smart dublin energy 04/12/2015
TRANSCRIPT
Smart Dublin – EnergyInnovation of Cities Tour
Friday, 4th Dec 2015
Dr Gerry Wardell, Director of Codema
About Codema Founded in 1997 on
initiative of Dublin City Council under SAVE II Programme
Energy Agency for 3 Dublin Local Authorities
Codema’s Competencies Team of 10 staff
ENERGY-SMART CITY?
CORE IS:
DUBLIN’S ICT INDUSTRY
CONVERGING WITH:
ABUNDANCE OF RENEWABLE ENERGY
..IN A COMPLEX BUSY CITY OF 1 MILLION PEOPLE
NOT SIMPLE…
A SMARTER WAY OF LIVING
ENERGY-SMART CITY?
Dublin City Spatial Energy Demand AnalysisDonna Gartland – Strategic Sustainable Energy Planner, Codema
Methodology: Residential Sector
Building Energy Rating Database
16 Dublin City Postcodes
4 Dwelling Types
7 Construction Periods
448 Data Sub-sets for Energy Use in Dwellings
Census 2011
2202 Small Areas in Dublin City
4 Dwelling Types
7 Construction Periods
50-200 dwellings per Small Area
61,656 Dublin City Housing Data Sub-sets
72,097 BER’s in Dublin City202,468 Total dwellings in Dublin City
36% statistical representation
Methodology: Residential Sector
Methodology: Commercial Sector
Valuation Office
21,352 Commercial (Industrial & Services) Properties in Dublin City
Property Use Floor Area (m2) XY Coordinates
CIBSE Energy Use per m2 Floor Area per Property Use
Mapping Software Match to Small Area
Energy Use per Commercial Property
Methodology: Commercial Sector
Reducing waste heat: District Heating
Results: District Heating Potential
EU legislation requires all member states to map heating and/or cooling demands
New EU Heating and Cooling Strategy to be released in January
Dublin City Heat Map reveals over 75% of small areas have a high enough heat density to be suitable for DH
Docklands area is ideal location for first phase development Already work done on DH in Docklands Pipes already in the ground Waste to Energy Plant – 90 MW waste heat New developments planned & will be DH enabled in SDZ
Results: District Heating PotentialHeat Density in DocklandsSDZ >470 TJ/km2
Results: Energy Poverty Areas
Three influencing factors affecting energy poverty, as defined by the DCENR:
Ability to pay energy bills Cost of energy Energy efficiency of the home
Mapped areas at most at risk of energy poverty according to Unemployment/Unable to work (ability to pay bills) Energy efficiency rating of the home Cost of energy per household
