guatemala, Haiti, Honduras, Jamaica, Peru

15.2

Middle East and North Africa (MNA)

Egypt 15.1

South Asia (SAR) India (New Delhi–70 Lodhi, 53 Lodhi Estate, Golf Links, Polish Embassy), Pakistan

18.2

Sub-Saharan (AFR) Benin, Burkina Faso, Eritrea, Ethiopia, Gabon, Ghana, Malawi, Niger, Rwanda, Senegal, Zimbabwe

10.8

United States/Other United States 23.0

Locations omitted were Bangladesh, D.R. of Congo, India (New Delhi–INTACH), Iran, Liberia, Mexico, Moldova, Mozambique, Paraguay, Russian Federation (Moscow), Sudan (Juba), Uruguay.

Source: WB Staff

Table 5. Electricity Averages for IFC Regions (Based on FY 08 Data)

IFC Region Average Based on the Following Countries kWh/ft2

Central & Eastern Europe (CEU)

Georgia, Ukraine (Kiev, Vinnytsia) 13.2

East Asia & the Pacific (CEA) Australia, China (Chengdu, Hong Kong, Beijing), Indonesia (Aceh, Jakarta), Lao P.D.R., Philippines (Manila), Vietnam (Hanoi, Ho Chi Minh City)

8.6

Latin America & the Caribbean (CLA)

Argentina, Bolivia, Brazil (Rio de Janeiro, Sao Paulo), Colombia, Mexico, Peru

9.0

Middle East & North Africa (CME) Egypt, Morocco 10.6

South Asia (CSA) Bangladesh, Sri Lanka 20.1

Southern Europe & Central Asia (CSE)

Albania, Kazakhstan, Kyrgyz Republic, Macedonia, Serbia and Montenegro, Turkey

9.3

Sub-Saharan Africa (CAF) Cameroon, Nigeria, Senegal, South Africa 9.0

Part 1 Countries United Kingdom 34

United States U.S. facilities with operational-control (F) 21.6


20 | P a g e

Locations omitted were Algeria, Belarus, Bosnia and Herzegovina, France, India (New Delhi), Indonesia (Aceh), Jordan, Kenya (Nairobi), Laos, Romania, Mongolia, Pakistan (Karachi, Islamabad), Russian Federation (Moscow), Ukraine (Vinnytsia), Yemen.

Source: WB Staff

Table 6. Electricity Averages for Collocated Offices

Collocated Region kWh/ft2

East Asia and the Pacific 9.84

Europe and Central Asia 14.78

Latin America & the Caribbean 12.09

Middle East & North Africa 12.84

South Asia 19.13

Sub-Saharan Africa 9.89

Other/Part 1 28.47

PURCHASED HEAT, STEAM, AND CHILLED WATER – SCOPE 2

Indirect emissions also include emissions from heat, steam, and chilled water purchased for use in WBG offices. Although the number of offices that purchase heat, steam, or chilled water is small, in the effort of completeness we have decided to include these purchases. At the WBG Washington, DC offices, heat, steam, and chilled water are not purchased.

Quantifying Emissions from Steam

Emissions from the purchase of steam are estimated based on the amount of steam purchased and an assumed fuel type (natural gas) and boiler efficiency (80 percent) based on the EPA Climate Leaders Guidance “Indirect Emissions from Purchases/Sales of Electricity and Steam.” Steam purchase can usually be found on utility bills or other records. If steam purchased is communicated in mass instead of energy, the mass should be converted to energy based on the heat content of steam (assumed to be 1200 Btu/lb). The steam purchased (in units of energy) is divided by the boiler efficiency and then multiplied by emission factor for each GHG for natural gas. Each GHG is multiplied by its GWP and added to calculate the CO2 equivalent emissions from the purchase of steam (Figure 12).


21 | P a g e

Figure 12. Estimating Emissions From Purchased Steam

Source: TK

Table 7. Assumptions for Calculating Emissions from Steam

Category Assumption

Fuel Type Natural Gas

Fuel to Steam Conversion Efficiency 80%

Steam Heat Content (Btu/lb) 1200

Source: WB Staff

Quantifying Emissions from Chilled Water

Estimates for emissions from chilled water production are a small part of the overall WBG emissions inventory. In FY17, only offices in Gabon and Beijing, China responded with data regarding their chilled water purchases.

The activity data used to calculate emissions resulting from purchases of chilled water are ton-hours and the electric grid country/regional factor. A default estimate is used in the calculation unless site-specific data is available regarding the chilled water supplier. A chiller efficiency of 0.75 kW per ton of cooling is assumed as the default, which was obtained from the 2006 Buildings Energy Data Book, 2003 stock efficiency for centrifugal chillers. This chiller efficiency is multiplied by the reported ton-hours of cooling to produce an estimate of the electricity used. The estimate of the electricity used in chilled water production is then multiplied by the country-specific emissions factors for CO2, CH4 and N2O, as is described in the estimation of electricity emissions above.

SCOPE 3 – OTHER INDIRECT EMISSIONS

BUSINESS TRAVEL EMISSIONS – SCOPE 3

Amount of steam purchased (energy)

/ Boiler efficiency (80%)

= Amount of fuel used for steam (energy)

X =

Amount of fuel used for steam (energy)

X

X

Fuel-specific CO2

emission factor

Fuel-specific CH4

emission factor

Fuel-specific N2O

emission factor

Metric Tons CO2

Metric Tons CH4

Metric Tons N2O

=

=

+

= Metric tons CO

2 eq

X

X

CH4 GWP

N2O GWP

Metric Tons CO2 Metric Tons CH

4 Metric Tons N

2O +


22 | P a g e

Business air travel is representative of the WBG’s core business activities and a significant emissions source; therefore, air travel is included as a voluntary Scope 3 emissions source in the inventory. Due to difficulty in obtaining data for train and car rental, and the small proportion of associated emissions, these are excluded from the inventory. This data may be included in future inventories.

Quantifying Emissions from Air Travel

For the WBG’s global operations, air travel data includes air travel for all WBG employees with an identification number (UPI)—this includes contractors, consultants, and full-time staff. This data comes from entries into a statement of expense reporting system that must be completed by all employees who travel. The main purpose of this system is for staff to report all personal expenses related to a mission trip, so the system captures all legs of a trip including stop-overs using city codes (for example, WAS for Washington, DC). Each leg of the trip has an origin city code and a destination city code (for example, a round trip journey from Washington, DC to Nairobi,

Kenya with a stopover in Paris would be WASPAR PARNBO, NBOPAR, PARWAS). The first step to calculate distance traveled by air travel in a given fiscal year is that all city pairs from every leg of every mission trip approved and completed by WBG employees are extracted from the travel expense system along with other relevant data. To calculate flight distances between these city pairs, the city pairs are first checked against a Ticketed Point Mileage (TPM) table that contains exact distances for city code pairs and, if not found in this table, against a Maximum Permitted Mileage (MPM). The MPM table reflects the distance limit between two specified international points within which passengers can travel at the direct fare, provided that the sum of ticketed point mileage distance is not exceeded. If the city pair is not found in either of these, the trip is flagged as having a distance of 100.

These unknown “100” distances are estimated in the following way:

• If the travel is within the same city, the trip is assumed to not be a flight and is not included in the calculation.

• If the travel is within the same country, the number of flight legs for that country is multiplied by the square root of the country area.

• If the travel is not within the same country, the average known distance per flight leg originating from the country is multiplied by the number of flight legs departing from that country.

Once a distance has been calculated for each trip, the air travel data is broken down by distance into three categories for each leg (short haul, medium haul, and long haul). The definitions used are from the revised “2010 Guidelines to Defra/DECC's GHG Conversion Factors for Company Reporting. Version 1.1 FINAL”” (updated June 2010): a short-haul flight is less than 300 miles; a medium-haul flight is less than 2,300 miles; and a long-haul flight is more than or equal to 2,300 miles. The emission factor for unknown flight distances that have been estimated is calculated by taking the total kg of emissions from business air travel and dividing it by the total number of passenger-miles for the WBG.

To calculate air travel emissions for each flight category, the distance traveled and the appropriate GHG emission factor is applied to obtain the emissions due to air travel (Figure 13). For a list of emissions factors, see Appendix E.

Figure 13. Air Travel Emissions Calculation (Preferred)

Note on Integration of the Radiative Forcing Index for Medium- and Long-haul Flights

Radiative forcing is the change in radiation received at the surface of the earth due to the emission of GHGs. High-flying aircraft spur radiative changes through three types of processes: direct emission of radiatively active substances, such as CO2 and water vapor; emission of chemicals that produce or destroy radiatively active substances, such as NOx; and emission of substances that generate aerosols or lead to changes in natural clouds (for example, contrails). The radiative forcing index (RFI) is a measure of the importance of these aircraft emissions on the atmosphere. The current, generally accepted RFI factor is 2.7.

X

Distance Traveled (Passenger-km)

S-, M- or L-Haul Emission Factor (CO

2 eq/Passenger-km)


2 eq from Air

Travel

=


23 | P a g e

Neither the United Kingdom’s DEFRA, the ICAO, nor the United States’ EPA or WRI factor the RFI into air travel emissions calculations despite the recommendation of the UNFCCC. Therefore, the WBG does not currently integrate RFI into its GHG inventory for air travel. Both the WRI and the EPA are reviewing this issue and may decide to integrate RFI into air travel emissions calculations. If international consensus is reached on the appropriate application of RFI, the WBG will revisit this issue.

CONTRACTOR-OWNED VEHICLES – SCOPE 3

Emissions from vehicles owned by contractors but used for WBG business make up a small proportion of WBG’s emissions, but are included as a voluntary Scope 3 emissions source in the inventory. Emissions are calculated in the same manner as those for Scope 1 mobile emissions, however as the number of vehicles is not usually available and the emissions from vehicle refrigerants is considered de minimus, emissions from vehicle refrigerants are not calculated.

MAJOR MEETINGS

The following methodology regarding estimating emissions from the World Bank/International Monetary Fund (IMF) Spring and Annual Meetings refers to emissions calculated prior to FY15. Since then, the IMF has assumed responsibility for, and has offset through the purchase of Verified Emissions Reductions, the emissions associated with these biannual meetings.

The WB/IMF Spring and Annual Meetings focus on a range of issues related to poverty reduction, international economic development, and finance. Annually, about 10,000 people attend the meetings, including on average 3,500 members of delegations from the member countries of the WBG and the IMF, roughly 1,000 representatives of the media, and more than 5,000 visitors and special guests drawn primarily from private business, the banking community, and NGOs.

