IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v190y2017icp749-763.html
   My bibliography  Save this article

Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy

Author

Listed:
  • Unternährer, Jérémy
  • Moret, Stefano
  • Joost, Stéphane
  • Maréchal, François

Abstract

Given the challenges related to climate change and dependency from fossil fuels, modification of the energy systems infrastructure to increase the share of renewable energy is a priority in urban energy planning. The high heating density in cities makes it more economically competitive to deploy district heating (DH), which is essential for large-scale integration of renewable energy sources. Combining georeferenced data with district heating design methods allows to improve the quality of the system design. However, increasing the spatial resolution can lead to intractable model sizes.

Suggested Citation

  • Unternährer, Jérémy & Moret, Stefano & Joost, Stéphane & Maréchal, François, 2017. "Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy," Applied Energy, Elsevier, vol. 190(C), pages 749-763.
  • Handle: RePEc:eee:appene:v:190:y:2017:i:c:p:749-763
    DOI: 10.1016/j.apenergy.2016.12.136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916319195
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.12.136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
    2. Falke, Tobias & Krengel, Stefan & Meinerzhagen, Ann-Kathrin & Schnettler, Armin, 2016. "Multi-objective optimization and simulation model for the design of distributed energy systems," Applied Energy, Elsevier, vol. 184(C), pages 1508-1516.
    3. Ministry of Agriculture & Farmers Welfare,, 2016. "Horticultural Statistics at a Glance 2015," OUP Catalogue, Oxford University Press, number 9780199466726, Decembrie.
    4. Lam, Hon Loong & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2011. "Model-size reduction techniques for large-scale biomass production and supply networks," Energy, Elsevier, vol. 36(8), pages 4599-4608.
    5. Persson, Urban & Werner, Sven, 2011. "Heat distribution and the future competitiveness of district heating," Applied Energy, Elsevier, vol. 88(3), pages 568-576, March.
    6. Möller, Bernd & Lund, Henrik, 2010. "Conversion of individual natural gas to district heating: Geographical studies of supply costs and consequences for the Danish energy system," Applied Energy, Elsevier, vol. 87(6), pages 1846-1857, June.
    7. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    8. Nielsen, Steffen & Möller, Bernd, 2013. "GIS based analysis of future district heating potential in Denmark," Energy, Elsevier, vol. 57(C), pages 458-468.
    9. Gebremedhin, Alemayehu, 2012. "Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions," Applied Energy, Elsevier, vol. 95(C), pages 300-304.
    10. Reidhav, Charlotte & Werner, Sven, 2008. "Profitability of sparse district heating," Applied Energy, Elsevier, vol. 85(9), pages 867-877, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.
    2. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    3. Persson, U. & Möller, B. & Werner, S., 2014. "Heat Roadmap Europe: Identifying strategic heat synergy regions," Energy Policy, Elsevier, vol. 74(C), pages 663-681.
    4. Leurent, Martin & Da Costa, Pascal & Rämä, Miika & Persson, Urban & Jasserand, Frédéric, 2018. "Cost-benefit analysis of district heating systems using heat from nuclear plants in seven European countries," Energy, Elsevier, vol. 149(C), pages 454-472.
    5. Bachmann, Max & Kriegel, Martin, 2023. "Assessing the heat distribution costs of linear and radial district heating networks: A methodological approach," Energy, Elsevier, vol. 276(C).
    6. Weinand, Jann Michael & Kleinebrahm, Max & McKenna, Russell & Mainzer, Kai & Fichtner, Wolf, 2019. "Developing a combinatorial optimisation approach to design district heating networks based on deep geothermal energy," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    7. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Connolly, David, 2018. "Heat Roadmap Europe: Identifying local heat demand and supply areas with a European thermal atlas," Energy, Elsevier, vol. 158(C), pages 281-292.
    8. Nielsen, Steffen, 2014. "A geographic method for high resolution spatial heat planning," Energy, Elsevier, vol. 67(C), pages 351-362.
    9. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    10. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    11. Sandvall, Akram Fakhri & Ahlgren, Erik O. & Ekvall, Tomas, 2016. "System profitability of excess heat utilisation – A case-based modelling analysis," Energy, Elsevier, vol. 97(C), pages 424-434.
    12. Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
    13. Averfalk, Helge & Ingvarsson, Paul & Persson, Urban & Gong, Mei & Werner, Sven, 2017. "Large heat pumps in Swedish district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1275-1284.
    14. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    15. Jalil-Vega, Francisca & Hawkes, Adam D., 2018. "The effect of spatial resolution on outcomes from energy systems modelling of heat decarbonisation," Energy, Elsevier, vol. 155(C), pages 339-350.
    16. Moser, Simon & Puschnigg, Stefan & Rodin, Valerie, 2020. "Designing the Heat Merit Order to determine the value of industrial waste heat for district heating systems," Energy, Elsevier, vol. 200(C).
    17. Sahoo, Somadutta & van Stralen, Joost N.P. & Zuidema, Christian & Sijm, Jos & Yamu, Claudia & Faaij, André, 2022. "Regionalization of a national integrated energy system model: A case study of the northern Netherlands," Applied Energy, Elsevier, vol. 306(PB).
    18. Andreas Müller & Marcus Hummel & Lukas Kranzl & Mostafa Fallahnejad & Richard Büchele, 2019. "Open Source Data for Gross Floor Area and Heat Demand Density on the Hectare Level for EU 28," Energies, MDPI, vol. 12(24), pages 1-25, December.
    19. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
    20. Stennikov, Valery A. & Iakimetc, Ekaterina E., 2016. "Optimal planning of heat supply systems in urban areas," Energy, Elsevier, vol. 110(C), pages 157-165.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:190:y:2017:i:c:p:749-763. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.