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Modified exergoeconomic analysis method based on energy level with reliability consideration: Cost allocations in a biomass trigeneration system

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  • Wang, Jiangjiang
  • Li, Meng
  • Ren, Fukang
  • Li, Xiaojing
  • Liu, Boxiang

Abstract

This paper proposes a modified exergoeconomic method based on energy level with reliability considerations to analyze the cost allocations in a biomass trigeneration system. Energy level is introduced to the exeregoeconomic method to agree with the principle of high energy level with high cost. The system reliability and availability using the combination of state-space and the Markov method is incorporated in the exergoeconomic method to analyze the cost changes for three products in the trigeneration system. The cost influences of failure rate, repair rate, biomass cost and annual operation time are examined to reveal the cost variations with reliability considerations. The cost allocation and sensitivity analysis are presented in a case study. The results indicate that the failure and repair rates of the gasification system largely influences the cost of products from the electricity generation system and the cooling system. The specific exergy cost of the three products with reliability consideration increases approximately 16%. The reduced operation uptime due to component's or subsystem's failure is the key parameter to decrease the revenue at the certain investment and increase the risk cost.

Suggested Citation

  • Wang, Jiangjiang & Li, Meng & Ren, Fukang & Li, Xiaojing & Liu, Boxiang, 2018. "Modified exergoeconomic analysis method based on energy level with reliability consideration: Cost allocations in a biomass trigeneration system," Renewable Energy, Elsevier, vol. 123(C), pages 104-116.
    • Handle: RePEc:eee:renene:v:123:y:2018:i:c:p:104-116
    DOI: 10.1016/j.renene.2018.02.040
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    5. Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2021. "Exergo-environmental cost optimization of a combined cooling, heating and power system using the emergy concept and equivalent emissions as ecological boundary," Energy, Elsevier, vol. 233(C).
    6. Sonja Kallio & Monica Siroux, 2023. "Exergy and Exergy-Economic Approach to Evaluate Hybrid Renewable Energy Systems in Buildings," Energies, MDPI, vol. 16(3), pages 1-22, January.
    7. Chen, Yuzhu & Wang, Jiangjiang & Ma, Chaofan & Gao, Yuefen, 2019. "Thermo-ecological cost assessment and optimization for a hybrid combined cooling, heating and power system coupled with compound parabolic concentrated-photovoltaic thermal solar collectors," Energy, Elsevier, vol. 176(C), pages 479-492.
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