Because these meetings are a key aspect of the way the WBG does business, they are included in Scope 3 emissions reporting. The delegates attending the meeting, while not WBG staff, are travelling to the meeting site, staying in hotels, and using taxis to navigate around town because of the meetings, and therefore the related emissions are considered to be under our operational control.

Key emissions from these meeting include air travel emissions, electricity emissions from hotel stays, and mobile combustion emissions from within city transportation. Additionally, if the meeting is hosted at a non-WBG owned facility, emissions from the venue are also calculated.

Estimating Business Travel Emissions from Meetings

To estimate emissions from business travel related to major meetings, a list of delegate attendees is obtained from a Conferences Officer from the Joint Secretariat for the Bank/Fund Conferences. Because the meetings are hosted by both the WBG and IMF, the GHGs assigned to delegates are divided up so that the IMF assumes responsibility for all delegates coming from IMFC countries (see Appendix H). The remaining countries are assumed to be representing WBG Member Countries. To estimate the air travel emissions associated with their flights to Washington, DC, it is assumed that each delegate is flying round trip from the capital city airport to Washington Dulles (IAD) International Airport. Flight distances are estimated using an online calculator

(http://www.airrouting.com/content/TimeDistanceForm.aspx) and multiplied by two to represent a round-trip flight. Each flight leg is then grouped into the appropriate short, medium or long haul threshold (see the section on Business Travel Emissions, above), multiplied by the appropriate emission factor, and summed to calculate air travel emissions for each meeting.

Estimating Emissions from Hotel Stay for Meeting Delegates

The next largest source of emissions from major meetings is the electricity associated with the hotel stay from each delegate. To estimate emissions associated with these stays, it is assumed that each delegate stays in a hotel room by themselves for four nights (the meetings span three days and two nights). An average energy consumption of 69.5 kWh/room/night is assumed, (personal communication with Manager – Social Responsibility and Community Engagement for Marriott International). This total electricity consumption for the stay is then multiplied by the appropriate electricity emissions factor for the location where the meeting is hosted (in most cases this will be the

http://www.airrouting.com/content/TimeDistanceForm.aspx


24 | P a g e

emission factor for the RFC East subregion in the United States). These emissions are then summed to calculate total hotel-room related emissions for the meeting.

Estimating Emissions from Delegate Travel from Airport to Meeting Venue

The other source of emissions related to these major meetings is from delegate travel from the airport to the meeting venue. A conservative assumption is made that most meeting delegates will travel by themselves using taxis or other car services. For meetings hosted in Washington, DC, the distance is assumed to be 42 km, which is the distance by road from Dulles International Airport and the World Bank’s Main Complex building. This distance is multiplied by the number of attendees and by two to represent a round trip voyage. It is then converted to miles and multiplied by the appropriate emission factor for grams of CO2-e per passenger-mile (Appendix C), which are then summed to calculate total delegate travel from the airport to the meeting venue.

Estimating Emissions from Meeting Venue

Emissions from the meeting venue are another source of emissions related to organizing and holding a major meeting. Every Spring Meeting and two out of every three Annual Meetings are hosted at the WB and IMF premises and therefore the energy use from the meeting venue is already captured as outlined in this IMP. If a

meeting is held in an external venue, the preferred methodology for estimating emissions from the energy consumed by the venue is to prorate the total annual energy use of the venue by the number of days the venue is used for the meeting. For example, if a large convention center in Tokyo has an electricity consumption of 50,000 MWh per year, and the Annual Meetings are hosted at this facility for three days, then 50,000 MWh is divided by 365 days and multiplied by three days to calculate the electricity consumption for the meeting. This electricity consumption is then multiplied by the regional electricity emissions factor to calculate the emissions related to the meeting venue.

DATA MANAGEMENT

ACTIVITY DATA AND DATA MANAGEMENT

WBG Data Collection

The WBG continued to centralize GHG emissions data collection and management in FY17 by using a Web-based inventory management database called Credit360. The online system, accessible to registered data owners via http://worldbank.credit360.com, allows users to input activity data via a simple online survey that collects information on energy use, refrigerant purchases, and business travel. Data is also collected on recycling habits, volunteer hours, water use, financial donations, and energy efficiency initiatives.

Data owners in country offices are typically resource management staff or designated “champions” who work with the appropriate staff to collect the necessary information. A notification is sent to data owners in the first quarter of each fiscal year alerting them that annual Carbon Footprint Survey is available. The system is secure and requires data providers (“Users”) to log in with a username and password. This method also provides an audit trail, so it is clear which staff member is entering the data. Upon log-in, users are provided links to each office that they have been assigned, and answer questions in the form of an online survey.

As previously mentioned, offices with five or fewer employees are provided an option to (a) default to estimated emissions for electricity use and refrigerants, and (b) to exempt the office from reporting on-site fuel and mobile sources. These options are provided assuming the difficulty in obtaining this data, probable inaccuracy, and the insignificant percentage it represents of the WBGs’ overall carbon inventory.

In a few cases, offices have more than five employees but do not respond to the survey, either due to lack of staffing, neglect or other reasons. In these cases, the Sustainability Coordinator in charge of the WBG GHG inventory responds to the survey for the office, entering required information on office size, but triggering the estimates for when no data is entered for electricity and refrigerant use by picking “Exempt-Less than 5 employees” so that the Credit360 system is prompted to use the estimates detailed in the sections above. This was required for 12 WB offices and seven IFC offices in FY17.

To collect GHG emissions at WBG facilities in Washington, DC, engineers, building managers, real estate experts, travel management officers, and Human Resources analytics officers identified in the “Management Tools” section are asked to submit their respective data sets for the fiscal year.

http://worldbank.credit360.com/


25 | P a g e

Data Sources

• Scope 1 direct emissions data from on-site fuel use typically comes from fuel-purchase receipts or records maintained by facility managers of owned buildings and from building managers or landlords for leased buildings.

• Scope 1 emissions data for mobile sources typically come from fuel-purchase receipts. Where fuel purchase

data is not available, typically driver log information on fuel purchases or mileage is used.

• Scope 1 emissions data from fugitive refrigerant emissions come from service records from the landlord or facility manager and are submitted to WBG data owners on an as-needed basis.

• Scope 2 emissions from electricity usage typically come from landlords for leased buildings and from monthly electric utility bills for owned buildings.

• Scope 3 optional emissions data for business travel initiated from Washington, DC is reported through the WBG’s Travel Office, which uses a travel management contractor, currently American Express. American Express creates itineraries for each traveler’s trip and data is recorded in SAP through a Statement of

Expense system. Itineraries for global employees must also be recorded in the statement of expense system for travel to be approved and authorized. This data is combined and summarized and reported at all organizational levels, from vice presidential units down to the individual traveler.

Headquarters Specific: USA

Scope 1 emissions data from fugitive refrigerant emissions come from service records from the facility contractor, Donohoe, submitted to WBG engineers on an as-needed basis.

At the WB, the CR team coordinates the assignment of roles and responsibilities for GHG inventory data management, collects relevant data from assigned staff, and then calculates the GHG inventory.

At the IFC, the Footprint Program Officer coordinates the assignment of roles and responsibilities for GHG inventory data management, collects the relevant data from assigned staff, and then calculates the GHG inventory.

Scope 1 emissions data for all tracked emission sources are given in Table 8.

Table 8. Data Origins for Scope 1 Emission Sources

Source Data Tracked Data Origin Vendor Source Record Responsibility

Boilers and generators

Quantity of fuel consumed

Purchasing records and utility bills

Washington Gas GCSCR

CHRFM

Air conditioning

Quantity of refrigerant replaced, removed

Service records Donohoe

Brandywine Real Estate

GCSCR

CHRFM

Mobile combustion sources

Fuel purchased Departmental fuel logs, purchasing card records

NA GCSSC, GCSCR, GCSMS,

CHRFM

Source: TK

Scope 2 emissions from electricity usage at WBG-owned buildings are assessed through electric utility bills (kWh) consumption records (Table 9).


26 | P a g e

Table 9. Data Origins for Scope 2 Emission Sources

Source Data Tracked Data Origin Vendor Source Record Responsibility

Electricity

Quantity of electricity consumed (kWh)

Utility bill PEPCO GCSCR

CHRFM

Source: TK

QUALITY ASSURANCE

The WBG staff—the WB CR team and the IFC Footprint Program Officer—annually review the data collection process during the inventory development process to improve accuracy and fill data gaps.

To provide a level of quality assurance with the country office activity data, all office surveys are reviewed in detail and clarifying questions are sent to key contacts. When clarifying information is not received, data is taken out of the inventory if it has a large potential for error and will skew inventory results. In these cases, an estimate is made when possible. In the data management system, Credit360, this whole process of data entry, returned data, omitted data, and accepted data is captured for auditing purposes.

Beginning with the FY11 inventory, automated data validation was used in the data management system. If data entered fell outside of pre-determined upper- and lower-bounds, an explanation was required by the person entering the data with information on the percentage difference compared to the previous year. If no explanation was given, the data survey could not be submitted to the approver. The thresholds for this automated data validation can be found in Appendix I.

Additional steps are taken to ensure the highest level of data quality:

• To submit a survey, a data owner from a country office must have responded to all required questions.

• The WB Environmental Specialist reviews each response of the on-line survey once it has been submitted before it is merged into the main database. This staff member compares responses by looking at two things: 1) comparing the entry to the previous year’s response from the same office facility; 2) scanning for data points that may seem too high or too low for a particular activity data relative to the office size. If any clarifications or questions are required, the Environmental Specialist uses the feedback modules available in Credit360 to query data points s/he may have a question about. The query is then sent to the data owner, who must address the query before re-submitting the data to the Environmental Specialist for approval.

• Once the majority of data is submitted, the Environmental Specialist does a second level of quality assurance for electricity usage data since this is the second largest source of emissions (second to air travel). The Environmental Specialist exports data from Credit360 to calculate kWh usage per square meter for each office, and checks intensity figures for each office looking for any figures that are well

above or below the average range for the region in which the office is located.

• If any are found, these data owners are contacted for supporting documentation and clarification. If the supporting documentation is not available or no real data can be found, the electricity consumption for the office is instead estimated based on the regional intensity figure.

• The electricity intensity report is then sent to the IFC Footprint Program Manager for further review to ensure all outlier figures have been identified and resolved.

