Sökning: (WFRF:(Motta Fabrizio))
> (2024) >
Assessing district ...
Assessing district heating potential at large scale : Presentation and application of a spatially-detailed model to optimally match heat sources and demands
-
- Spirito, Giulia (författare)
- Department of Energy, Politecnico di Milano, Italy
-
- Dénarié, Alice (författare)
- Department of Energy, Politecnico di Milano, Italy
-
- Fattori, Fabrizio (författare)
- Dipartimento di Scienze Teoriche e Applicate, Universit`a degli Studi dell'Insubria, Varese, Italy
-
visa fler...
-
- Muliere, G. (författare)
- Department of Energy, Politecnico di Milano, Italy
-
- Motta, M. (författare)
- Department of Energy, Politecnico di Milano, Italy
-
- Persson, Urban, Dr. 1961- (författare)
- Högskolan i Halmstad,Akademin för företagande, innovation och hållbarhet
-
visa färre...
-
(creator_code:org_t)
- Oxford : Elsevier, 2024
- 2024
- Engelska.
-
Ingår i: Applied Energy. - Oxford : Elsevier. - 0306-2619 .- 1872-9118. ; 372
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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. The methodology applies to preliminarily identified maps of available heat sources and eligible heat demand, with the quantification of the latter including retrofitting and low connection rate scenarios. It then consists in two steps: connecting elements in a graph through triangulation and routing algorithms and optimizing connections to minimize the overall heat delivery costs, either by adopting district heating or individual heating systems. The whole methodology is based on open-source data and tools for broad applicability. The paper presents the elaborated methodology together with the application of the entire model to Italy. The outcome is a map of the potential district heating systems identified with significant spatial detail nationwide. A four-fold expansion is envisaged, covering 12% of the national heat demand with renewables- and excess heat- based district heating. © 2024 The Authors. Published by Elsevier Ltd.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
Nyckelord
- District heating potential
- Matching heat demand and sources
- Optimization algorithm
- Routing algorithm
- GIS
- Energy graph
- Smart Cities and Communities
- Smarta städer och samhällen
- PROACTS
- PROACTS
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas