Thermodynamics analysis of a biomass co-gasification based combined cooling, heating and power system
Zhiqiang Yin,
Jinyu Yang,
Yingsong Feng,
Zherui Ma,
Jiangjiang Wang and
Qibin Liu
Renewable Energy, 2025, vol. 248, issue C
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.
Keywords: Co-gasification; Solid oxide fuel cell (SOFC); Supercritical CO2 brayton cycle(sCO2); Data-driven modeling; Thermodynamic performance optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:248:y:2025:i:c:s0960148125008572
DOI: 10.1016/j.renene.2025.123195
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