Unveiling the Spatial Distribution of Heat Demand in North-West-Europe Compiled with National Heat Consumption Data

Author:

Jüstel Alexander12ORCID,Humm Elias12,Herbst Eileen12,Strozyk Frank2ORCID,Kukla Peter1ORCID,Bracke Rolf34ORCID

Affiliation:

1. Geological Institute, RWTH Aachen University, Wüllnerstraße 2, 52062 Aachen, Germany

2. Fraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, Kockerellstraße 17, 52062 Aachen, Germany

3. Fraunhofer IEG, Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, Am Hochschulcampus 1, 44801 Bochum, Germany

4. Geothermal Energy Systems, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany

Abstract

Space and water heating for residential and commercial buildings amount to a third of the European Union’s total final energy consumption. Approximately 75% of the primary energy is still produced by burning fossil fuels, leading to high greenhouse gas emissions in the heating sector. Therefore, policymakers increasingly strive to trigger investments in sustainable and low-emission heating systems. This study forms part of the “Roll-out of Deep Geothermal Energy in North-West-Europe”-project and aims at quantifying the spatial heat demand distribution in the Interreg North-West-Europe region. An open-source geographic information system and selected Python packages for advanced geospatial processing, analysis, and visualization are utilized to constrain the maps. These were combined, streamlined, and optimized within the open-source Python package PyHeatDemand. Based on national and regional heat demand input data, three maps are developed to better constrain heat demand at a high spatial resolution of 100 m × 100 m (=1 ha) for the residential and commercial sectors, and for both together (in total). The developed methodology can not only be applied to transnational heat demand mapping but also on various scales ranging from city district level to states and countries. In addition, the workflow is highly flexible working with raster data, vector data, and tabular data. The results reveal a total heat demand of the Interreg North-West-Europe region of around 1700 TWh. The spatial distribution of the heat demand follows specific patterns, where heat demand peaks are usually in metropolitan regions like for the city of Paris (1400 MWh/ha), the city of Brussels (1300 MWh/ha), the London metropolitan area (520 MWh/ha), and the Rhine-Ruhr region (500 MWh/ha). The developed maps are compared with two international projects, Hotmaps and Heat Roadmap Europe’s Pan European Thermal Atlas. The average total heat demand difference from values obtained in this study to Hotmaps and Heat Roadmap Europe is 24 MWh/ha and 84 MWh/ha, respectively. Assuming the implementation of real consumption data, an enhancement in spatial predictability is expected. The heat demand maps are therefore predestined to provide a conceptual first overview for decision-makers and market investors. The developed methods will further allow for anticipated mandatory municipal heat demand analyses.

Funder

Interreg North-West-Europe (Interreg NWE) Program

European Cohesion Policy

Publisher

MDPI AG

Reference58 articles.

1. European Council, European Economic and Social Committee, and Committee of the Regions (2024, January 06). The European Green Deal. Available online: https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en.

2. Reiter, U., Catenazzi, G., Jakob, M., and Naegeli, C. (2024, January 06). Mapping and Analyses of the Current and Future (2020–2030) Heating/Cooling Fuel Deployment (Fossil/Renewables)—Work Package 1: Final Energy Consumption for the Year 2012. Available online: https://energy.ec.europa.eu/publications/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment-fossilrenewables_en.

3. Technische Universität Wien, Fraunhofer ISI, Technical University of Denmark, OÖ Energiesparverband, IREES GmbH—Institut für Ressourceneffizienz und Energiestrategien, EE Energy Engineers GmbH, Gate 21, INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering, ABMEE—Agenția Pentru Managementul Energiei și Protecția Mediului, and City of Litoměřice und Energy Cities France (2024, January 06). Fostering the Use of Renewable Energies for Heating and Cooling (progRESsHEAT), 2014–2017. Available online: https://www.isi.fraunhofer.de/en/competence-center/energietechnologien-energiesysteme/projekte/317179_progressheat.html.

4. European Geothermal Energy Council (2024, January 06). GeoDH—Geothermal District Heating, 2011–2014. Available online: http://geodh.eu/.

5. Politechnika Krakowska (2024, January 10). GRESHeat—Renewable Energy System for Residential Building Heating and Electricity Production. Available online: https://cordis.europa.eu/project/id/956255.

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1. PyHeatDemand - Processing Tool for Heat Demand Data;Journal of Open Source Software;2024-03-06

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