carbon footprint business strategies

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Carbon Footprint Strategies for Sustainable Business Andy Leventhal EcoSynergy

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Presentation on measuring carbon footprints, supply chains, logistics, and information management. Learn more about Sustainable Business & Design at: http://sustainablelifemedia.com

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Page 1: Carbon Footprint Business Strategies

Carbon Footprint Strategies for Sustainable Business

Andy LeventhalEcoSynergy

Page 2: Carbon Footprint Business Strategies
Page 3: Carbon Footprint Business Strategies

corporate cultures are shifting

As companies organize themselves toward sustainability, the actions they choose to take will be derived from the information

they have available.

Page 4: Carbon Footprint Business Strategies

Supply Chain Distribution

Footprinting today

Power/FuelTransportCompany HQ

Presenter
Presentation Notes
This model is made up of a different arrangement of inputs: Location: each location has emissions from both electricity use and onsite use of fossil fuels, such as natural gas furnaces, diesel generators, combined heat and power (CHP) systems, and so on. We would use power bills, fuel purchases, a description of the major energy consuming machines or activities at the facility, and some measure of either production volume, number of staff, etc. (to contextualize the results on the basis of productivity). Transportation: The arrows here represent transportation. Each of the medium size arrows could be trucks shipping intermediate goods between facilities. The large arrow could be the cargo vessel shipping a foreign-made final product to the US market. The smaller arrows could represent air travel by company employees from HQ to the various overseas locations. Supply Chain: Supply chain emissions would build upon those scope 1 and 2 emissions inventories, and it would use our library of “input materials” to estimate the carbon footprint of all those materials being purchased and consumed by the company. For manufacturing companies, the focus would be on materials that make up the products themselves, so the company would be able to apply their previous work (ie. Facility emissions inventories) to the current project- that would be an opportunity to move from a company carbon footprint to product carbon footprints. Alternatively, a company that started with a product carbon footprint could move into company-wide footprinting as well. For a services company, we would calculate the footprint of the most commonly consumed materials, such as paper or furniture. Life Cycle emissions of each input material Energy use (location, transportation, raw materials) Fuel consumption (transportation, factory, etc) Bill of Materials (supply chain) Plant Locations and Production Volume
Page 5: Carbon Footprint Business Strategies

Component Category Material Unit EIO Sector g CO2e / unit Unit weight g CO2e / unit material Ave cost per unit material Footprint / $1,000,000 Direct Emissions

Jacket fabric Cotton yds Broadwoven fabric mills 4634.999767 2 2317.499883 1.48 1565.8783 126.7991535

Polyester ydsNoncellulosic organic fiber manufacturing 3414.43555 2 1707.217775 1.08 1580.757199 592.3949031

Polyester/Cotton (60/40) yds Mix 4251.975226 2 2125.987613 1.35 1574.805639 406.1566033

Polyester/Cotton (65/35) yds Mix 3938.873961 2 1969.43698 1.25 1575.549584 429.4363908

Nylon ydsNoncellulosic organic fiber manufacturing 6734.025668 2 3367.012834 2.13 1580.757199 592.3949031

Jacket lining Nylon ydsNoncellulosic organic fiber manufacturing 4713.817968 1.4 3367.012834 2.13 1580.757199 592.3949031

Rayon ydsCellulosic organic fiber manufacturing 11167.27518 1.4 7976.625132 2.5 3190.650053 2458.780203

Cotton yds Broadwoven fabric mills 3244.499837 1.4 2317.499883 1.48 1565.8783 126.7991535

Jacket dye Synthetic dye ozSynthetic dye and pigment manufacturing 1328.199555 0.41 3239.511109 1.1 2945.010099 2013.500351

Natural dye ozOther basic organic chemical manufacturing 702.8913917 0.41 1714.369248 1.3 1318.745575 389.924975

Jacket pockets Cotton yds Broadwoven fabric mills 92.69999534 0.04 2317.499883 1.48 1565.8783 126.7991535

Polyester/Cotton (60/40) yds Mix 85.03950452 0.04 2125.987613 1.35 1574.805639 406.1566033

Rayon ydsCellulosic organic fiber manufacturing 319.0650053 0.04 7976.625132 2.5 3190.650053 2458.780203

Jacket zipper Aluminum unitButtons, pins, and all other miscellaneous manufacturing 763.3238497 1 763.3238497 1.35 565.4250739 20.91589769

Brass unitButtons, pins, and all other miscellaneous manufacturing 763.3238497 1 763.3238497 1.35 565.4250739 20.91589769

Nylon unitButtons, pins, and all other miscellaneous manufacturing 633.2760827 1 633.2760827 1.12 565.4250739 20.91589769

Is there a better way?

