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Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China

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  • Wang, Jiang-Jiang
  • Xu, Zi-Long
  • Jin, Hong-Guang
  • Shi, Guo-hua
  • Fu, Chao
  • Yang, Kun

Abstract

Biomass gasification based building cooling, heating, and power (BCHP) system is an effective way of increasing and improving the use of biomass resources and distributed generation. The key step in designing a BCHP plant is to determine the best configuration in terms of the integrated performance from energy, economic and environment. This paper analyzes the configuration and operation strategy of the biomass gasification based BCHP system and proposes an integrated optimization design model combined a case study in Harbin, China. The configuration of the biomass BCHP system with thermal storage unit and hybrid cooling system is optimized to minimize the annual total cost (ATC) by the genetic algorithm (GA). Then, the energetic, economic, and environmental performances of the BCHP system are compared to the separation production (SP) system. The optimal results for the case study indicate that the optimal biomass gasification based BCHP system saves 45.4% ATC and reduces 90.4% CO2 emission than the SP system. Finally, the contour-surfaces of ATC changed with the capacity configuration are obtained, and the validation and error analysis of the optimization model are verified. The results show that the error of the optimization ATC is only 0.00041% and the optimization speed of this optimization model is 12.4 times than that of the general cycle calculation.

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  • Wang, Jiang-Jiang & Xu, Zi-Long & Jin, Hong-Guang & Shi, Guo-hua & Fu, Chao & Yang, Kun, 2014. "Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 71(C), pages 572-583.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:572-583
    DOI: 10.1016/j.renene.2014.06.016
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    Cited by:

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    7. Li, Xian & Kan, Xiang & Sun, Xiangyu & Zhao, Yao & Ge, Tianshu & Dai, Yanjun & Wang, Chi-Hwa, 2019. "Performance analysis of a biomass gasification-based CCHP system integrated with variable-effect LiBr-H2O absorption cooling and desiccant dehumidification," Energy, Elsevier, vol. 176(C), pages 961-979.
    8. Segurado, R. & Pereira, S. & Correia, D. & Costa, M., 2019. "Techno-economic analysis of a trigeneration system based on biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 501-514.
    9. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    10. Zhang, Dong & Zheng, Yu & Wu, Jianghao & Li, Bingyang & Li, Jinping, 2020. "Annual energy characteristics and thermodynamic evaluation of combined heating, power and biogas system in cold rural area of Northwest China," Energy, Elsevier, vol. 192(C).
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    12. Ren, Hongbo & Wu, Qiong & Li, Qifen & Yang, Yongwen, 2020. "Optimal design and management of distributed energy network considering both efficiency and fairness," Energy, Elsevier, vol. 213(C).
    13. Xin Zhao & Yanqi Chen & Gang Xu & Heng Chen, 2022. "Economic Assessment of Operation Strategies on Park-Level Integrated Energy System Coupled with Biogas: A Case Study in a Sewage Treatment Plant," Energies, MDPI, vol. 16(1), pages 1-21, December.
    14. Zhang, Yin & Wang, Xin & Zhuo, Siwen & Zhang, Yinping, 2016. "Pre-feasibility of building cooling heating and power system with thermal energy storage considering energy supply–demand mismatch," Applied Energy, Elsevier, vol. 167(C), pages 125-134.
    15. Jie, Pengfei & Zhao, Wanyue & Yan, Fuchun & Man, Xiaoxin & Liu, Chunhua, 2022. "Economic, energetic and environmental optimization of hybrid biomass gasification-based combined cooling, heating and power system based on an improved operating strategy," Energy, Elsevier, vol. 240(C).
    16. Li, Longxi & Mu, Hailin & Li, Nan & Li, Miao, 2016. "Economic and environmental optimization for distributed energy resource systems coupled with district energy networks," Energy, Elsevier, vol. 109(C), pages 947-960.
    17. Wang, Jiangjiang & Yang, Ying & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Life cycle assessment (LCA) optimization of solar-assisted hybrid CCHP system," Applied Energy, Elsevier, vol. 146(C), pages 38-52.
    18. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    19. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Shi, Xing, 2019. "Ineffectiveness of optimization algorithms in building energy optimization and possible causes," Renewable Energy, Elsevier, vol. 134(C), pages 1295-1306.
    20. Zhao Luo & Wei Gu & Yong Sun & Xiang Yin & Yiyuan Tang & Xiaodong Yuan, 2016. "Performance Analysis of the Combined Operation of Interconnected-BCCHP Microgrids in China," Sustainability, MDPI, vol. 8(10), pages 1-20, September.

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