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Multi-criteria assessment of building combined heat and power systems located in different climate zones: Japan–China comparison

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  • Wu, Qiong
  • Ren, Hongbo
  • Gao, Weijun
  • Ren, Jianxing

Abstract

As one of the effective measures to cope with the continually increasing energy consumption in the building sector, BCHP (building combined heat and power) systems have been paid great attention in both developed and developing countries. To understand the overall benefits of a BCHP system, comprehensive assessment of system performances is necessary. In this study, a multi-criteria assessment model has been developed by combining the improved GRA (gray relation analysis) approach and the AHP (analytic hierarchy process) method. As an illustrative example, two building categories located in different climate zones in both Japan and China have been selected for analysis. In this way, the influences of climate condition, building type as well as market data on the introduction of BCHP systems have been examined. According to the simulation results, the BCHP systems in Japan achieve more benefits than that in China; and the rank of regions for the same building type may vary in different cases for both countries. In addition, the coldest region always enjoys the best overall performance, followed by the hottest zone and mild climate zones in Japan; on the other hand, the influence of climate condition on the performance of BCHP systems in China is inexplicit.

Suggested Citation

  • Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing, 2016. "Multi-criteria assessment of building combined heat and power systems located in different climate zones: Japan–China comparison," Energy, Elsevier, vol. 103(C), pages 502-512.
  • Handle: RePEc:eee:energy:v:103:y:2016:i:c:p:502-512
    DOI: 10.1016/j.energy.2016.02.156
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    Cited by:

    1. Jiang, Meihui & An, Haizhong & Jia, Xiaoliang & Sun, Xiaoqi, 2017. "The influence of global benchmark oil prices on the regional oil spot market in multi-period evolution," Energy, Elsevier, vol. 118(C), pages 742-752.
    2. Dong, Xiangxiang & Wu, Jiang & Xu, Zhanbo & Liu, Kun & Guan, Xiaohong, 2022. "Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage," Applied Energy, Elsevier, vol. 308(C).
    3. Malkawi, Salaheddin & Al-Nimr, Moh'd & Azizi, Danah, 2017. "A multi-criteria optimization analysis for Jordan's energy mix," Energy, Elsevier, vol. 127(C), pages 680-696.
    4. Xiaolong Yang & Yan Li & Dongxiao Niu & Lijie Sun, 2019. "Research on the Economic Benefit Evaluation of Combined Heat and Power (CHP) Technical Renovation Projects Based on the Improved Factor Analysis and Incremental Method in China," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    5. Ma, Xuejiao & Wang, Yong & Wang, Chen, 2017. "Low-carbon development of China's thermal power industry based on an international comparison: Review, analysis and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 942-970.
    6. Pang, Kang Ying & Liew, Peng Yen & Woon, Kok Sin & Ho, Wai Shin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2023. "Multi-period multi-objective optimisation model for multi-energy urban-industrial symbiosis with heat, cooling, power and hydrogen demands," Energy, Elsevier, vol. 262(PA).
    7. Santoso Wibowo & Srimannarayana Grandhi, 2018. "Multicriteria Assessment of Combined Heat and Power Systems," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
    8. Jing, Rui & Wang, Meng & Liang, Hao & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2018. "Multi-objective optimization of a neighborhood-level urban energy network: Considering Game-theory inspired multi-benefit allocation constraints," Applied Energy, Elsevier, vol. 231(C), pages 534-548.
    9. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems," Energy, Elsevier, vol. 144(C), pages 472-481.
    10. Jing, Rui & Wang, Meng & Brandon, Nigel & Zhao, Yingru, 2017. "Multi-criteria evaluation of solid oxide fuel cell based combined cooling heating and power (SOFC-CCHP) applications for public buildings in China," Energy, Elsevier, vol. 141(C), pages 273-289.
    11. Duan, Haiyan & Chen, Siyan & Song, Junnian, 2022. "Characterizing regional building energy consumption under joint climatic and socioeconomic impacts," Energy, Elsevier, vol. 245(C).
    12. Khuram Pervez Amber & Antony R. Day & Naeem Iqbal Ratyal & Rizwan Ahmad & Muhammad Amar, 2018. "The Significance of a Building’s Energy Consumption Profiles for the Optimum Sizing of a Combined Heat and Power (CHP) System—A Case Study for a Student Residence Hall," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    13. Khuram Pervez Amber & Tony Day & Naeem Iqbal Ratyal & Adnan Khalid Kiani & Rizwan Ahmad, 2018. "Techno, Economic and Environmental Assessment of a Combined Heat and Power (CHP) System—A Case Study for a University Campus," Energies, MDPI, vol. 11(5), pages 1-18, May.
    14. Ren, Hongbo & Wu, Qiong & Zhu, Qunzhi & Gao, Weijun, 2019. "Cost–benefit analysis of distributed energy systems considering multi-benefits and multi-stakeholders," Energy, Elsevier, vol. 189(C).
    15. Liu, Jinhui & Xu, Zhanbo & Wu, Jiang & Liu, Kun & Guan, Xiaohong, 2021. "Optimal planning of distributed hydrogen-based multi-energy systems," Applied Energy, Elsevier, vol. 281(C).
    16. Xiaolin Chu & Dong Yang & Jia Li, 2019. "Sustainability Assessment of Combined Cooling, Heating, and Power Systems under Carbon Emission Regulations," Sustainability, MDPI, vol. 11(21), pages 1-17, October.

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