DATA GAPS

Currently, data gaps exist for all emissions sources. The biggest gaps are for on-site fuel and refrigerant leakage data from developing country offices; however, both of these represent a very small percentage of the overall WBG GHG inventory (estimated less than five percent). Estimations are used to fill refrigerant data gaps, and previous years data, where available, is used to fill on-site fuel use gaps, as explained in this IMP.


27 | P a g e

Prior to the use of the WBG’s Statement of Expense (SOE) system for global air travel data, air travel data had the biggest data gaps. However, data from this new system now provides exact distances for the majority of WBG staff air travel. The exception is for city pairs entered into the SOE system that are not matched up on either the Ticketed Point Mileage (TPM) table or the Maximum Permitted Mileage (MPM) table, both of which are used to calculate distances for each city pair. It is estimated that about 25 percent of air travel data from the SOE statement falls under this data gap. Estimations are used to fill these gaps as explained in this IMP.

If a major known data gap is revealed, such as the reporting of a large amount of stationary fuel combustion for one fiscal year in an office but a lack of data in the next, the data gap will be filled by first making every effort possible to determine the activity data, and if this is not available, using the previous year’s data. However, if it is known that there has been a major change in the size of the office, and actual data is not available, the activity data will be estimated as detailed above.

Washington, DC specific

At the WBG Headquarters in Washington, DC, the following actions are undertaken to prevent errors:

• GCSCR and CR will assess the list of WB management–controlled properties to ensure that the inventory includes all leased and owned facilities, as well as to confirm the area where possible. CHRFM and FP will assess the list of IFC management–controlled properties to ensure that the inventory includes all leased and owned facilities, as well as to confirm the area of all existing space.

• GCSCR and CR will inventory each WB management–controlled facility for stationary fuel sources, including generators, boilers, and chillers. CHRFM and the FP will inventory each IFC management–controlled facility for stationary fuel sources including generators, boilers, and chillers.

• GCSCR and CR will review all WB fuel records for the year to ensure that logs and invoices are consistent with reality. CHRFM and the FP will review all IFC fuel records for the year to ensure that logs and invoices are consistent with reality.

• GCSCR and CHRFM will review utility bills provided by the utility company to ensure that the patterns are consistent with use. Upon changes to the bills, GCSCR will notify CR, and CHRFM will notify the FP, to update the inventory.

• All “owners” of WBG vehicles will be responsible for their own fuel logs and reporting. This includes GCSCR, GCSSO, and GCSMS.

DATA SECURITY

Credit360 is a Web-based data management program based around an industrial strength database that is scalable, fine-grained, and sophisticated. It is designed to run over standard security protocols such as SSL for Web access.

Core permissions, such as read and write access, are highly controlled by WB CR and IFC FP and documented. The list of users may be available upon request.

Information compiled for the purpose of the WBG GHG inventory will be maintained by WB CR and IFC FP. Both teams have file backup protection standard to the WBG’s data backup system.

CORPORATE REPORTING FREQUENCY

Facility data will be reported on an annual basis in time for annual inventory reporting, generally by the end of

the second quarter of the fiscal year.

BASE YEAR

The WBG completed its first global GHG inventory in FY07. The inventories in FY07 and FY08 were for learning and educational purposes—teaching country offices about carbon inventory data collection and identifying data gaps. The FY09 inventory was the first using a Web-based survey, and was also used as a learning experience.

The IFC has identified FY08 as their base year for reducing electricity use per workstation in their Washington, DC office.


28 | P a g e

The WB has set FY10 as the base year for reducing emissions from managed and owned offices by 10 percent by FY17. This target was met and exceeded, with the WB reducing facility-based absolute GHG emissions by 20 percent between FY10 and FY17. A new target is now under discussion.

ADJUSTMENTS TO BASE YEAR EMISSIONS – STRUCTURAL AND METHODOLOGY CHANGES

Structural changes include mergers, acquisitions, and divestments and/or outsourcing or in-sourcing of GHG emitting activities. Changes in the status of leased assets also are considered structural changes.

Methodology changes include changes in activity data accuracy, changes in emission factors, changes in electricity intensity or air travel intensity figures, and/or changes to the methodology used to calculate GHG emissions.

Discovery of significant errors in base year emissions calculations may necessitate a change in the base year emissions inventory. Significant structural or methodology changes in future years may necessitate an adjustment to the base year emissions to ensure that data are consistent and historically relevant.

A “Significance Threshold” requiring a change in the base year emissions would be a one percent change in the total corporate-wide GHG emission inventory over or under the previous calculation (if no change were made).

Changes Due to New Emission Factors

If there is a change to published emission factor(s), the emission factors will be changed for each of the previous years as well as the current year, provided they meet the one percent Significance Threshold. By changing the emission factors for each of the previous reporting years, the emission calculations remain historically consistent and relevant since the same factors are used throughout.

Changes Due to Errors

Arithmetic and data entry mistakes can occur while recording and reporting emissions data. If errors are identified during subsequent year inventory reporting that trigger the Significance Threshold, corrections to the previous inventories will be made.

Changes Due to Data Accuracy and Availability

If new data are available on source emissions that were not previously available or if new methodologies result in obtaining more accurate data on source emissions, an adjustment to previous year may be required. In such cases the Significance Threshold will be evaluated to determine if adjustments to the past years’ inventories are warranted.

MANAGEMENT TOOLS

ROLES AND RESPONSIBILITIES

Each WBG office is encouraged to have a chart to track roles and responsibilities (Table 10). This IMP contains detailed roles and responsibilities for Washington, DC. For contacts for our global offices, please contact the

WBG.

Table 10. Roles and Responsibilities for Data Reporting

Emission Source Location Department Responsible Persons Responsible

Electricity,

boilers, generators, refrigeration

Owned WB buildings GCSCR

John Moren, Project Manager, GCSCR

Rafa Abdalla, Customer Service Representative, GCSFM


29 | P a g e


Lead Engineer, Donohoe Facilities Services

Records are maintained in the following fashion:

All utility records from electricity and natural gas consumption from owned buildings are kept in two forms: paper and electronic (in the WB’s accounting system, SAP). The paper form is filed twice within GCS. The process for electricity bills and for natural gas and diesel purchases for boilers and generators is as follows:

Diesel purchases for generators are recorded by the generator servicing company, Griffiths, as well as the engineer of the building containing the generator that was refilled. Griffiths sends a paper invoice that is filed with GCSCR as a hard copy. The hard copy of the bill is maintained by the WB.

Refrigerant replacement and replenishment is recorded by the servicing company, Donohoe. Donohoe will submit an electronic report to the WB Contract Manager of each service instance with the quantity of refrigerant replaced or replenished. A hard copy of the report will be maintained by Donohoe in their WB office. The engineer for the building containing the chiller that was serviced will also maintain a copy of the file. The WB will maintain these records for three years as required by the EPA.

Electricity,

boilers, generators,

refrigeration

Leased WB buildings GCSCR

Alfonso Magsalin, Assistant Project Manager, GCSCR

Rafa Abdalla, Customer Service Representative, GCSFM

For leased buildings, records are maintained in the following fashion:

The WB, as a leased building tenant, does not have direct access to utility bills from our leased buildings. Landlords are contacted on an as needed basis (at least annually for purposes of the carbon inventory) to seek the information. In line with standard industry practice, the utility data is provided to the World Bank on

Invoice generated and sent to the World Bank

Invoice scanned and filed in SAP

Original invoice filed with GCS

Duplicate paper invoice filed with accounting

Data tracked in All Building Metrics1.xlsx


30 | P a g e


a prorated scale by square footage. This information is received by e-mail and retained indefinitely. In the absence of concrete data, estimations are made based on intensity rates (kWh/ft2).

Electricity,

boilers, generators, refrigeration

Owned IFC buildings CHRFM Christine Jones, Brandywine Realty Trust


All utility records from electricity and natural gas consumption from the IFC F building are kept in two forms: paper and electronic. The paper form is filed in the office of the IFC Chief Engineer, part of the Facilities Management team. The paper form is scanned, and electronic copies are stored in the shared network drive, and in the accounting software system, Avid, managed by Brandywine—IFC’s facilities management servicing company. On a monthly basis, the data is manually entered into spreadsheets organized by utility type (stored on IFC’s shared network drive) and then imported into one footprint summary spreadsheet (also stored on IFC’s shared network drive). All these records are kept indefinitely.

Refrigerant replacement and replenishment is recorded by the servicing company, Brandywine. Brandywine will submit an electronic report to the IFC Facilities Management team with the quantity of refrigerant replaced or replenished. A hard copy of the report will be maintained by Brandywine. The engineer for the building containing the chiller that was serviced will also maintain a copy of the file.

Mobile combustion sources

Owned WB vehicles

GCSCS

GCSMS

Cesar Banzon, Senior Customer Service Representative, GCSSC

Ngozi Kalu-Mba, Executive Assistant, GCSSC

Felipe Jr. Figueroa Cardenas, Customer Service Representative, GCSSC

Fuel usage records are maintained in the following fashion:


31 | P a g e


Fuel usage for vehicles is maintained and reported by individual units. For the majority of vehicles, which are owned by Security, the fuel usage is tracked as follows:

Business travel Travel booked through American Express and other agencies

GCSTV and ITS Ashish Gour, ITS; Touhid Mohammad Hanif, GCSTV


This data is recorded in SAP through Statement of Expense reports by staff and reported through Business Warehouse to CR for the inventory calculation.

Source: TK

TRAINING

The purpose of the WBG’s training procedure is to ensure that training that pertains to the World Bank’s CR Program, IFC’s Footprint Program, and to the GHG inventory is maintained. Each WBG office will outline their training procedure and update the IMP as necessary.

Headquarters Specific: USA

At the WBG Headquarters in Washington, DC the task of maintaining the inventory is limited to the WB’s CR and GCSCR and IFC FP; thus, currently, training will be targeted to the specific needs of individual CR and IFC FP staff and may entail the following:

▪ Attending relevant conferences

▪ Reviewing GHG Protocol guidance annually

▪ Attending various trainings with outside groups, such as the GHG Institute e-learning, U.S. Green Building Council, the EPA, and U.S. Department of Energy

Country Offices

For country office staff responsible for reporting emissions data through Credit360, resources such as video tutorials, templates for sending data requests to landlords, and other material have been created and are stored on the WBG intranet for use.

