E2District is a European Commission Horizon 2020 Research and Innovation Project formally entitled 'Energy Efficient Optimised District Heating and Cooling'.


As identified by Intelligent Energy Europe , district heating is likely to double its share of the European heat market by 2020 (reaching approximately an 18-20% share) while district cooling will likely grow to satisfy 25% of cooling demands. This expansion will translate into a 2.6% reduction in the entire European primary energy need and a 9.3% reduction of all carbon emissions and, ultimately, will achieve a significant reduction in European energy import dependency.  

This vision, however, is not possible through modernisation and expansion alone but requires fundamental technological innovation. Barriers which need to be surmounted include the lack of proper tools, inflexibility of the existing DHC business models, limited customer engagement in the DHC energy market and lack of support for future distributed generation and energy exchange between consumers, producers and DHC.

E2District will address these issues by developing, deploying, validating and demonstrating a novel cloud based District Management and Decision Support framework for next generation DHC systems.

Next generation DHC systems will use a variety of energy sources in one and the same district for thermal production (poly-production), including traditional sources such as gas boilers, heat pumps/chiller plants, renewable energy sources such as biomass, solar heat and geo-thermal, and waste heat from e.g. industrial processes, incineration, waste water and data centres. The next generation systems will automatically schedule these assets with the objective of optimising energy cost, which (at fixed tariffs) will also optimise energy efficiency, considering all available flexibility (ability to increase or decrease production or consumption when instructed) in production assets and new asset classes such as the prosumer: the end-users who offer flexibility to the operator. They will respond to market signals such as real-time prices.