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Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK

Assessing grid capacity on national and local levels is important in order to formulate renewable energy targets, calculate integration costs of distributed generation (such as residential solar PV and electric vehicles). Currently, 70–96% of the residential solar PV installations in Germany and Ita...

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Autores principales: Hartvigsson, Elias, Odenberger, Mikael, Chen, Peiyuan, Nyholm, Emil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086020/
https://www.ncbi.nlm.nih.gov/pubmed/33981814
http://dx.doi.org/10.1016/j.dib.2021.107005
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author Hartvigsson, Elias
Odenberger, Mikael
Chen, Peiyuan
Nyholm, Emil
author_facet Hartvigsson, Elias
Odenberger, Mikael
Chen, Peiyuan
Nyholm, Emil
author_sort Hartvigsson, Elias
collection PubMed
description Assessing grid capacity on national and local levels is important in order to formulate renewable energy targets, calculate integration costs of distributed generation (such as residential solar PV and electric vehicles). Currently, 70–96% of the residential solar PV installations in Germany and Italy are found in the low-voltage grid. Previous grid assessments have relied on grid data from individual low-voltage grids, making them limited to a few cases. This article presents synthetic low-voltage grid data from a reference network model. The reference network model generates synthetic low-voltage grids using publicly available data and national regulations and standards. In addition, the article presents data of residential solar photovoltaic hosting capacity in low-voltage grids. The datasets are high-resolution (1 × 1 km) and contains data on electricity peak demand, share of population living in apartments and important grid metrics such as transformer capacity, maximum feeder length and estimations of residential solar photovoltaic hosting capacity. Datasets on grid components are rare and the dataset can be used to assess grid impacts from other residential end-use technologies, and function as baseline for other reference network models.
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spelling pubmed-80860202021-05-11 Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK Hartvigsson, Elias Odenberger, Mikael Chen, Peiyuan Nyholm, Emil Data Brief Data Article Assessing grid capacity on national and local levels is important in order to formulate renewable energy targets, calculate integration costs of distributed generation (such as residential solar PV and electric vehicles). Currently, 70–96% of the residential solar PV installations in Germany and Italy are found in the low-voltage grid. Previous grid assessments have relied on grid data from individual low-voltage grids, making them limited to a few cases. This article presents synthetic low-voltage grid data from a reference network model. The reference network model generates synthetic low-voltage grids using publicly available data and national regulations and standards. In addition, the article presents data of residential solar photovoltaic hosting capacity in low-voltage grids. The datasets are high-resolution (1 × 1 km) and contains data on electricity peak demand, share of population living in apartments and important grid metrics such as transformer capacity, maximum feeder length and estimations of residential solar photovoltaic hosting capacity. Datasets on grid components are rare and the dataset can be used to assess grid impacts from other residential end-use technologies, and function as baseline for other reference network models. Elsevier 2021-04-06 /pmc/articles/PMC8086020/ /pubmed/33981814 http://dx.doi.org/10.1016/j.dib.2021.107005 Text en © 2021 The Author(s). Published by Elsevier Inc. 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 Data Article
Hartvigsson, Elias
Odenberger, Mikael
Chen, Peiyuan
Nyholm, Emil
Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title_full Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title_fullStr Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title_full_unstemmed Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title_short Dataset for generating synthetic residential low-voltage grids in Sweden, Germany and the UK
title_sort dataset for generating synthetic residential low-voltage grids in sweden, germany and the uk
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086020/
https://www.ncbi.nlm.nih.gov/pubmed/33981814
http://dx.doi.org/10.1016/j.dib.2021.107005
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