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Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems
The data describe supplementary materials supporting the research article entitled “Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates” (Mazzeo et al., 2020). Hybrid renewable energy syst...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666328/ https://www.ncbi.nlm.nih.gov/pubmed/33225026 http://dx.doi.org/10.1016/j.dib.2020.106476 |
_version_ | 1783610111191678976 |
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author | Mazzeo, Domenico Baglivo, Cristina Matera, Nicoletta De Luca, Pierangelo Congedo, Paolo Maria Oliveti, Giuseppe |
author_facet | Mazzeo, Domenico Baglivo, Cristina Matera, Nicoletta De Luca, Pierangelo Congedo, Paolo Maria Oliveti, Giuseppe |
author_sort | Mazzeo, Domenico |
collection | PubMed |
description | The data describe supplementary materials supporting the research article entitled “Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates” (Mazzeo et al., 2020). Hybrid renewable energy systems are increasingly adopted worldwide as technically and economically effective solutions to achieve energy decarbonization and greenhouse gas reduction targets. This data article includes the results of worldwide techno-economic optimization of stand-alone and grid-connected photovoltaic-wind hybrid renewable energy systems designed to meet the electrical energy needs of an office district. The technical simulations have been performed in TRNSYS 17 (Transient Energy System) environment. A total of 48 different locations around the world have been chosen across Köppen-Geiger climates with different latitudes and homogeneously distributed over the whole globe, considering very different climates. The analyses have been conducted for 343 different system power configurations, considering both stand-alone and grid-connected systems. A total of 16464 dynamic simulations were performed, summarized in yearly energy output from each component and in energy and economic indicators. |
format | Online Article Text |
id | pubmed-7666328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76663282020-11-20 Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems Mazzeo, Domenico Baglivo, Cristina Matera, Nicoletta De Luca, Pierangelo Congedo, Paolo Maria Oliveti, Giuseppe Data Brief Data Article The data describe supplementary materials supporting the research article entitled “Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates” (Mazzeo et al., 2020). Hybrid renewable energy systems are increasingly adopted worldwide as technically and economically effective solutions to achieve energy decarbonization and greenhouse gas reduction targets. This data article includes the results of worldwide techno-economic optimization of stand-alone and grid-connected photovoltaic-wind hybrid renewable energy systems designed to meet the electrical energy needs of an office district. The technical simulations have been performed in TRNSYS 17 (Transient Energy System) environment. A total of 48 different locations around the world have been chosen across Köppen-Geiger climates with different latitudes and homogeneously distributed over the whole globe, considering very different climates. The analyses have been conducted for 343 different system power configurations, considering both stand-alone and grid-connected systems. A total of 16464 dynamic simulations were performed, summarized in yearly energy output from each component and in energy and economic indicators. Elsevier 2020-11-01 /pmc/articles/PMC7666328/ /pubmed/33225026 http://dx.doi.org/10.1016/j.dib.2020.106476 Text en © 2020 The Author(s) http://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 Mazzeo, Domenico Baglivo, Cristina Matera, Nicoletta De Luca, Pierangelo Congedo, Paolo Maria Oliveti, Giuseppe Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title | Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title_full | Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title_fullStr | Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title_full_unstemmed | Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title_short | Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
title_sort | energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666328/ https://www.ncbi.nlm.nih.gov/pubmed/33225026 http://dx.doi.org/10.1016/j.dib.2020.106476 |
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