Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions

In order to effectively develop the benefit evaluation model of prefabricated houses in seasonal frozen soil areas, and improve the comprehensive benefits of prefabricated buildings, this paper proposes a life cycle benefit evaluation model for prefabricated buildings in seasonally frozen regions. A...

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Autores principales: Qianqian Zhao, Junzhen Li, Roman Fediuk, Sergey Klyuev, Darya Nemova
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0e4a97062434485497006d63ff513fa0
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spelling oai:doaj.org-article:0e4a97062434485497006d63ff513fa02021-11-11T15:54:45ZBenefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions10.3390/en142171191996-1073https://doaj.org/article/0e4a97062434485497006d63ff513fa02021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7119https://doaj.org/toc/1996-1073In order to effectively develop the benefit evaluation model of prefabricated houses in seasonal frozen soil areas, and improve the comprehensive benefits of prefabricated buildings, this paper proposes a life cycle benefit evaluation model for prefabricated buildings in seasonally frozen regions. According to the climatic characteristics of the area, the impact of the seasonally frozen regions is listed as an evaluation index in the construction stage for comprehensive analysis. The 16 indicators that affect the comprehensive benefits of prefabricated buildings are grouped by the nearest neighbor element analysis method. Fuzzy cluster analysis and analytic hierarchy process are used to filter out the most influential index group to calculate the index weight. Then the model proposed in this paper is compared with the existing model to test the validity of the model. The research results show that research and development costs weight is 0.23, design cost weight is 0.10, construction cost weight is 0.22, resource consumption weight is 0.25, building demolition cost weight is 0.04, and seasonal freezing effect weight is 0.16. The calculation result passed the consistency test and the expert scoring result conformed to the normal distribution, which proved the accuracy of the conclusion. It is proposed that the calculation result of the comprehensive benefit score of the model is 1.8% lower than the previous results, which proves the validity of the model. The model can speed up the efficiency of comprehensive benefit evaluation of prefabricated buildings thereby improving the development level of prefabricated buildings.Qianqian ZhaoJunzhen LiRoman FediukSergey KlyuevDarya NemovaMDPI AGarticleprefabricated buildingnumerical modelswhole life cycleanalytic hierarchy process (AHP)TechnologyTENEnergies, Vol 14, Iss 7119, p 7119 (2021)
institution DOAJ
collection DOAJ
language EN
topic prefabricated building
numerical models
whole life cycle
analytic hierarchy process (AHP)
Technology
T
spellingShingle prefabricated building
numerical models
whole life cycle
analytic hierarchy process (AHP)
Technology
T
Qianqian Zhao
Junzhen Li
Roman Fediuk
Sergey Klyuev
Darya Nemova
Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
description In order to effectively develop the benefit evaluation model of prefabricated houses in seasonal frozen soil areas, and improve the comprehensive benefits of prefabricated buildings, this paper proposes a life cycle benefit evaluation model for prefabricated buildings in seasonally frozen regions. According to the climatic characteristics of the area, the impact of the seasonally frozen regions is listed as an evaluation index in the construction stage for comprehensive analysis. The 16 indicators that affect the comprehensive benefits of prefabricated buildings are grouped by the nearest neighbor element analysis method. Fuzzy cluster analysis and analytic hierarchy process are used to filter out the most influential index group to calculate the index weight. Then the model proposed in this paper is compared with the existing model to test the validity of the model. The research results show that research and development costs weight is 0.23, design cost weight is 0.10, construction cost weight is 0.22, resource consumption weight is 0.25, building demolition cost weight is 0.04, and seasonal freezing effect weight is 0.16. The calculation result passed the consistency test and the expert scoring result conformed to the normal distribution, which proved the accuracy of the conclusion. It is proposed that the calculation result of the comprehensive benefit score of the model is 1.8% lower than the previous results, which proves the validity of the model. The model can speed up the efficiency of comprehensive benefit evaluation of prefabricated buildings thereby improving the development level of prefabricated buildings.
format article
author Qianqian Zhao
Junzhen Li
Roman Fediuk
Sergey Klyuev
Darya Nemova
author_facet Qianqian Zhao
Junzhen Li
Roman Fediuk
Sergey Klyuev
Darya Nemova
author_sort Qianqian Zhao
title Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
title_short Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
title_full Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
title_fullStr Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
title_full_unstemmed Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions
title_sort benefit evaluation model of prefabricated buildings in seasonally frozen regions
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0e4a97062434485497006d63ff513fa0
work_keys_str_mv AT qianqianzhao benefitevaluationmodelofprefabricatedbuildingsinseasonallyfrozenregions
AT junzhenli benefitevaluationmodelofprefabricatedbuildingsinseasonallyfrozenregions
AT romanfediuk benefitevaluationmodelofprefabricatedbuildingsinseasonallyfrozenregions
AT sergeyklyuev benefitevaluationmodelofprefabricatedbuildingsinseasonallyfrozenregions
AT daryanemova benefitevaluationmodelofprefabricatedbuildingsinseasonallyfrozenregions
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