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Multiyear microgrid data from a research building in Tsukuba, Japan

Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research building...

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Detalles Bibliográficos
Autores principales: Vink, Karina, Ankyu, Eriko, Koyama, Michihisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383063/
https://www.ncbi.nlm.nih.gov/pubmed/30778254
http://dx.doi.org/10.1038/sdata.2019.20
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author Vink, Karina
Ankyu, Eriko
Koyama, Michihisa
author_facet Vink, Karina
Ankyu, Eriko
Koyama, Michihisa
author_sort Vink, Karina
collection PubMed
description Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research buildings. To enable modelling of the actual microgrid performance of a research environment, we present a multiyear dataset of a microgrid with solar arrays and a battery. The main energy datasets comprise data per second supplemented by hourly solar irradiation data. These may be combined with data concerning the hourly electricity prices from the main grid and the low-electricity-price periods of national holidays. The level of detail of the data per second in combination with the hourly data in these datasets allows for a comparison to the efficiency and weather-parameter correlation of other renewable energy technologies, as well as forecasting future energy generation and consumption.
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spelling pubmed-63830632019-02-22 Multiyear microgrid data from a research building in Tsukuba, Japan Vink, Karina Ankyu, Eriko Koyama, Michihisa Sci Data Data Descriptor Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research buildings. To enable modelling of the actual microgrid performance of a research environment, we present a multiyear dataset of a microgrid with solar arrays and a battery. The main energy datasets comprise data per second supplemented by hourly solar irradiation data. These may be combined with data concerning the hourly electricity prices from the main grid and the low-electricity-price periods of national holidays. The level of detail of the data per second in combination with the hourly data in these datasets allows for a comparison to the efficiency and weather-parameter correlation of other renewable energy technologies, as well as forecasting future energy generation and consumption. Nature Publishing Group 2019-02-19 /pmc/articles/PMC6383063/ /pubmed/30778254 http://dx.doi.org/10.1038/sdata.2019.20 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Vink, Karina
Ankyu, Eriko
Koyama, Michihisa
Multiyear microgrid data from a research building in Tsukuba, Japan
title Multiyear microgrid data from a research building in Tsukuba, Japan
title_full Multiyear microgrid data from a research building in Tsukuba, Japan
title_fullStr Multiyear microgrid data from a research building in Tsukuba, Japan
title_full_unstemmed Multiyear microgrid data from a research building in Tsukuba, Japan
title_short Multiyear microgrid data from a research building in Tsukuba, Japan
title_sort multiyear microgrid data from a research building in tsukuba, japan
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383063/
https://www.ncbi.nlm.nih.gov/pubmed/30778254
http://dx.doi.org/10.1038/sdata.2019.20
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