Nowadays, there is more heat wasted during electricity production in Europe than is required to heat all buildings in the continent. Therefore, there is a huge potential for improvements in the heating sector and that means that by collecting the vast quantities of waste heat from industries and electricity production, and distributing it with smart district heating grids, it would be possible to save all of the natural gas currently used for heating buildings in Europe. This would result not only in monetary savings, but also in considerable CO2 emissions reductions.
The baseline energy system models for 2015 and 2050 of the 14 EU countries participating in HRE are now available. The models for the EnergyPLAN tool will be the point of departure in the development of the Heat Roadmap scenarios and serve as reference when assessing the possible impact of these scenarios.
The models have been created based on annual baseline data from the JRC-EU-TIMES model and cover the large 14 EU MSs in terms of heating demand. The scenarios can be accessed here and a brief guide of how to load and run the models in EnergyPLAN can be found here.
The newest iteration of the 4th Pan-European Thermal Atlas, Peta 4.2, represents a significant update with even more valuable information on 90% of the EU’s total heat market.
Peta 4.2, which is freely accessible, supplies a range of useful inputs for energy planning and developing those conditions necessary for driving the decarbonisation of heating and cooling across Europe.
Expanding Peta to 10 key layers allows the prioritisation of heat synergy regions, a discovery of alternative sources (i.e. excess heat and renewable energy sources), the identification of both heating and cooling demands and even indications for infrastructural costs to implement viable urban solutions.
Peta 4.2 was launched in September 2017 at the 3rd International Conference on Smart Energy Systems and 4th Generation District Heating in Copenhagen, and is now publicly available to any users wishing to take advantage of this powerful planning tool.
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 695989.