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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8374210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fleischerchristianetienne usingthemaxpregionsproblemalgorithmtodefineregionsforenergysystemmodelling |