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Thermodynamics analysis of a biomass co-gasification based combined cooling, heating and power system

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  • Yin, Zhiqiang
  • Yang, Jinyu
  • Feng, Yingsong
  • Ma, Zherui
  • Wang, Jiangjiang
  • Liu, Qibin

Abstract

A novel biomass co-gasification-based combined cooling, heating, and power (CCHP) system was proposed. Integrating biomass co-gasification, solid oxide fuel cells (SOFC), supercritical CO2 (sCO2) Brayton cycles, and double-effect absorption refrigeration systems (DEARS) for the first time. The integration of biomass co-gasification with SOFC, sCO2 and DEARS present several challenges, particularly in modeling and optimization due to the complexity of co-gasification reactions, which make it difficult to accurately predict system performance using traditional methods. To address this, a data-driven model is employed to precisely predict the gasification reactions. The integration of efficient sCO2 and DEARS technologies optimizes waste heat utilization, significantly enhancing overall system performance. The results demonstrate a substantial improvements over traditional biomass-driven CCHP systems, achieving a power generation efficiency of 69.33 %, with energy utilization and exergy efficiencies improved by 20.93 % and 1.06 %, respectively. Parametric optimization identified the optimal operating conditions—palm leaf content (20 %), gasification temperature (1000 °C), and equivalence ratio (0.3), further enhancing energy output and thermodynamic performance. This study not only bridges the research gap in integrating biomass co-gasification with SOFC, sCO2, and DEARS technologies, but also provides important theoretical and technical support for the design of biomass-driven polygeneration systems.

Suggested Citation

  • Yin, Zhiqiang & Yang, Jinyu & Feng, Yingsong & Ma, Zherui & Wang, Jiangjiang & Liu, Qibin, 2025. "Thermodynamics analysis of a biomass co-gasification based combined cooling, heating and power system," Renewable Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:renene:v:248:y:2025:i:c:s0960148125008572
    DOI: 10.1016/j.renene.2025.123195
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    1. Zhao, Ying & Wang, Xiaohong & Li, Chen & Guo, Ruitong & Zhang, Weibin, 2025. "Optimization study of biomass and HDPE co-gasification-SOFC system based on SSA-BP neural network," Energy, Elsevier, vol. 335(C).
    2. Wang, Yuzhi & Mu, Qingguang & Bai, Zhiqing & Elmasry, Yasser & Abed Balla, Hyder H. & Alkhayyat, Ahmad & Bayhan, Zahra & Daghistani, Firas & Mahariq, Ibrahim, 2025. "Life cycle assessment, techno-economic and environmental analysis of an innovative integration air power cycle with LNG cold energy utilization in a biomass-fueled multi-generation plant: Soft computing technique and multi-objective optimization appr," Energy, Elsevier, vol. 340(C).

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