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Spatial models and spatial analytics results: D5.7
Europa-Universität Flensburg, Flensburg, Germany.
Europa-Universität Flensburg, Flensburg, Germany.
Halmstad University, School of Business, Innovation and Sustainability.ORCID iD: 0000-0002-6369-2222
Halmstad University, School of Business, Innovation and Sustainability.ORCID iD: 0000-0001-9118-4375
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2022 (English)Report (Other academic)
Abstract [en]

The present report accounts for the spatial models of energy efficiency and the geospatial analysis carried out to quantify and locate energy efficiency potentials across sectors. In the building sector, future heat demands on national scales are being distributed using the age class of built-up areas and innovative models of future population distribution. District heat distribution capital costs combined with heat demand densities allow for the assessment of economic potentials of future district heating. Efficiency potentials in the transport and industrial sectors have been associated to locations, and transmission infrastructures have been mapped. Combining all these aspects, spatial analytics help understanding the opportunities and constraints that arise from the geography of energy systems. Energy efficiency in the three sectors has been mapped at different scales. Cost curves for district heating have been prepared for member states. For use in energy systems analysis, a matrix has been developed that relates energy efficiency in buildings and district heating potentials. Areas of interest for the conversion of natural gas to district heating have been mapped, combining present gas use with infrastructural aspects. Local potentials of district heating have been quantified for almost 150,000 settlements, and potential heat sources from industrial and wastewater treatment plants as well as locally available renewable energy sources have been allocated to potential district heating areas. Finally, to visualise and compare energy efficiency across sectors, technologies, and countries, the sEEnergies Index shows local potentials for improving energy efficiency and utilising synergies in all settlements of the EU27 plus the UK. In conclusion, the report documents how dissemination can be facilitated using the online geospatial information and mapping applications prepared in the sEEnergies Project.   

Place, publisher, year, edition, pages
Zenodo , 2022. , p. 71
National Category
Energy Engineering Energy Systems Remote Sensing
Research subject
Smart Cities and Communities
Identifiers
URN: urn:nbn:se:hh:diva-46770DOI: 10.5281/zenodo.6524594OAI: oai:DiVA.org:hh-46770DiVA, id: diva2:1656749
Part of project
Quantification of synergies between Energy Efficiency first principle and renewable energy systems
Funder
EU, Horizon 2020, 846463Available from: 2022-05-07 Created: 2022-05-07 Last updated: 2022-05-13Bibliographically approved

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Sánchez-García, LuisPersson, Urban

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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