Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China
The energy-saving retrofit (ESR) of existing buildings under the energy performance contracting (EPC) mode depends on the effective risk early warnings of energy service companies (ESCOs); therefore, this paper constructs an ESCO risk early warning model for energy-saving retrofit projects of existi...
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MDPI AG
2025-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/6/1390 |
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| author | Handing Guo Siman Jia Mingyu Wang Yinxian Zhang |
| author_facet | Handing Guo Siman Jia Mingyu Wang Yinxian Zhang |
| author_sort | Handing Guo |
| collection | DOAJ |
| description | The energy-saving retrofit (ESR) of existing buildings under the energy performance contracting (EPC) mode depends on the effective risk early warnings of energy service companies (ESCOs); therefore, this paper constructs an ESCO risk early warning model for energy-saving retrofit projects of existing buildings based on cloud matter element theory (CMET). The ESCO risk early warning indicator system is established according to the essential characteristics of ESR projects of existing buildings. The subjective weighting method (G1 method) and the objective weighting method (entropy weight method) are introduced to determine the comprehensive weights of ESCO risk early warning indicators. The ESCO risk warning level of ESR projects of existing buildings is evaluated based on the cloud matter element model concerning the randomness and ambiguity of the ESCO risk early warning indicators. Finally, the risk early warning model is applied to the ESCO risk management practice of an existing building ESR project in Tianjin. By comparing the actual project and the risk early warning model constructed in this paper, it is concluded that the model has high levels of feasibility, reasonableness, and efficiency. This model has scientific guidance value for ESCO enterprise risk control. |
| format | Article |
| id | doaj-art-8e59a596eb094c3e804bb528ef4aad9a |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-8e59a596eb094c3e804bb528ef4aad9a2025-08-20T02:42:38ZengMDPI AGEnergies1996-10732025-03-01186139010.3390/en18061390Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in ChinaHanding Guo0Siman Jia1Mingyu Wang2Yinxian Zhang3School of Civil Engineering, Sanjiang University, Nanjing 210012, ChinaSchool of Economic and Management, Tianjin Chengjian University, Tianjin 300384, ChinaResearch Center of Eco Liable City and Sustainable Construction Management, Tianjin Chengjian University, Tianjin 300384, ChinaResearch Center of Eco Liable City and Sustainable Construction Management, Tianjin Chengjian University, Tianjin 300384, ChinaThe energy-saving retrofit (ESR) of existing buildings under the energy performance contracting (EPC) mode depends on the effective risk early warnings of energy service companies (ESCOs); therefore, this paper constructs an ESCO risk early warning model for energy-saving retrofit projects of existing buildings based on cloud matter element theory (CMET). The ESCO risk early warning indicator system is established according to the essential characteristics of ESR projects of existing buildings. The subjective weighting method (G1 method) and the objective weighting method (entropy weight method) are introduced to determine the comprehensive weights of ESCO risk early warning indicators. The ESCO risk warning level of ESR projects of existing buildings is evaluated based on the cloud matter element model concerning the randomness and ambiguity of the ESCO risk early warning indicators. Finally, the risk early warning model is applied to the ESCO risk management practice of an existing building ESR project in Tianjin. By comparing the actual project and the risk early warning model constructed in this paper, it is concluded that the model has high levels of feasibility, reasonableness, and efficiency. This model has scientific guidance value for ESCO enterprise risk control.https://www.mdpi.com/1996-1073/18/6/1390energy-saving retrofit of existing buildingsenergy service companycloud matter element theoryintegrated empowermentrisk early warning |
| spellingShingle | Handing Guo Siman Jia Mingyu Wang Yinxian Zhang Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China Energies energy-saving retrofit of existing buildings energy service company cloud matter element theory integrated empowerment risk early warning |
| title | Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China |
| title_full | Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China |
| title_fullStr | Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China |
| title_full_unstemmed | Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China |
| title_short | Construction and Empirical Analysis of ESCO Risk Early Warning Model for Energy-Saving Retrofit Project of Existing Buildings Based on Cloud Matter Element Theory in China |
| title_sort | construction and empirical analysis of esco risk early warning model for energy saving retrofit project of existing buildings based on cloud matter element theory in china |
| topic | energy-saving retrofit of existing buildings energy service company cloud matter element theory integrated empowerment risk early warning |
| url | https://www.mdpi.com/1996-1073/18/6/1390 |
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