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Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys

Approximately 20% of all school facilities, i.e., 7,980 buildings, are at least 40 years old in Korea. As the number of aged buildings is expected to rapidly increase, it is necessary to improve such facilities to protect safe learning environments and save energy. This study aims to develop the ene...

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Autores principales: Park, Beungyong, Kang, Byeong-Un, Park, Doo-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562338/
https://www.ncbi.nlm.nih.gov/pubmed/36247158
http://dx.doi.org/10.1016/j.heliyon.2022.e10958
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author Park, Beungyong
Kang, Byeong-Un
Park, Doo-Yong
author_facet Park, Beungyong
Kang, Byeong-Un
Park, Doo-Yong
author_sort Park, Beungyong
collection PubMed
description Approximately 20% of all school facilities, i.e., 7,980 buildings, are at least 40 years old in Korea. As the number of aged buildings is expected to rapidly increase, it is necessary to improve such facilities to protect safe learning environments and save energy. This study aims to develop the energy based benchmark model (EBBM) and utilization for energy saving in school. EBBM can be operated for school buildings, a category encompassing complex buildings with different systems and large gaps between them. To utilization of EBBM allows us to obtain knowledge from the school facility, in order to define and tune data driven analysis rules. Data driven energy analysis also allows ascertaining their expected energy consumption and estimating the possible saving systems by using the building energy flow chart. In this research, Korea education data-base was analyzed to classify energy based benchmark model. Applicability review is conducted through detailed system analysis of 10 schools. The difference between the benchmark model calculated value and the actual value was confirmed to be within 10%. Through the benchmarking model, it is possible to compare energy consumption for buildings of different sizes. Energy consumption by energy source and room type was analyzed through an in-depth status survey. Most of School Classrooms consume the largest amount of energy, with cooling and heating energy constituting the largest proportion.
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spelling pubmed-95623382022-10-15 Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys Park, Beungyong Kang, Byeong-Un Park, Doo-Yong Heliyon Research Article Approximately 20% of all school facilities, i.e., 7,980 buildings, are at least 40 years old in Korea. As the number of aged buildings is expected to rapidly increase, it is necessary to improve such facilities to protect safe learning environments and save energy. This study aims to develop the energy based benchmark model (EBBM) and utilization for energy saving in school. EBBM can be operated for school buildings, a category encompassing complex buildings with different systems and large gaps between them. To utilization of EBBM allows us to obtain knowledge from the school facility, in order to define and tune data driven analysis rules. Data driven energy analysis also allows ascertaining their expected energy consumption and estimating the possible saving systems by using the building energy flow chart. In this research, Korea education data-base was analyzed to classify energy based benchmark model. Applicability review is conducted through detailed system analysis of 10 schools. The difference between the benchmark model calculated value and the actual value was confirmed to be within 10%. Through the benchmarking model, it is possible to compare energy consumption for buildings of different sizes. Energy consumption by energy source and room type was analyzed through an in-depth status survey. Most of School Classrooms consume the largest amount of energy, with cooling and heating energy constituting the largest proportion. Elsevier 2022-10-05 /pmc/articles/PMC9562338/ /pubmed/36247158 http://dx.doi.org/10.1016/j.heliyon.2022.e10958 Text en © 2022 The Authors. Published by Elsevier Ltd. 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 Research Article
Park, Beungyong
Kang, Byeong-Un
Park, Doo-Yong
Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title_full Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title_fullStr Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title_full_unstemmed Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title_short Developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
title_sort developing energy based benchmark model and detailed energy analysis through school statistical data and field surveys
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562338/
https://www.ncbi.nlm.nih.gov/pubmed/36247158
http://dx.doi.org/10.1016/j.heliyon.2022.e10958
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