Opendata, web and dolomites


Self-organising Thermal Operational Resource Management

Total Cost €


EC-Contrib. €






Project "STORM" data sheet

The following table provides information about the project.


Organization address
address: BOERETANG 200
city: MOL
postcode: 2400

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Project website
 Total cost 1˙972˙125 €
 EC max contribution 1˙972˙125 € (100%)
 Programme 1. H2020-EU.3.3.1. (Reducing energy consumption and carbon foorpint by smart and sustainable use)
 Code Call H2020-EE-2014-2-RIA
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-03-01   to  2019-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
2    MIJNWATER B.V. NL (HEERLEN) participant 390˙929.00
3    NODAIS AB SE (KARLSHAMN) participant 362˙869.00
4    STICHTING ZUYD HOGESCHOOL NL (HEERLEN) participant 233˙719.00
5    VAXJO ENERGI AB SE (VAXJO) participant 202˙876.00
6    EUROHEAT & POWER BE (BRUXELLES) participant 173˙013.00
7    SIGMA ORIONIS SA FR (VALBONNE) participant 42˙485.00


 Project objective

In STORM a generic district heating and cooling (DHC) network controller will be development and demonstration, with the ambition to increase the use of waste heat and renewable energy sources in the DHC network.

The general applicability will be guaranteed by the following measures: - Applying self-learning control techniques instead of model-based control approaches, will make the controller easy to implement in different configuration and generations of DHC networks. - Three control strategies are included in the controller (peak shaving, market interaction, cell balancing). Dependent of the network, one or more of these strategies can be activated. - The controller will be an add-on to many existing DHC network controllers and SCADA systems.

To present this general applicability, the controller will be demonstrated in two existing grids: one highly innovative low-temperature DHC network In the Netherlands and a more common medium-temperature district heating grid in Sweden.

Since additional value is created by applying the control strategies in the controller, innovative business models should be developed to distribute this value amongst the different market players (producers, transporters, consumers of energy). This will also be addressed in the project.

Also a plan will be developed on how the developed controller can be replicated to other countries than the ones of the demonstrators, taking into account different market organizations and legal framework.

With respect to dissemination two levels of dissemination will be applied. A international dissemination will address the international research community, DHN network controller suppliers, international energy companies etc… Besides that, an additional local level will be implemented where two local dissemination platforms will be installed integrating all local stakeholders (the energy company, users, local educational institutions, local politicians…). Special attention is foreseen for education.


List of deliverables.
Report on training courses for professionals (proceedings of 5 training seminars) Documents, reports 2020-01-24 09:25:24
Controller framework compatibility report Demonstrators, pilots, prototypes 2020-01-24 09:25:24
Report on education modules for universities of applied science in Europe Documents, reports 2020-01-24 09:25:23
Economic assessment of business models for DHC networks operators Documents, reports 2020-01-24 09:25:23
STORM controller evaluation report Documents, reports 2020-01-24 09:25:24
Report on STORM international and local dissemination activities Documents, reports 2020-01-24 09:25:23
Final report on the performance of the STORM controller Documents, reports 2020-01-24 09:25:23
Project website Websites, patent fillings, videos etc. 2020-01-24 09:25:23
Report on classification of DHC networks and control strategies Documents, reports 2020-01-24 09:25:23

Take a look to the deliverables list in detail:  detailed list of STORM deliverables.


year authors and title journal last update
List of publications.
2017 Christian Johansson, Markus Bergkvist, Davy Geysen, Oscar De Somer, Niklas Lavesson, Dirk Vanhoudt
Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms
published pages: 208-216, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.05.068
Energy Procedia 116 2020-01-24
2018 Davy Geysen, Oscar De Somer, Christian Johansson, Jens Brage, Dirk Vanhoudt
Operational thermal load forecasting in district heating networks using machine learning and expert advice
published pages: 144-153, ISSN: 0378-7788, DOI: 10.1016/j.enbuild.2017.12.042
Energy and Buildings 162 2020-01-24
2018 Gowri Suryanarayana, Jesus Lago, Davy Geysen, Piotr Aleksiejuk, Christian Johansson
Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods
published pages: 141-149, ISSN: 0360-5442, DOI: 10.1016/
Energy 157 2020-01-24
2017 Dirk Vanhoudt, Bert Claessens, Johan Desmedt, Christian Johansson
Status of the Horizon 2020 Storm Project
published pages: 170-179, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.05.065
Energy Procedia 116 2020-01-24

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The information about "STORM" are provided by the European Opendata Portal: CORDIS opendata.

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