DOCUMENT RETENTION AND CONTROL POLICY

Washington, DC specific

See “Roles and Responsibilities” section for Washington, DC offices process.

Driver fills up vehicle with p-card

Driver notes mileage down on receipt

Driver gives receipt (which lists number of gallons and mileage) to the Customer Service Representative.

The Representative retains the p-card statement and receipts to fill in spreadsheet

GCS Resource Manager authorizes payment and maintains records for three years


32 | P a g e

AUDITING AND VERIFICATION

INTERNAL AUDITING

The WBG will conduct a desktop review of the corporate GHG inventory each year. Based on this review, any office triggering a Significance Threshold will in turn trigger the need for an internal verification review of that site.

EXTERNAL AUDITING

The WBG will periodically hire a third-party, outside reviewer of the IMP and the corporate GHG inventory.

Should an external audit be warranted, the WBG will contract a third-party audit. ERT-Winrock conducted a verification of the WBG FY07 inventory and IMP in FY08, while WSP Environment and Energy reviewed the FY09 Inventory and IMP in FY10, the FY11 Inventory and FY12 IMP, the FY13 inventory and IMP, and the FY16 Inventory and IMP. The most recent assurance statement is available online at http://www.worldbank.org/corporateresponsibility

IFC annually conducts an independent third-party audit of its GHG inventory and relevant FY data as part of IFC’s Annual Report audit

MANAGEMENT REVIEW

Annually, upon completion of the GHG inventory, the GHG inventory results will be presented to the Director of Global Corporate Solutions (GCS) for review.

CORRECTIVE ACTION

Corrective actions will be implemented at the direction of the WB CR and IFC FP in response to a desktop review and/or an internal or external audit identifying a Significance Threshold criteria item or other significant structural or methodological issue that warrants corrective action. Such corrective actions will be documented by changes to the IMP and/or the GHG Inventories. Changes to document, inventories, plans, and so forth are subject to the IMP Document Retention and Control Policy.

CORRECTIVE ACTIONS TRIGGERED SIGNIFICANCE THRESHOLD

During a desktop review of the FY17 GHG inventory that began in February 2018, several issues were identified and corrected within the CRedit360 system. This triggered a thorough audit of the data, calculations, and emission factors that was completed in May 2018. The issues and corrections impacted GHG inventories for FY10 – FY17, but there were no significant errors in base year (FY10) emissions. Some of these issues were very minor and did not trigger the Significance Threshold. However, several of the corrective actions did trigger the Significance Threshold; these issues, their corrective actions, and GHG inventory impacts are documented here. Changes due to new emission factors are considered methodology changes (see Base Year section above) - the updated emissions are listed below in Table 11, and also documented here.

Data Corrections

• Inflated reporting by a facility in FY16 resulted in a reduction in the FY16 reported refrigerant (and therefore Scope 1) emissions of 1,287 metric tons CO2e.

• Inaccurate data management reflected in two WB offices resulted in an increase of 548 metric tons of CO2e in FY15 reported data.

http://www.worldbank.org/corporateresponsibility


33 | P a g e

FY17 Air Travel GHG Emission Factor Correction:

Inaccurate long-distance air travel GHG emission factor had been used for FY17 data (caused by human error on data entry in Credit360). The correction resulted in an increase in business travel and scope 3 emissions of 2,610 metric tons CO2e for WB and 834 metric tons CO2e for IFC (3,444 metric tons CO2e total for WBG).

FY15 and FY16 Air Travel Emission Factor Changes:

An FY16 audit conducted by WSP advised that WBG update to the DEFRA 2015 air travel emission factors for FY15 business air travel data and DEFRA 2016 air travel emission factors for FY16 data. The air travel mileage did not change. This change did trigger the Significance Threshold. The updated FY15 and FY16 scope 3 emissions before and after these emission factor changes can be seen below in Table 11.

Table 11. GHG Emissions for FY10 through FY17

Note: Before (previously reported to CDP) and after methodology changes listed above

WBG GHG Scope Emissions in metric tons CO2e

FY10 FY15 FY16 FY17

Scope 1 (before) 8,010 11,346 11,202 n/a

Scope 1 (after) 7,984 11,261 9,749 10,551

Scope 2 (before) 75,387 60,253 57,893 n/a

Scope 2 (after) 74,224 59,305 56,535 55,156

Scope 3 (before) 124,617 134,313 142,115 123,871

Scope 3 (after) 120,142 116,483 119,156 126,851


34 | P a g e

APPENDIX A: STATIONARY EMISSION FACTORS

Stationary Emissions Factors

Fuel Type CO2

(kg/MMBtu)

CH4

(kg/MMBtu)

N2O

(kg/MMBtu) CO2eq Unit Heat Content

Natural Gas

52.9515 0.005275 0.0001055 53.1148 kg CO2eq/ MMBtu

988 Btu/ft3 HHV

5.31148 kg CO2eq/ therm

1.88953 kg CO2eq/m3

2.70 kg CO2eq/kg

Gas/Diesel Oil

78.1755 0.01055 0.00063 78.59 kg CO2eq/ MMBtu

0.136 MMBtu/gal HHV

2.6991 kg CO2eq/l

10.217 kg CO2eq/gal

Residual Fuel Oil (#5 & 6)

81.657 0.01055 0.00063 81.657 kg CO2eq/ MMBtu

0.143 MMBtu/gal HHV

Motor Gasoline

73.1115 0.01055 0.00063 73.529 kg CO2eq/ MMBtu

0.124 MMBtu/gal HHV

2.3272 kg CO2eq/l

LPG/Propane

66.57 0.005275 0.0001055 66.98828 kg CO2eq/ MMBtu

0.084 MMBtu/gal HHV

1.49979 kg CO2eq/ l

Kerosene

75.8545 0.01055 0.00063 76.27228 kg CO2eq/ MMBtu

0.132 MMBtu/gal HHV

2.46482 kg CO2eq/l

Source: WRI. Calculation Tool for Direct Emissions from Stationary Combustion. Calculation worksheets. December 2007. Version 3.1


35 | P a g e

APPENDIX B: REFRIGERANT EMISSIONS

Global Warming Potentials

GHG Type

GWP Source

CO2 1

Intergovernmental Panel on Climate Change, Fourth Assessment Report

http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml

CH4 25

N2O 298

SF6 22,800

PFC Type GWP Source

PFC-14 6,500

Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or Disposal of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. GWPs draw from Intergovernmental Panel on Climate Change, Fourth Assessment Report


PFC-116 9,200

PFC-218 7,000

PFC-3-1-10 7,000

PFC-c318 8,700

PFC-4-1-12 7,500

PFC-5-1-14 7,400


36 | P a g e

Refrigerants

HCFC Type GWP Source

R-11 4,750 Only used to measure supplemental emissions

GWPs drawn from Intergovernmental Panel on Climate Change, Fourth Assessment Report


R-22 1,810

HFC Type GWP Source

R-23 14,800

Calculating HFC and PFC Emissions from the Manufacturing, Servicing, and/or Disposal of Refrigeration and Air-Conditioning Equipment. Calculation Worksheets. Version 1.0. GWPs draw from Intergovernmental Panel on Climate Change, Fourth Assessment Report


R-41 116

R-123 77

R-125 3,500

R-134 1,120

R-134a 1,430

R-143 328

R-143a 4,470

R-152a 124

R-227ea 3,220

R-236fa 9,810

R-245ca 1,030

R-R407c 2,107

HFC-4310mee 1,640

R-404a 3,922

R-410a 2,088

R-227ea 3,220


37 | P a g e

Vehicle Refrigerant Charge Factors

Vehicle Type Charge Factor (kg)

Source

Passenger Car 0.8

EPA Refrigerant Guidance, 2004, Table 2 Light Truck 1.2

Aircraft 6.4

Cooling Factor

Region Ft2 per cooling ton

Source

USA 500 Cooling intensity for region per Dan Sobrinski, WSP Energy and Environment


38 | P a g e

APPENDIX C: MOBILE FUEL EMISSION FACTORS

CO2-equivalent Emission Factors

Fuel type CO2 Units Source

Gasoline 0.002327152 tCO2eq/l

WRI. CO2 Emissions from Business Travel. Version 2.0.

http://www.eia.doe.gov/oiaf/1605/techassist.html Gasoline 0.008809225 tCO2eq/gal

Diesel 0.002699055 tCO2eq/l

Diesel 0.010217028 tCO2eq/gal

LPG 0.001499790 tCO2eq/l

LPG 0.005677320 tCO2eq/gal

N2O, CH4 Emission Factors – Used for Country Offices

Fuel Type

CH4 N2O CH4 N2O

Vehicle Type

kg/gal kg/gal kg/l kg/l

Gasoline 0.00033075

0.00017775 0.00008737 0.0000469

Passenger Car - Gasoline - Year 2005-present

Diesel 0.000011 0.000022 2.90621E-06 5.81242E-06

Passenger Car - Diesel - Year 1983-present

LPG 0.0005994 0.0010854 0.000158 0.000286 Light Goods Vehicle – LPG

Source: GHG Protocol Stationary and Mobile Emission Factors, Table 7

Note: N2O, CH4 were calculated using average vehicle fuel economy. WB/IFC only has volume (gallons or liters) of fuel consumption and the CH4 and N2O factors are per distance (mi or km) traveled. As a result, a corporate average fuel economy was assumed to be 22 mpg.

