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Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions

Author

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  • Qianqian Zhao

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, No. 59 Timber East Street, Harbin 150006, China)

  • Junzhen Li

    (School of Economics and Management, Harbin Institute of Technology, Weihai, No. 2 Wenhua West Road, Weihai 264200, China)

  • Roman Fediuk

    (Polytechnic Institute, Far Eastern Federal University, 690922 Vladivostok, Russia)

  • Sergey Klyuev

    (Department of Theoretical Mechanics and Strength of Materials, Belgorod State Technological University Named after V.G. Shukhov, 308012 Belgorod, Russia)

  • Darya Nemova

    (Institute of Civil Engineering, Peter the Great Saint Petersburg Polytechnic University, 195251 Saint Petersburg, Russia)

Abstract

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.

Suggested Citation

  • Qianqian Zhao & Junzhen Li & Roman Fediuk & Sergey Klyuev & Darya Nemova, 2021. "Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions," Energies, MDPI, vol. 14(21), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7119-:d:669691
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    References listed on IDEAS

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    1. Anatolijs Borodinecs & Arturs Palcikovskis & Vladislavs Jacnevs, 2022. "Indoor Air CO 2 Sensors and Possible Uncertainties of Measurements: A Review and an Example of Practical Measurements," Energies, MDPI, vol. 15(19), pages 1-15, September.

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