Component Category Material Unit EIO Sector

g CO2e / unit Unit weight

g CO2e / unit material

Ave cost per unit material

Footprint / $1,000,000

Direct Emissions

Jacket fabric Cotton ydsBroadwoven fabric mills

4634.999767 2 2317.499883 1.48 1565.8783 126.7991535

Polyester yds

Noncellulosic organic fiber manufacturing 3414.43555 2 1707.217775 1.08 1580.757199 592.3949031

Polyester/Cotton (60/40) yds Mix

4251.975226 2 2125.987613 1.35 1574.805639 406.1566033

Polyester/Cotton (65/35) yds Mix

3938.873961 2 1969.43698 1.25 1575.549584 429.4363908

Nylon yds

Noncellulosic organic fiber manufacturing

6734.025668 2 3367.012834 2.13 1580.757199 592.3949031

Jacket lining Nylon ydsNoncellulosic organic fiber manufacturing

Rayon ydsCellulosic organic fiber manufacturing

Cotton yds Broadwoven fabric mills

Jacket dye Synthetic dye ozSynthetic dye and pigment manufacturing

Natural dye ozOther basic organic chemical manufacturing

Jacket pockets Cotton yds Broadwoven fabric millsPolyester/Cotton (60/40) yds Mix

Rayon ydsCellulosic organic fiber manufacturing

Jacket zipper Aluminum unitButtons, pins, and all other miscellaneous manufacturing

Brass unitButtons, pins, and all other miscellaneous manufacturing

Nylon unitButtons, pins, and all other miscellaneous manufacturing

Footprint / $1,000,000 Direct Emissions Power Supply

Broadwoven fabric mills 1565.8783 126.7991535 232.98

Noncellulosic organic fiber manufacturing 1580.757199 592.3949031 183.1095712

Cellulosic organic fiber manufacturing 3190.650053 2458.780203 91.96105656

Synthetic dye and pigment manufacturing 2945.010099 2013.500351 178.2646121

Other basic organic chemical manufacturing 1318.745575 389.924975 114.5467645

Buttons, pins, and all other miscellaneous manufacturing 565.4250739 20.91589769 59.88678625

Page 6: Carbon Footprint Business Strategies

• Scientific• Marketing speak• Stimulate innovation

• Rows and Tables• PDF, PPT• Corporate Applications

• Sustainability teams• Operations• Supply Chain• Laptops & Desktops

• Limited access to corporate applications

• Unknown owners working on sustainability projects

• Silo’ed dataData

AccessData

Location

Data Usefulness

Data Format

Data Constraints

Page 7: Carbon Footprint Business Strategies

Innovation requires information

Business Intelligence

Tracking and Reporting

Faster Baselines

Simple Comparisons

Improved Decision Making

Marketing

Operations

Procurement

Sustainability

Product Development

Employee Travel

Manufacturing

Energy/Fuel

Distribution

Transportation

Raw Materials

Operations

Raw Data

Innovations are both radical and incremental changes inthinking, in things, in processes or in services.

Page 8: Carbon Footprint Business Strategies

What if….

Make the information more available and more useable to more people in the

organization

Page 9: Carbon Footprint Business Strategies

© 2008 EcoSynergy, Inc. All Rights Reserved.

Automated Carbon Footprints

• Emissions information published company – wide • Low-cost deployment • Simple comparisons between products • Comprehensive & fast baselines • Distributed environmental & scientific data• Flexible & intuitive reporting & analysis

In Conclusion:Expand the use of carbon footprintingFeed the culture change

Presenter
Presentation Notes
The data collected through the web forms is then organized by product or by facility. For each input material or facility, a Gap Analysis of the inputs is performed to identify missing information. Follow up queries are sent to the “owners” of this information, as identified in the kick off meeting. The inputs are also QA/QC’ed to ensure that the correct data was obtained, units are correct, the time scales are accurate, and so on.