Cargando…
Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data
In response to global warming, researchers worldwide are actively investigating various techniques and institutional frameworks to reduce the emission of greenhouse gases. Despite numerous life cycle assessment (LCA) studies indicating that global warming effects due to lifetime energy consumption a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918469/ https://www.ncbi.nlm.nih.gov/pubmed/36765064 http://dx.doi.org/10.1038/s41598-023-29142-6 |
_version_ | 1784886615678648320 |
---|---|
author | Kim, Hyunsik Lim, Hyojin Kim, Jeonghwan Roh, Seungjun |
author_facet | Kim, Hyunsik Lim, Hyojin Kim, Jeonghwan Roh, Seungjun |
author_sort | Kim, Hyunsik |
collection | PubMed |
description | In response to global warming, researchers worldwide are actively investigating various techniques and institutional frameworks to reduce the emission of greenhouse gases. Despite numerous life cycle assessment (LCA) studies indicating that global warming effects due to lifetime energy consumption are the greatest in the building operation stage, the absence of a standard global warming potential (GWP) report based on building energy usage makes it difficult to examine realistic GWP reduction directions. In South Korea, energy data for numerous buildings were collected through the Building Energy Efficiency Certification (BEEC) for several years, with data from apartment buildings receiving the most attention. GWP emissions were evaluated using the data through Green Standard for Energy and Environmental Design LCA. Here, we developed a model for apartment buildings to assess mutual propriety for GWP emissions (E) and energy effective area ratio (R(E)) during building operation to support the reduction of GWP emissions caused by lifetime operational energy consumption resulting from planning and design. We collected apartment BEEC data and used them to calculate the energy effective area ratio and GWP emissions of each building, which were then classified by energy use and source. Linear regression analysis was performed between R(E) and E for each classification, and the derived regression equation was developed as a GWP assessment model for apartments. The applicability of the proposed model was examined through a case study, which confirmed that the model can be used to determine design directions for reducing GWP emissions for every energy in apartments. |
format | Online Article Text |
id | pubmed-9918469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99184692023-02-12 Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data Kim, Hyunsik Lim, Hyojin Kim, Jeonghwan Roh, Seungjun Sci Rep Article In response to global warming, researchers worldwide are actively investigating various techniques and institutional frameworks to reduce the emission of greenhouse gases. Despite numerous life cycle assessment (LCA) studies indicating that global warming effects due to lifetime energy consumption are the greatest in the building operation stage, the absence of a standard global warming potential (GWP) report based on building energy usage makes it difficult to examine realistic GWP reduction directions. In South Korea, energy data for numerous buildings were collected through the Building Energy Efficiency Certification (BEEC) for several years, with data from apartment buildings receiving the most attention. GWP emissions were evaluated using the data through Green Standard for Energy and Environmental Design LCA. Here, we developed a model for apartment buildings to assess mutual propriety for GWP emissions (E) and energy effective area ratio (R(E)) during building operation to support the reduction of GWP emissions caused by lifetime operational energy consumption resulting from planning and design. We collected apartment BEEC data and used them to calculate the energy effective area ratio and GWP emissions of each building, which were then classified by energy use and source. Linear regression analysis was performed between R(E) and E for each classification, and the derived regression equation was developed as a GWP assessment model for apartments. The applicability of the proposed model was examined through a case study, which confirmed that the model can be used to determine design directions for reducing GWP emissions for every energy in apartments. Nature Publishing Group UK 2023-02-10 /pmc/articles/PMC9918469/ /pubmed/36765064 http://dx.doi.org/10.1038/s41598-023-29142-6 Text en © The Author(s) 2023 https://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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kim, Hyunsik Lim, Hyojin Kim, Jeonghwan Roh, Seungjun Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title | Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title_full | Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title_fullStr | Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title_full_unstemmed | Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title_short | Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data |
title_sort | propriety assessment model for life cycle operational global warming potential of apartment buildings in korea using energy efficiency and energy effective area data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918469/ https://www.ncbi.nlm.nih.gov/pubmed/36765064 http://dx.doi.org/10.1038/s41598-023-29142-6 |
work_keys_str_mv | AT kimhyunsik proprietyassessmentmodelforlifecycleoperationalglobalwarmingpotentialofapartmentbuildingsinkoreausingenergyefficiencyandenergyeffectiveareadata AT limhyojin proprietyassessmentmodelforlifecycleoperationalglobalwarmingpotentialofapartmentbuildingsinkoreausingenergyefficiencyandenergyeffectiveareadata AT kimjeonghwan proprietyassessmentmodelforlifecycleoperationalglobalwarmingpotentialofapartmentbuildingsinkoreausingenergyefficiencyandenergyeffectiveareadata AT rohseungjun proprietyassessmentmodelforlifecycleoperationalglobalwarmingpotentialofapartmentbuildingsinkoreausingenergyefficiencyandenergyeffectiveareadata |