Within-city emission factors used for calculating travel for major meetings

Mode of Transport kgC02/ passenger-mile

gCO2/ passenger-mile

gCH4/ passenger-mile

gN2O/ passenger-mile

gCO2-e /passenger mile

Car 0.3738261 373.83 0.0147 0.0079 376.5838

Light-duty Truck 0.519 519.00 0.036 0.047 534.326

Motorcycle 0.167 167.00 0.07 0.007 170.64

http://www.eia.doe.gov/oiaf/1605/techassist.html


39 | P a g e

Bus 0.107 107.00 0.0006 0.0005 107.1676

Intercity Rail 0.185 185.00 0.002 0.001 185.352

Commuter Rail 0.172 172.00 0.002 0.001 172.352

Transit Rail (Trams and Subways) 0.163 163.00 0.004 0.002 163.704

N2O, CH4 Emission Factors – Used in U.S. Only

Vehicle Type Fuel Type N2O CH4

Passenger Cars

Gasoline

g/mi g/mi

1984–1993 0.0647 0.0704

1994 0.056 0.0531

1995 0.0473 0.058

1996 0.0426 0.0272

1997 0.0422 0.0268

1998 0.0393 0.0249

1999 0.0337 0.0216

2000 0.0273 0.0178

2001 0.0158 0.011

2002 0.0153 0.0107

2003 0.0135 0.0114

2004 0.0083 0.0145

2005 0.0079 0.0147

Vans, Pickups, SUVs

Gasoline

g/mi g/mi

1987–1993 0.1035 0.0813

1994 0.0982 0.0646

1995 0.0908 0.0517

1996 0.0871 0.0452

1997 0.0871 0.0452


40 | P a g e



1998 0.0728 0.0391

1999 0.0564 0.0321

2000 0.0621 0.0346

2001 0.0164 0.0151

2002 0.0228 0.0178

2003 0.0114 0.0155

2004 0.0132 0.0152

2005 0.0101 0.0157

Heavy-duty Vehicles

Gasoline

g/mi g/mi

1985–1986 0.0515 0.409

1987 0.0849 0.3675

1988–1989 0.0933 0.3492

1990–1995 0.1142 0.3246

1996 0.168 0.1278

1997 0.1726 0.0924

1998 0.1693 0.0641

1999 0.1435 0.0578

2000 0.1092 0.0493

2001 0.1235 0.0528

2002 0.1307 0.0546

2003 0.124 0.0533

2004 0.0285 0.0341

2005 0.0177 0.0326

Other Non-highway g/gal g/gal

Small Utility Gasoline 0.22 0.5


41 | P a g e



Large Utility Diesel 0.26 0.58

Passenger Cars

Diesel

g/mi g/mi

1960–1982 0.0012 0.0006

1983–1995 0.001 0.0005

1996–2004 0.001 0.0005

Light Trucks g/mi g/mi

1960–1982 0.0017 0.0011

1983–1995 0.0014 0.0009

1996–2004 0.0015 0.001

Heavy-duty Vehicles g/mi g/mi

1960–1982 0.0048 0.0051

1983–1995 0.0048 0.0051

1996–2004 0.0048 0.0051

Source: EPA Climate Leaders. "Direct Emissions From Mobile Combustion Sources.” May 2008


42 | P a g e

APPENDIX D: PURCHASED ELECTRICITY EMISSIONS FACTORS

CO2 Emission Factors from Year 2011 factors from table "CO2 Emissions from CO2 emissions per kWh from electricity generation", page 110, an excerpt from the IEA document "CO2 Emissions from Fuel Combustion - Highlights (2013 Edition)", IEA, Paris. See http://www.iea.org/co2highlights/.

CH4/N2O: International Electricity Emission Factors by Country, 1999-2002.xls. International Energy Agency, as cited by EIA for 1605b. http://www.eia.doe.gov/oiaf/1605/emission_factors.html

Region lb CO2 / MWh

lb CH4 / MWh

lb N2O/ MWh

Source Notes

Albania 15 0.006 0.001

Algeria 1,226 0.033 0.004

Angola 860 0.030 0.006

Argentina 860 0.013 0.002

Armenia 271 0.021 0.002

Australia - New South Wales 1,830 0.022 0.028

Australia: 'Latest Estimate' factors from Source: National Greenhouse Gas Accounts (NGA) Factors, July, 2017. "Table 41: Scope 2 and 3 emissions factors - consumption of purchased electricity by end users--EF for Scope 2 (column A)" - New South Wales

Austria 474 0.008 0.005

Azerbaijan 1,003 0.087 0.016

Bangladesh 1,243 0.052 0.006

Belarus 972 0.054 0.007

Belgium 432 0.009 0.006

Benin 1,592 0.022 0.021

Bolivia 955 0.016 0.003

Bosnia-Herzegovina 2,147 0.024 0.034

Botswana 3,940 0.022 0.021


43 | P a g e

Brazil 180 0.006 0.002

CO2 Emission Factors for uses that need Brazil’s National Interconnected System’s average emission factor, such as corporate inventories - Arquivos dos Fatores de Emissão: http://www.mctic.g ov.br/mctic/openc ms/ciencia/SEPED/ clima/textogeral/ emissao_corporati vos.html (Year 2016 Annual Average Factor)

Bulgaria 1,303 0.024 0.030

Cambodia 1,748 0.049 0.015

Cameroon 441 0.002 0.000

China 1,684 0.032 0.041

Colombia 238 0.006 0.004

Côte d'Ivoire 963 0.022 0.002

Croatia 736 0.029 0.029

Democratic Republic of Congo 7 0.000 0.000

Dominican Republic 1,638 0.098 0.023

Ecuador 761 0.034 0.007

Egypt 1,008 0.030 0.004

El Salvador 536 0.039 0.008

Eritrea 1,872 0.085 0.017

Ethiopia 15 0.001 0.000

France 134 0.003 0.002

Gabon 833 0.022 0.004

Georgia 225 0.009 0.001

Germany 1,052 0.014 0.017

Ghana 474 0.015 0.003

Guatemala 631 0.046 0.013

Haiti 842 0.075 0.015

Honduras 818 0.037 0.007

India 1,887 0.037 0.043

Indonesia 1,664 0.045 0.019

Iran 1,274 0.041 0.006

Iraq 1,991 0.084 0.017

Italy 886 0.039 0.011

Jamaica 1,367 0.082 0.016

Japan 1,096 0.019 0.010

Jordan 1,404 0.084 0.017

Kazakhstan 950 0.042 0.047


44 | P a g e

Kenya 648 0.030 0.006

Kosovo 2,445 0.015 0.011

Kuwait 1,735 0.073 0.014

Kyrgyz Republic 99 0.005 0.004

Lebanon 1,559 0.088 0.018

Macedonia 1,788 0.040 0.054

Maldives 1,587 0.037 0.043

http://noonumeem u.blogspot.com/2 012/06/grid- emission-factors-gef -in-maldives.html

Mexico 992 0.037 0.005

Moldova 1,071 0.029 0.029

Mongolia 1,845 0.049 0.015

Montenegro 1,440 0.028 0.040

Morocco 1,607 0.041 0.032

Mozambique 2 0.022 0.021

Nepal 2 0.002 0.000

Nicaragua 1,038 0.093 0.019

Nigeria 955 0.032 0.004

Pakistan 902 0.070 0.012

Panama 787 0.036 0.007

Paraguay 0 0.000 0.000

Peru 655 0.012 0.003

Philippines 1,085 0.034 0.017

Poland 1,720 0.024 0.034

Republic of Congo 507 0.022 0.021

Romania 1,100 0.032 0.025

Russian Federation 963 0.030 0.015

Rwanda 1,162 0.021 0.016

Saudi Arabia 1,662 0.059 0.011

Senegal 1,519 0.084 0.017

Serbia-Montenegro 1,728 0.028 0.040

Singapore 1,102 0.088 0.016

Slovak Republic 441 0.008 0.007

South Africa 1,916 0.024 0.036

Sri Lanka 1,034 0.060 0.012

Sudan 450 0.043 0.009

Switzerland 66 0.001 0.000

Tajikistan 26 0.001 0.000

Tanzania 635 0.006 0.002

Thailand 1,151 0.043 0.011

Togo 454 0.022 0.021

Trinidad and Tobago 1,116 0.018 0.002

Tunisia 1,003 0.035 0.004

Turkey 1,041 0.025 0.014

Turkmenistan 2,167 0.043 0.004

Uganda 635 0.006 0.002

Ukraine 992 0.023 0.022


45 | P a g e

United Arab Emirates 1,323 0.027 0.003

United Kingdom 848 0.000 0.000

UK: 2017 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting. Year 2016 Factors, For Electricity Generated PLUS Transmission and Distribution (CO2e only)

https://www.gov.uk/ government/uplo ads/system/upload s/attachment_data/ file/635632/Conv ersion_factors_2017 _-_Condensed_set__ for_most_users__ v02-00.xls

United States - New York 635.8 0.022 0.003 eGRID2016 Subregion Total Output Emission Rates (Released 2/15/2018)

Subregion NYCW

United States - District of Columbia 758.2 0.050 0.009

Subregion RFCE

United States - Maryland 758.2 0.050 0.009 Subregion RFCE

United States - Pennsylvania 758.2 0.050 0.009 Subregion RFCE

United States - Virginia 805.3 0.067 0.011 Subregion SRVC

Uruguay 434 0.006 0.001

Uzbekistan 1,232 0.044 0.008

Venezuela 516 0.014 0.002

Vietnam 946 0.029 0.009

Yemen 1,396 0.114 0.023

Zambia 7 0.000 0.000

Zimbabwe 789 0.022 0.021

Afghanistan 1,486 0.030 0.023 CO2 Emission Factors from Year 2011 factors from table "CO2 Emissions from CO2 emissions per kWh from electricity generation", page 110, an excerpt from the IEA document "CO2 Emissions from Fuel Combustion - Highlights (2013 Edition)", IEA, Paris. See http://www.iea.org/ co2highlights/. Category used in table found in column to the right. N2O and CH4 factors calculated by taking US

Middle East Average

Bhutan 694 0.012 0.009 Other Asia

Burkina Faso 1,162 0.021 0.016 Other Africa

Burundi 1,162 0.021 0.016 Other Africa

Central African Republic 1,162 0.021 0.016 Other Africa

Chad 1,162 0.021 0.016 Other Africa

Gambia, The 1,162 0.021 0.016

Other Africa

Guinea 1,162 0.021 0.016 Other Africa

Guinea-Bissau 1,162 0.021 0.016 Other Africa

Guyana 626 0.011 0.008

Other non-OECD Americas

Kiribati 694 0.012 0.009 Other Asia

Lao P.D.R. 694 0.012 0.009 Other Asia

Lesotho 1,162 0.021 0.016 Other Africa

Liberia 1,162 0.021 0.016 Other Africa

Madagascar 1,162 0.021 0.016 Other Africa

Malawi 1,162 0.021 0.016 Other Africa


46 | P a g e

Mali 1,162 0.021 0.016 Average from Egrid2012 V 1.0, May 2012 ratio of CH4 and N2O emission factor to CO2 (See cells A30:C32), then multiplying ratios by CO2 emission factor for each respective GHG.

