Assessing district heating potential at large scale: Presentation and application of a spatially-detailed model to optimally match heat sources and demands

G. Spirito, A. Dénarié, F. Fattori, G. Muliere, M. Motta and U. Persson

Applied Energy, 2024, vol. 372, issue C, No S0306261924012273

Abstract: This paper presents a newly developed methodology aimed at assessing at national level the techno-economic potential of district heating (DH) based on renewables and excess heat sources. The novelty of the model lies in the use of an optimization approach to match heat demand and heat sources at large scale level, while keeping a high degree of spatial detail. Areas suitable for DH adoption are identified by minimizing heat delivery costs, and therefore by choosing the most economical technology between district heating and the alternative individual solution. The optimization approach, usually applicable at limited analytical scope because of the computational burden, is here adapted to large scale analysis through the introduction of novel methodological elements with which the network topology is simulated nationwide.

Keywords: District heating potential; Matching heat demand and sources; Optimization algorithm; Routing algorithm; GIS; Energy graph (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123844

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