IrDEA is has developed an All-Island Heat Atlas for Ireland which will be launched at IrDEA’s 2019 conference on the 12th April 2019 in Dublin.

Click on the image below to open an online interactive version.

Heat Atlas V1


The development of heat supply strategies can be greatly facilitated by means of geographical and quantitative representations of heat demand and supply. In the Heat Roadmap Europe research initiative, researchers from Aalborg, Halmstad and Flensburg universities have developed heat atlases for European Member States using geographical information systems (GIS) and quantitative mapping. This has led to the development of Peta, the Pan-European Thermal Atlas, which is currently available for 14 EU member states as a deliverable of the Heat Roadmap Europe project under the Horizon 2020 framework. Peta includes heat demands, a zoning of urban and rural areas into prospective heat supply districts, cost-supply relationships for district heating, and an allocation of potential excess heat to prospective district heating systems. There is presently no heat atlas available for Ireland.

The objective of this project is to develop a similar heat atlas for Ireland, adapted to local conditions and needs. Based on the modelling framework developed for Peta at the University of Flensburg, a heat atlas shall be designed, which can be used for regional planning and dissemination. The heat atlas will be provided on an ‘All-Island’ basis to include the Republic of Ireland and Northern Ireland, while any ‘totals’ will be provided for each jurisdiction separately e.g. total head demand, total DH potential, etc.

The following list of data layers are indicative of what may be provided as part of the Irish Heat Atlas, depending on the data that can be obtained:

  1. Heat demands on a 100m resolution raster, but accurate to a 1 km2
  2. DH distribution investment costs, again on a 100m resolution raster and accurate to a 1 km2
  3. Delineation of prospective heat supply areas, polygon layer (i.e. will outline where DH is feasible)
  4. Place names (OSM), area, administrative structure, summary of HD by density
  5. Excess heat activities (>50MW fuel input) (i.e. sources of excess heat supply that the DH network can use)
  6. Model of DH distribution network efficiency
  7. Model of heat demand seasonality
  8. Local cost-supply curves for all prospective supply areas to identify economic DH potentials
  9. Allocation of potential excess heat to potential DH systems by means of network analysis

The results will be presented in an ArcGIS Online platform, similar to the EU online platform (here you can see how items 3 & 4 look):

For further information:

The results of the research cooperation will be published in a research paper and GIS layers will be made available in ESRI Geodatabase format.