Other Africa

Mauritania 1,162 0.021 0.016 Other Africa

Mauritius 1,162 0.021 0.016

Other Africa

Niger 1,162 0.021 0.016 Other Africa

Papua New Guinea 694 0.045 0.019 Other Asia

Samoa 694 0.012 0.009 Other Asia

Sierra Leone 1,162 0.021 0.016 Other Africa

Solomon Islands 694 0.012 0.009 Other Asia

South Sudan 450 0.043 0.009 Sudan

Timor Leste 694 0.012 0.009 Other Asia

Vanuatu 694 0.012 0.009 Other Asia

West Bank and Gaza 1,603 0.030 0.023 Israel

APPENDIX E: AIR TRAVEL EMISSIONS FACTORS

Trip Type Flight Length† kgCO2eq / passenger-mile

Source

Air Travel Emission Factors


47 | P a g e

Short Haul

<300 miles 0.237 Source: 2016 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting.

https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2016

Medium Haul

300–2,300 miles 0.143

Long Haul >2,300 miles 0.163

Unknown Distance

N/A 0.159 Total kg of emissions from known distance flights divided by total passenger-miles from known flights

†Flight length determined from UK Defra “Guidelines to Defra/DECC’s GHG Conversion Factors for Company Reporting” Updated June, 2010. See Annex 6 “Passenger Transport Conversion Tables”, footnote 14. https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2016

APPENDIX F: WORLD BANK GROUP FY 17 MASTER LOCATION LIST

IFC CLA (Latin America & the Caribbean)

Argentina Buenos Aires Edificio Bouchard Plaza, Bouchard 557, 11th. Floor


Bolivia La Paz Fernando Guachalla, No. 342, Piso 8, Edificio Victor


Brazil Rio De Janeiro Rua Redentor, 14, Ipanema

IFC CLA (Latin

America & the Caribbean)

Brazil Sao Paulo Edificio Torre Sul - , Rua James Joule No. 65 -

17th, 18th and 19th floors - Cidade Monções -


Colombia Bogota Cra. 7 No. 71-21 Torre A Piso 14


Dominican Republic

Santo Domingo

Ave. Lope de Vega #29,Torre Novocentro, 10th Floor, Ensanche Naco


48 | P a g e


El Salvador San Salvador Edificio Torre Futura 90 nivel, Locales 904-905, Calle El Mirador y 87 Avenida Norte, Col. Escalon


Guatemala Guatemala City

13 Calle 3-40 zona 10 Edificio Atlantis Niv. 14


Haiti Port-au-Prince 7, Rue Ogé, Pétion-Ville


Honduras Tegucigalpa Centro Financiero UNO, 4 Piso, Boulevard San Juan Bosco, Colonial Payagui, Apartado Postal 3591


Jamaica Kingston Courtleigh Corporate Centre, 6 St. Lucia Avenue, 3rd Floor


Mexico Mexico City Paseo de La reforma 483, Cuahautemoc, 18th floor, Mexico City, DF 06500


Nicaragua Managua Plaza Santo Domingo, Km. 6.5 Carretera a Masaya Edificio COBIRSA 2, 5to Piso


Panama City Panama N° 2105, NIVEL 2100, Building PH Ocean Business Plaza, Calle Aquilino de la Guardia and Calle 47, Urbanización Marbella


Peru Lima Av. Miguel Dasso 104 - Piso 5, San Isidro


Trinidad and Tobago

Port of Spain 6th floor, Newtown Centre, 30-36 Maraval Road, newtown

IFC CAF (Sub-Saharan Africa)

Burkina Faso Ouagadougou Banque Mondiale Burkina Faso, 01 BP: 622 Ouagadougou 01

IFC CAF (Sub-

Saharan Africa)

Cameroon Douala 96 Rue Flatters, Suite 305


Chad N'Djamena Intersection de la rue Hamit Hangata & Avenue Idriss Miskine, Quarter Biguinage


Côte d'Ivoire Abidjan Immeuble Banque Mondiale, Cocody, Angle des rues Jacques Aka et Booker Washington, 01 BP 1850 Abidjan01


49 | P a g e


Democratic Republic of Congo

Kinshasa 4847. Avenue Wagenia


Ethiopia Addis Ababa Addis Ababa, Africa Avenue, Bole Road PO Box 5515


Ghana Accra No. 3, Independence Avenue, Accra


Guinea Conakry Immueble de L'Archeveche, Face Baie des Anges


Kenya Nairobi Delta Center, Menengai Road, Upper Hill, PO Box 30557-0010


Liberia Monrovia The Villa Sangai, Sophie Community, Congo Town, Tubman Blvd.


Madagascar Antananarivo Anosy, Rue Andriamifidy L. Razafimanantsoa


Mali Bamako Boite Postale 1864


Mozambique Maputo Jose Craveirinha Street # 160, Caixa Postal 4053


Nigeria Lagos Maersk House, Plot 121, Louis Solomon Close, Victoria Island


Rwanda Kigali Immeuble Soras, Boulevard de la Revolution, Parcelle no 4522

IFC CAF (Sub-

Saharan Africa)

Senegal Dakar Bureau regional IFC Dakar Rue Aimé Césaire

x Impasse FN 18 prolongee Fann Residence


Sierra Leone Freetown Bishop Building, 1st Floor, 13 Lamina Sankoh Street


South Africa Johannesburg No. 14 Fricker Road, Illovo Boulevard, Illovo, 2196


50 | P a g e


South Africa Johannesburg No. 4 Fricker Road, Illovo Boulevard, Illovo, 2196


South Sudan Juba The World Bank Office, Government's Ministry Complex, Kololo Road


Tanzania Dar-es-Saleem

50 Mirambo Street


Uganda Kampala 1 Lumumba Ave, & 4,Nakasero Rd


Zambia Lusaka Pyramid Plaza Building, Plot 746 Church Road, 2nd Floor

IFC CEA (East Asia & the Pacific)

Australia Sydney Level 18, CML Building, 14 Martin Place


Cambodia Phnom Penh Phnom Phen Tower, #445 Monivong Blvd and Corner with Street 232. Boeung Pralet Quarter 7 Makara District, Phnom Phen, Cambodia


China Beijing 1501, China World Tower 2, No. 1, Jian Guo Men Wai Ave.


China Hong Kong 14-F, One Pacific Place, 88 Queensway, Admiralty


Indonesia Jakarta Jakarta Stock Exchange Building Tower 2, 9th floor Jl. Jend. Sudirman Kav 52-53


Lao P.D.R. Vientiane Xieng Ngeum Village, Chao Fa Ngum Road


Mongolia Ulaanbaatar MCS Plaza Building, 4th floor, Seoul Street


Myanmar Yangon 57 Pyay Road, Hlaing Township


Papua New Guinea

Port Moresby Level 13, Deloitte Tower, Douglas Street


Philippines Manila 2301 & 2201 One Global Place, 5th Avenue - Corner 25th Street, Bonifacio Global City


Singapore Singapore World Bank Office 10 Marina boulevard Marina Bay Financial Center, Tower 2 #34 -02, Postcode 018389,


51 | P a g e


Solomon Islands

Honiara Mud Alley (IFC)


Thailand Bangkok 28th and 30th Floor, Siam Tower, 989 Rama 1 Road, Pathumwan


Timor Leste Dili Rua Dos Direitos Humanos


Vanuatu Port Vila IFC Vanuatu Office, Level 4, Reserve Bank of Vanuatu Building, C/O Asian Development Bank, PO Box 3221


Vietnam Hanoi 3rd Floor, 63 Ly Thai To Street


Vietnam Ho Chi Minh City

Mekong Project Development Facility (MPDF) Unit 3B, 3rd Floor, Regency Chancellor Court, 21-23 Nguyen Thi Minh Khai Street, District 1

IFC CEU (Central & Eastern Europe)

Albania Tirana Advisory Services (PSD), Deshmoret e 4 Shkurtit, Sky Tower 8-1


Albania Tirana Deshmoret e 4 Shkurit, No. 34


Armenia Yerevan 9, G.Louisavorich Street


Azerbaijan Baku 90A Nizami street, The Landmark III Business Center, 3rd Floor


Belarus Minsk 4th floor, 6a, Partizansky Prospekt


Bosnia-Herzegovina

Sarajevo IFC, Zmaja od Bosne bb (RBBH-Building B/III)


Bulgaria Sofia World Trade Center 36, 36 Dragan Tsankov Blvd.


Croatia Zagreb Radnicka cesta , 9th Floor, HR-100000

IFC CEU (Central &

Eastern Europe) Georgia Tbilisi 5B, Nino Ramishvili Street


Kazakhstan Almaty 41-A Kazybek Bi street, 1st and 3d Floor


Kosovo Pristina Str. Muje Ulqinaku, Nr. 3, 10.000


Kyrgyz Republic

Bishkek 21, Erkindik Boulevard


52 | P a g e


Macedonia Skopje Vojvoda Vasil Adzilarski, b.b.; Business Center Soravia III Floor


Moldova Chisinau 20-1, Pushkin St (IFC)


Poland Warsaw 53 Emilii Plater Street, 9th Floor


Romania Bucharest 31, Vasile Lascar Str.


