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Start page / Development cooperation / Thermal Energy Resource Modelling and Optimisation System (THERMOS)

Thermal Energy Resource Modelling and Optimisation System (THERMOS)

Project duration

2016. – 2019. (36 months)


THERMOS project provide accessible sophisticated new energy system mapping methodologies, software and associated modelling tools that empower and enable public authorities (and other agencies and stakeholders) to plan, develop, expand and upgrade city and local area heating and cooling systems significantly more quickly, efficiently and cost effectively. Project put local decision makers in a position to identify the right areas and routes for different types of thermal system more quickly and accurately by automating questions about possible system configurations and economics. This approach will massively reduce planning costs, speeding up the lengthy processes currently associated with building and upgrading thermal networks (i.e. due to repeated analyses, pre-feasibility and feasibility studies of different options and routes). It will also allow national and regional planning to be based upon the same high-resolution energy system data as local project development processes.

Project objective

The overall aim of the THERMOS project is to provide the methods, data, and tools to enable public authorities and other stakeholders to undertake more sophisticated thermal energy system planning far more rapidly and cheaply than they can today. The purpose of this is to amplify and accelerate the development of new low carbon heating and cooling systems across Europe, and to enable faster upgrade, refurbishment and expansion of existing systems.

Main activities

  • Develop and publish a state-of-the-art methodology for developing address-level energy system maps.
  • Produce a set of such maps for the Pilot Cities (coverage of layers will be national where inputs allow).
  • Create and publish modelling algorithms for analysing these maps to answer a range of questions required for thermal energy system planning by city, region and national stakeholders.
  • Develop and publish free, open-source software implementing these algorithms on this data, tailored to the specific needs of stakeholders from four different EU Member States, including the Pilot City authorities, plus an EU-wide perspective from Aalborg University’s Stratego team.
  • Work closely with energy planning stakeholders to support the use of the new tools in real-world energy planning.
  • Support the implementation of the energy system mapping methodology, and subsequently the use of the software, with a further four Replication Cities/Regions, from three more EU Member States.
  • Engage in a wider programme of dissemination and communication activities to maximise the impacts of the project outputs, during and beyond the lifetime of the project itself.
  • Pilot city in Latvia – Jelgava municipality.

Project budget

Planned project budget ~ 2 902 480.00 EUR. LEIF contributes to the Project as Project partner with amount 74 000.00 EUR.

Project partners

  •          Centre Sustainable (Great Britain  - Leed partner)
  •          Imperial College of Science technology and medicine (Great Britain)
  •          Greater London authority (Great Britain)
  •          London Borough of Islington (Great Britain)
  •          Creara Consultores SL (Spain)
  •          Ajuntament de Granollers (Spain) 
  •          Krajowa Agencja Poszanowania Energii SA (Poland)
  •          Miasto Stoleczne Warszawa (Poland)
  •          Jelgava city (Latvia)
  •          Aalborg Universitet (Denmark)
  •          ICLEI – Local Governmnets for Sustainability (Germany)
  •          Deutsche Energie-Agentur GMBH (Germany)
  •          Primeria Municipliului ui Alba Ioulia (Rumania)
  •          Câmara Municipal de Cascais (Portugal)
  •          Gemeente Rotterdam (Netherland)
  •          Latvia Environmental Investment Fund (Latvia)

Additional information: Aija Zučika, project manager, phone.+371 67845111

Project is financed by:


This project has received funding from the European Union’s Horizon 2020 research and innovation programme

under grant agreement No 723636.

Project home page:


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