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

Jérémy Unternährer, Stefano Moret, Stéphane Joost and François Maréchal

Applied Energy, 2017, vol. 190, issue C, 749-763

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.

Keywords: Spatial clustering; Urban energy systems; District heating network; Optimization; Geographic Information Systems (GIS); Routing (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (42)

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DOI: 10.1016/j.apenergy.2016.12.136

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