Russian Federation

Moscow 36 Bolshaya Molchanovka Street, Bld. 1, 3rd Floor


Serbia-Montenegro

Belgrade st:Bulevar kralja Aleksandra 86-90, 3rd and 4th floor


Tajikistan Dushanbe Ayni Street #48, 3rd floor (IFC)


Turkey Istanbul Buyukdere Cad. No: 185, Kanyon Ofis Blogu Kat 19, Levent


Ukraine Kiev 1 Dniprovskyj Uzviz, 3rd floor Kyiv 01010


Uzbekistan Tashkent PEP, 107 B Amir Timur Street, 14th and 15th Floor

IFC CME (Middle East & North Africa)

Afghanistan Kabul The World Bank, Street no. 15, House No. 19, Opposite Palace # 8, Waxir Akbar Khan


Egypt Cairo PEP-MENA, Nile City Towers North Tower, 24th Floor & 25th Floor, 2005C, Corniche El Nil, Ramlet Boulac


Iraq Baghdad World Bank Iraq, British Embassy Premises


Jordan Amman Ahmed Orabi Street, Building 38, Shimeisani, P.O. Box 930375


Lebanon Beirut Marfaa 119, Abdallah Bayhum Street, Bourie House Building, P O Box 11 - 8577


Morocco Rabat 7, rue Larbi Ben Abdellah


53 | P a g e


Pakistan Islamabad 20-A, Shahrah-e-Jamhuriat, Ramna 5 (G-5-1)


Pakistan Islamabad IFC Serena Business Complex


Pakistan Karachi 6th Floor, Bahria Complex-III, M.T. Khan Road, Karachi


Saudi Arabia Riyadh Diplomatic Quarter, United Nations Building, P.O. Box 5900


Tunisia Tunis Immeuble Le Boulevard 3eme etage - Blocs A, B et C Les Berges du Lac II Tunis 1053


United Arab Emirates

Dubai Level 5 & 10, West side, The Gate, D.I.F.C


West Bank and Gaza

Jerusalem PEP-MENA, P.O. Box 54842, West Bank & Gaza, Dahiet Al Barid, Near Rosary Sisters Convent, Jerusalem


Yemen Sanaa Off Beirut Street, Behind Sosowa Petrol Station

IFC CSA (South Asia)

Bangladesh Dhaka United House, 10 Gulshan Avenue, Gulshan 1


Bhutan Thimphu Lower Nozir Lam, BDFC Building,Norzam Lam,Chubabu


India Chennai No: 11, Taramani Main Road, Taramani


India Mumbai Vibgyor Towers, 2nd and 6th Floor, G Block, C-62 Bandra Kurla Complex, Bandra East, Mumbai 400 051


India New Delhi Maruti Suzuki Building, 3 & 4th floor, Plot No. 1 Nelson Mandela Road, Vasant Kunj


Nepal Kathmandu Yak and Yeti Complex , Durbar Marg


Sri Lanka Colombo 15th Floor, DHPL Building, 42 Navam Mawatha


54 | P a g e

IFC Part 1 Countries

Austria Vienna IFC CO - Investment Climate Dept, Galaxy 21, Praterstrasse 31- Flr 18, A-1020 The World Bank Group,


Belgium Brussels Avenue Marnix, 17


France Paris 66, avenue d'Iéna


Germany Frankfurt Bockenheimer Landstrasse 43


Japan Tokyo 10th Floor, Fokoku Seimei Building, 2-2-2 Uchisaiwai-cho, Chiyoda-Ku


United Kingdom

London 12th Floor Millbank Tower, 21-24 Millbank

IFC United States United States District of Columbia

2121 Pennsylvania Avenue, NW, Washington

WB AFR Angola Luanda No. 23-25, Maculusso

WB AFR Benin Cotonou Route de l'Aeroport, Avenue Jean-Paul II Face Hotel Marina ex-Sheraton

WB AFR Botswana Gaborone Time Square, Plot 134, Independence Ave

WB AFR Burkina Faso Ouagadougou 179, Avenue du President Saye Zerbo

WB AFR Burundi Bujumbura Avenue de l'Aviation, Rohero 1 (IBRD)

WB AFR Cameroon Yaoundé Nouvelle Route Bastos rue 1.767

WB AFR

Central African Republic Bangui rue des Missions

WB AFR Chad N'Djamena Intersection de la rue Hamit Hangata & Avenue Idriss Miskine, Quarter Biguinage

WB AFR Côte d'Ivoire Abidjan Cocody - Angle des rues Booker Washington and Jacques Aka

WB AFR

Democratic Republic of Congo Kinshasa 49, Boulevard Tshatshi, Kinshasa-Gombe

WB AFR Ethiopia Addis Ababa Africa Avenue (Bole Road) Wello Sefer Kirkos Sub City Wereda 02 House No. 676

WB AFR Gabon Libreville Centre ville – Angle des rues Madame Pecqueur/Avenue Marquis de Compiègne et


55 | P a g e

Boulevard de l’Indépendance, parcelle 156, BP. 4027

WB AFR Gambia, The Banjul c-o UN House, Koffi Annan Street, Cape Point

WB AFR Ghana Accra Independence Avenue, 10th Street,Plot no. 3, Ridge

WB AFR Guinea Conakry Immeuble de l'Archeveche, Face Baie des Anges

WB AFR Guinea-Bissau Bissau

Av. Francisco Mendes, C.P 214, Bissau Codex 1124

WB AFR Kenya Nairobi Delta Center Building Menengai Road, Upper Hill.

WB AFR Lesotho Maseru UN House, 13 United Nations Road

WB AFR Liberia Monrovia German Embassy Compound, Congo Town

WB AFR Madagascar Antananarivo Rue Andriamifidy L. Razafimanantsoa, Anosy

WB AFR Malawi Lilongwe Mulanje House, Plot 13-57 Off Presidential Way, City Centre

WB AFR Mali Bamako AVENUE DU MALI, IMMEUBLE WALY DIAWARA; HAMDALLAYE ACI -2000

WB AFR Mauritania Nouakchott Lot N. 02 F Nord Liaison Ksar

WB AFR Mauritius Port-Louis 3rd Floor Médine Mews, Chaussee Street

WB AFR Mozambique Maputo Avenue Kenneth Kaunda, 1224

WB AFR Niger Niamey 187, rue des Dallols

WB AFR Nigeria Abuja 102, Yakubu Gowon Crescent, Asokoro District

WB AFR Republic of Congo Brazzaville

Immeuble BDEAC, 2è étage, Boulevard Denis Sassou Nguesso

WB AFR Rwanda Kigali Blvd. de la Revolution, SORAS building

WB AFR Senegal Dakar Corniche Ouest X, David Diop

WB AFR Sierra Leone Freetown Africanus House, 13A Howe Street

WB AFR South Africa Pretoria 442 Rodericks Road, Corner Lynnwood and Rodericks Roads

WB AFR South Sudan Juba Ministry Complex, Kololo Road, Adjacent to Ministry of Health

WB AFR Sudan Khartoum Plot 39, Street 39, Khartoum East (II)


56 | P a g e

WB AFR Tanzania Dar-es-Salaam 50 Mirambo St (WB)

WB AFR Togo Lomé Cite de l'OUA (entre la Residence Ambassadeur du Ghana et la Primature)

WB AFR Uganda Kampala Plot 1, Lumumba Ave, Rwenzori House, 1st, 4th, 5th, and 6th floors

WB AFR Zambia Lusaka BancABC, 746B, Church Road, Cathedral Hill, Lusaka

WB AFR Zimbabwe Harare Block 3, Arundel Business Park 107 Norfolk Road, Mount Pleasant

WB EAP Australia Sydney Level 16 and 19, 14 Martin Place, CML Building

WB EAP Cambodia Phnom Penh 113 Norodom Boulevard

WB EAP China Beijing 16th Floor, China World Tower 2

WB EAP Indonesia Jakarta Indonesia Stock Exchange Bldg, Tower 2, 12th Floor

WB EAP Kirabati Tarawa c-o KAP House, Bairiki, Tarawa PO Box 13

WB EAP Korea, Republic of Incheon

37F, POSCO E and C Tower 2,241, Incheon tower-daero,Yeonsu-gu

WB EAP Lao P.D.R. Vientiane Xieng Ngeun Village, Chanthabouly District

WB EAP Malaysia Kuala Lumpur Level 3, Sasana Kijang,No. 2, Jalan Dato' Onn

WB EAP Mongolia Ulaanbaatar 5th Floor, MCS Plaza Building, Seoul Street-4

WB EAP Myanmar Yangon No.57, Pyay Road, Corner of Shwe Hinthar Street 6 ½ miles, Hlaing Township

WB EAP Papua New Guinea Port Moresby Level 13, Deloitte Tower, P.O. Box 1877

WB EAP Philippines Manila 26th Floor, One Global Place, 5th Avenue corner 25th street

WB EAP Samoa Apia Level 6, Central Bank Building, Beach Road

WB EAP Singapore Singapore 10 Marina Boulevard, Marina Bay Financial Center, Tower 2, #34-02

WB EAP Solomon Islands Honiara Mud Alley

WB EAP Thailand Bangkok 30th Floor, Siam Tower, 989 Rama 1 Road


57 | P a g e

WB EAP Timor-Leste Dili Avenida Dos Direitos Humanos

WB EAP Vanuatu Port Vila The World Bank Group & ADB Level 5, Reserve Bank Building

WB EAP Vietnam Hanoi 63 Ly Thai To, 8th Floor

WB ECA Albania Tirana Ibrahim Rugova Street, Vila No 34,

WB ECA Armenia Yerevan 9 Grigor Lusavorich Street, 6th Floor

WB ECA Austria Vienna Praterstrasse 31 - 19th-21st Floors

WB ECA Azerbaijan Baku 90A Nizami street, The Landmark III Business Center, 5th Floor

WB ECA Belarus Minsk 2A Gertsen Street, 2nd Floor

WB ECA Bosnia-Herzegovina Sarajevo UNITIC Tower B, Fra Andjela Zvizdovica 1

WB ECA Bulgaria Sofia 36 Dragon Tsankov Blvd. Block A, 5th Floor

WB ECA Croatia Zagreb Radnicka cesta 80-IX

WB ECA Georgia Tbilisi 5A, Nino Ramishvili Street

WB ECA Kazakhstan Almaty 41-A Kazybek bi Street, 4th Floor

WB ECA Kazakhstan Astana 12 Samal Microdistrict, 14th Floor

WB ECA Kosovo Pristina Rruga Prishtinë Fushë-Kosovë

WB ECA Kyrgyz Republic Bishkek 214, Moskovskaya Str.

WB ECA Macedonia Skopje 34 Aminti Treti Street

WB ECA Moldova Chisinau 20-1, Pushkin St

WB ECA Montenegro Podgorica Bul. Sv. Petra Cetinjskog br.

WB ECA Poland Warsaw 53, Emilii Plater St, Warsaw Financial Center, 9th Floor

WB ECA Romania Bucharest U T I Building, 6th Floor, 31 Vasile Lascar str.

WB ECA Russian Federation Moscow Bolshaya Molchanovka 36-1

WB ECA Serbia Belgrade Bulevar Kralja Aleksandra 86-90

WB ECA Tajikistan Dushanbe 48 Aini Str. Business Center "Sozidanie", block A, 3rd Floor


58 | P a g e

WB ECA Turkey Ankara Ugur Mumcu Caddesi No. 88, Kat: 2

WB ECA Turkmenistan Ashgabat Yimpash Business Center, Office 803, Turkmenbashi Avenue, 54

WB ECA Ukraine Kiev 1, Dniprovsky Uzviz

WB ECA Uzbekistan Tashkent 107 B, Amir Timur str.

