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Using the max-p regions problem algorithm to define regions for energy system modelling

The input data of energy system models are, in many cases, aggregated data used to represent regions of interest. This paper presents a method of using energy-related spatial data and the max-p-regions method to define regions. The method aims to assign areas to regions that are similar in how much...

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Detalles Bibliográficos
Autor principal: Fleischer, Christian Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374210/
https://www.ncbi.nlm.nih.gov/pubmed/34434734
http://dx.doi.org/10.1016/j.mex.2021.101211
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author Fleischer, Christian Etienne
author_facet Fleischer, Christian Etienne
author_sort Fleischer, Christian Etienne
collection PubMed
description The input data of energy system models are, in many cases, aggregated data used to represent regions of interest. This paper presents a method of using energy-related spatial data and the max-p-regions method to define regions. The method aims to assign areas to regions that are similar in how much they consume, produce and store electricity. • A spatial dataset of administrative areas for 30 European countries is presented and used to apply the proposed method. • Use of energy-related spatial data to define regions of energy system model. • The method uses the heuristic solution of the max-p regions problem to reduce the spatial resolution of energy system models.
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spelling pubmed-83742102021-08-24 Using the max-p regions problem algorithm to define regions for energy system modelling Fleischer, Christian Etienne MethodsX Method Article The input data of energy system models are, in many cases, aggregated data used to represent regions of interest. This paper presents a method of using energy-related spatial data and the max-p-regions method to define regions. The method aims to assign areas to regions that are similar in how much they consume, produce and store electricity. • A spatial dataset of administrative areas for 30 European countries is presented and used to apply the proposed method. • Use of energy-related spatial data to define regions of energy system model. • The method uses the heuristic solution of the max-p regions problem to reduce the spatial resolution of energy system models. Elsevier 2021-01-06 /pmc/articles/PMC8374210/ /pubmed/34434734 http://dx.doi.org/10.1016/j.mex.2021.101211 Text en © 2021 The Author. Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Fleischer, Christian Etienne
Using the max-p regions problem algorithm to define regions for energy system modelling
title Using the max-p regions problem algorithm to define regions for energy system modelling
title_full Using the max-p regions problem algorithm to define regions for energy system modelling
title_fullStr Using the max-p regions problem algorithm to define regions for energy system modelling
title_full_unstemmed Using the max-p regions problem algorithm to define regions for energy system modelling
title_short Using the max-p regions problem algorithm to define regions for energy system modelling
title_sort using the max-p regions problem algorithm to define regions for energy system modelling
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374210/
https://www.ncbi.nlm.nih.gov/pubmed/34434734
http://dx.doi.org/10.1016/j.mex.2021.101211
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