Dr Gerry Wardell, Director of Codema. Founded in 1997 on initiative of Dublin City Council under SAVE II Programme
Energy Agency for 3 Dublin Local Authorities
9. Dublin City Spatial Energy Demand Analysis
Donna Gartland – Strategic Sustainable Energy Planner, Codema
10. 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
11. 72,097 BER’s in Dublin City
202,468 Total dwellings in Dublin City
∴ 36% statistical representation
Methodology: Residential Sector
12. 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
15. 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
17. 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
Some postcodes have higher representation than others, Dublin 1 has 60% representation of BERs.
BER map shows areas with best and worst BERs, newer areas showing up with better ratings and older inner city areas showing up the worst
Detail in the BERs also allows us to map things like average floor areas in each small area, see where larger housing is located
And when we apply todays energy costs for fuel and electricity, we can see areas with highest annual energy spend per household, usually areas with the largest floor areas and those with high electricity usage.
CIBSE has the most well established source of energy data for the commercial sector, and is widely used in Ireland for energy modelling and is used for comparative benchmarking in Display Energy Certificates by SEAI.
Allows us to map the locations of all the commercial properties and colour code them according to energy demand
Common practice for many other EU countries to map and make plans for heating provision.
We can see from the BER map that the energy demand in new developments has been somewhat lowered by new building regulations and new technologies.
Areas with high unemployment or those that are unable to work on sickness benefit were overlapped with areas with BERs of E or lower, and of those areas, which had highest costs of energy per household were identified as the areas most at risk of energy poverty. 865 households identified in top ten areas worst affected.