WB LAC Argentina Buenos Aires Bouchard 547, 28th and 29th Floors

WB LAC Bolivia La Paz Edificio Victor, piso 9, Calle Fernando Guachalla #342 - Sopocachi

WB LAC Brazil Brasilia

Setor Comercial Norte Quadra 02, Lote A-

Edificio

WB LAC Colombia Bogota Carrera 7 No.71-21, Torre A, piso 16

WB LAC Dominican Republic

Santo Domingo

Avda. Lope de Vega #29 Torre Novo Centro, piso 10

WB LAC Ecuador Quito Calle 12 de Octubre 1830 y Cordero

WB LAC El Salvador San Salvador Edificio Torre Futura Nivel 9, oficinas 904-905, Colonia Escalon

WB LAC Guatemala Guatemala City

13 Calle 3-40, Zona 10, Edificio Atlantis, Piso 14

WB LAC Guyana Georgetown 87 Carmichael Street, South Cummingsburg

WB LAC Haiti Port-au-Prince 7, rue Oge

WB LAC Honduras Tegucigalpa Edificio Corporativo 777, 9 Piso, Lomas del Guijarro Sur, Boulevard San Juan Bosco

WB LAC Jamaica Kingston Courtleigh Corporate Centre, 3rd Floor, 6 St. Lucia Avenue, Kingston 5

WB LAC Mexico Mexico Insurgentes Sur 1605, Piso 24

WB LAC Nicaragua Managua Edificio Cobirsa 5to Piso, Km 6.5 Carretera a Masaya

WB LAC Panama Panama Avenida Aquilino De La Guardia y Calle 47

WB LAC Paraguay Asuncion Espana 2028 c- Braslia Urano Building, 5th Floor

WB LAC Peru Lima Avenida Alvarez Calderon 185, Piso 7, SanIsidro

WB LAC Uruguay Montevideo Calle Buenos Aires 570, Piso 3


59 | P a g e

WB MNA Algeria Algiers 5 bis, Chemin Mackley, Ben Aknoun 16306

WB MNA Djibouti Djibouti Lot 155, Extension Heron

WB MNA Egypt Cairo 1191 Corniche El-Nil, 15th Floor, Boulaq

WB MNA Iraq Baghdad International Zone, British Embassy premises

WB MNA Kuwait Safar Al Shuhada Street.,Al Hamra Business Tower,,Floor 32.

WB MNA Lebanon Beirut Abdallah Bayhum Str., Bourie Bldg, N 119, Marfaa - Downtown

WB MNA Morocco Rabat-Souissi 7 - Rue Larbi Ben Abdellah

WB MNA Saudi Arabia Riyadh 1st Floor, UNDP Building, Diplomatic Quarter

WB MNA Tunisia Tunis Immeuble Zahrabed, Jardins du Lac

WB MNA United Arab Emirates

Dubai Level 5 & 10, West side, The Gate, D.I.F.C (IBRD)

WB MNA West Bank and Gaza Jerusalem Al Dahieh, Beit Hanina

WB MNA Yemen Sana’a East Faj Attan Area, Beriut Street

WB Other Belgium Brussels Avenue Marnix 17, 2nd floor

WB Other France Paris 66 avenue d'Iena

WB Other Germany Berlin Reichpietschufer 20

WB Other India Chennai No: 11, Taramani Main Road, Taramani

WB Other India Chennai Block C, 11th Floor, SP Infocity , Kandanchavadi

WB Other India Chennai Unit 601, Block 4B, RMZ Millenia Business Park Kandhanchavadi

WB Other India Chennai Unit 602B, Block 4B, RMZ Millenia Business Park Kandhanchavadi

WB Other Italy Rome Via Labicana 110

WB Other Japan Tokyo 10th Floor, Fukoku Seimei Building, 2-2-2 Uchisaiwai-cho, Chiyoda-ku

WB Other Switzerland Geneva 3, chemin Louis-Dunant, Case Postale 66

WB Other United Kingdom London 12th Floor, Millbank Tower, 21-24, Millbank


60 | P a g e

WB SAR Afghanistan Kabul Street No. 15, House No. 19, opposite Palace #8

WB SAR Afghanistan Kabul Office Building B - House # 141, Street # 12, Wazir Akbar Khan

WB SAR Afghanistan Kabul Office Building C House # 140, Street # 12, Wazir Akbar Khan

WB SAR Afghanistan Kabul Office Building D & E House # 139 Street # 12, Wazir Akbar Khan

WB SAR Bangladesh Dhaka Plot E-32, Agargaon, Sher-e-Bangla Nagar

WB SAR Bhutan Thimphu

Lower Nozir Lam, BDFC Building,Norzam

Lam,Chubabu

WB SAR India New Delhi 70 Lodhi Estate

WB SAR India New Delhi The Hindustan Times House, 18-20 Kasturba Gandhi Marg, New Delhi 11000

WB SAR Maldives Male 9th Floor, Edhuruhiya Building, Falhumathee Magu,

WB SAR Nepal Kathmandu Yak & Yeti Hotel Complex, Durbar Marg

WB SAR Pakistan Islamabad 20 A Shahrah-e-Jamhuriyat, Ramna 5

WB SAR Pakistan Islamabad WB Serena Business Complex

WB SAR Sri Lanka Colombo 1st Floor, DFCC Building, 73-5 Galle Road

WB United States United States District of Columbia G -1776 G St NW

WB United States United States District of Columbia U - 1800 G St NW

WB United States United States District of Columbia

M - 1900 Pennsylvania Ave NW (IMF - 9th Floor)

WB United States United States District of Columbia I - 1850 I St NW

WB United States United States District of Columbia J - 701 18th St NW

WB United States United States District of Columbia C - 1225 Connecticut Ave NW

WB United States United States District of Columbia MC - 1818 H St NW


61 | P a g e

WB United States United States District of Columbia International Square - 1825 I St NW

WB United States United States District of Columbia N - 1899 Pennsylvania Ave NW

WB United States United States Landover, Maryland LSC - 3301 Pennsy Dr

WB United States United States New York, New York

1 Dag Hammarskjold Plaza, 885 2nd Avenue, 26th Floor

WB United States United States Boyers, Pennsylvania Archives - near Pittsburgh

WB United States United States Chantilly, Virginia BCC - Chantilly

WB United States United States Sterling, Virginia Warehouse - Sterling


62 | P a g e

APPENDIX G: CREDIT360 COUNTRY OFFICE SURVEY SCREENSHOTS

Figure 14. Credit360 Landing Page

Figure 15. Credit360 Energy Information Tab


63 | P a g e

Figure 16. Credit360 Stationary Combustion Data Entry

APPENDIX H – AUTOMATIC THRESHOLDS WITHIN CREDIT360

Indicator Unit Lower Threshold

Upper Threshold

Office

Number of months at this property out of the last 12 months

Months 130%

Size of entire building that World Bank/IFC's office space is within (rentable space)

m2 100% 100%

Size of office space that you occupy in the building m2 90% 110%

Onsite Fuel

Onsite Fuel Use for Building (if office amounts are unknown)

Amount of Diesel (stationary - building) liters 50% 150%

Amount of Gasoline (stationary - building) liters 50% 150%

Amount of LPG/Propane (stationary - building) liters 50% 150%

Amount of Natural Gas (stationary - building) Therms 50% 150%

Onsite Fuel Use for Office

Amount of Diesel (stationary) liters 50% 150%

Amount of Gasoline (stationary) liters 50% 150%

Amount of LPG/Propane (stationary) liters 50% 150%


64 | P a g e

Amount of Natural Gas (stationary) Therms 50% 150%

Refrigerants for Office

Amount of HFC-125 recharged Pounds 50% 150%


Amount of HFC-134a recharged Pounds 50% 150%


Amount of HFC-143a recharged Pounds 50% 150%

Amount of HFC-227ea recharged Pounds 50% 150%


Amount of HFC-236fa recharged Pounds 50% 150%

Amount of HFC-245ca recharged Pounds 50% 150%



Amount of HFC-R404a recharged Pounds 50% 150%

Amount of Other recharged Pounds 50% 150%

Amount of R-11 recharged Pounds 50% 150%

Total refrigerant recharged (from building)

Total amount of HFC-125 recharged Pounds 50% 150%


Total amount of HFC-134a recharged Pounds 50% 150%



Total amount of HFC-227ea recharged Pounds 50% 150%


Total amount of HFC-236fa recharged Pounds 50% 150%

Total amount of HFC-245ca recharged Pounds 50% 150%




65 | P a g e

Total amount of HFC-R404a recharged Pounds 50% 150%

Total amount of Other recharged Pounds 50% 150%

Total amount of R-11 recharged Pounds 50% 150%

Refrigerants from Vehicles






Total amount of HFC-227ea recharged Pounds 50% 150%


Total amount of HFC-236fa recharged Pounds 50% 150%

Total amount of HFC-245ca recharged Pounds 50% 150%



Total amount of HFC-R404a recharged Pounds 50% 150%

Total amount of Other recharged Pounds 50% 150%

Total amount of R-11 recharged Pounds 50% 150%

Road

Biodiesel fuel consumed Gallons 75% 125%

Diesel fuel consumed Gallons 50% 150%

E85 Fuel consumed Gallons 50% 150%

Gasoline fuel used Gallons 50% 150%

LPG (vehicle) fuel used Gallons 50% 150%

Other fuel used Gallons 50% 150%

Residual fuel oil use Gallons 50% 150%

Distance Driven by Vehicle Type

Light truck miles 50% 150%


66 | P a g e

Motorcycle miles 50% 150%

SUV miles 50% 150%

Sedan miles 50% 150%

Fuel consumption by vehicle type

Heavy truck gallons 50% 150%

Hybrid gallons 50% 150%

Large van gallons 50% 150%

Light truck gallons 50% 150%

Motorcycle gallons 50% 150%

SUV gallons 50% 150%

Sedan gallons 50% 150%

Electricity Use

Electricity consumption of office space kWh 75% 125%

Electricity consumption of whole building kWh 75% 125%


67 | P a g e

WORLD BANK GROUP

Organization Name: The World Bank: IBRD/IDA

Corporate Address: 1818 H St. NW, Washington, DC, USA 20433

Inventory Manager: Environmental Specialist, Monika Kumar

Contact Information: Email: [email protected]

Organization Name: International Finance Corporation (IFC)

Corporate Address: 2121 Pennsylvania Ave., NW, Washington, DC 20433

Inventory Manager: Footprint Program Manager, Sarah Raposa

Contact information: Phone: 202-458-7703

Email: [email protected]

mailto:[email protected]

the world bank group greenhouse gas emissions inventory management...

Documents