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Evaluating Spatial Interdependencies of Sector Coupling Using Spatiotemporal Modelling

doi: 10.3390/en14051256
In light of global warming and the energy turn, sector coupling has gained increasing interest in recent years, from both the scientific community and politics. In the following article it is hypothesized that efficient multifaceted sector coupling solutions depend on detailed spatial and temporal characteristics of energy demand and supply. Hence, spatiotemporal modelling is used as a methodology of integrated spatial and energy planning, in order to determine favourable sector coupling strategies at the local level. A case study evaluation was carried out for both central and decentral renewable energy sources. Considering the high temporal resolutions of energy demand and supply, the results revealed a feasible operation of a district heating network in the central areas of the case study municipalities. Additionally, building integrated solar energy technologies are capable of providing large amount of excess energy that could serve other demand sectors, such as the mobility sector, or could be used for Power-to-X solutions. It is suggested that sector coupling strategies require spatial considerations and high temporal comparisons, in order to be reasonably integrated in spatial and urban planning.
Technology, integrated spatial and energy planning; energy system integration; district heating; smart energy systems; solar energy; wastewater heat recovery; excess energy, integrated spatial and energy planning, T, solar energy, smart energy systems, energy system integration, wastewater heat recovery, district heating
Technology, integrated spatial and energy planning; energy system integration; district heating; smart energy systems; solar energy; wastewater heat recovery; excess energy, integrated spatial and energy planning, T, solar energy, smart energy systems, energy system integration, wastewater heat recovery, district heating
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
