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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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) |
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prefabricated building numerical models whole life cycle analytic hierarchy process (AHP) Technology T |
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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 |
_version_ |
1718432836959076352 |