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Optimizing cooling, power, freshwater, and hydrogen production in a dual-fuel gas turbine cycle: A multi-layered approach of waste heat recovery with biomass and methane integration

Author

Listed:
  • Chen, Feng
  • Zhang, Wei
  • Xuan, Jiamin
  • Lou, Min
  • Cai, Jie
  • Wu, Kaiming
  • Zhang, Hongbin

Abstract

This study proposes a novel dual-fuel gas turbine cycle utilizing gasified biomass and methane, integrated with multiple waste heat recovery systems to produce power, cooling, hydrogen, and freshwater. The system incorporates a Kalina cycle, steam Rankine cycle, humidification-dehumidification unit, absorption refrigeration cycle, and a proton exchange membrane electrolyzer. The design follows a multi-layer waste heat recovery approach: cooled intake air powers the Kalina cycle, while the steam Rankine cycle drives the absorption refrigeration unit. Exergy analysis identifies the gasifier as the main source of exergy destruction (5974 kW), whereas the air turbine incurs the highest cost rate (594,121.1 $/year). The cost rates for power, cooling, freshwater, and hydrogen are estimated at 0.042 $/kWh, 0.004 $/kWh, 1.18 $/m3, and 2.98 $/kg, respectively. At optimal conditions, the system generates 15,845.97 kW of power, 6056.03 kW of cooling (≈1722.3 tons of refrigeration), 3.20 kg/s of freshwater, and 0.0156 kg/s of hydrogen, achieving a payback period of 1.31 years. The overall exergy efficiency is 37.69 %. Sensitivity analysis reveals significant performance dependence on the methane-to-biomass ratio and combustion temperature. Results demonstrate that strategic integration of thermally matched subsystems enhances energy efficiency and economic feasibility, making the system a promising solution for sustainable and diversified energy production.

Suggested Citation

  • Chen, Feng & Zhang, Wei & Xuan, Jiamin & Lou, Min & Cai, Jie & Wu, Kaiming & Zhang, Hongbin, 2026. "Optimizing cooling, power, freshwater, and hydrogen production in a dual-fuel gas turbine cycle: A multi-layered approach of waste heat recovery with biomass and methane integration," Renewable Energy, Elsevier, vol. 256(PD).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:pd:s0960148125018671
    DOI: 10.1016/j.renene.2025.124203
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    References listed on IDEAS

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    1. Yilmaz, Fatih & Balta, M. Tolga & Selbaş, Reşat, 2016. "A review of solar based hydrogen production methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 171-178.
    2. Farzad Hamrang & Afshar Shokri & S. M. Seyed Mahmoudi & Biuk Ehghaghi & Marc A. Rosen, 2020. "Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
    3. Loha, Chanchal & Chattopadhyay, Himadri & Chatterjee, Pradip K., 2011. "Thermodynamic analysis of hydrogen rich synthetic gas generation from fluidized bed gasification of rice husk," Energy, Elsevier, vol. 36(7), pages 4063-4071.
    4. Cheng, Ze-Dong & He, Ya-Ling & Du, Bao-Cun & Wang, Kun & Liang, Qi, 2015. "Geometric optimization on optical performance of parabolic trough solar collector systems using particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 148(C), pages 282-293.
    5. Pedroso, Daniel Travieso & Machin, Einara Blanco & Proenza Pérez, Nestor & Braga, Lúcia Bollini & Silveira, José Luz, 2017. "Technical assessment of the Biomass Integrated Gasification/Gas Turbine Combined Cycle (BIG/GTCC) incorporation in the sugarcane industry," Renewable Energy, Elsevier, vol. 114(PB), pages 464-479.
    6. Ogorure, O.J. & Heberle, F. & Brüggemann, D., 2024. "Thermo-economic analysis and multi-criteria optimization of an integrated biomass-to-energy power plant," Renewable Energy, Elsevier, vol. 224(C).
    7. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    8. Ren, Jie & Qian, Zuoqin & Fei, Chunguang & Lu, Ding & Zou, Yincai & Xu, Chen & Liu, Lu, 2023. "Thermodynamic, exergoeconomic, and exergoenvironmental analysis of a combined cooling and power system for natural gas-biomass dual fuel gas turbine waste heat recovery," Energy, Elsevier, vol. 269(C).
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