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Multi-objective optimization of biomass gasification based combined heat and power system employing molten carbonate fuel cell and externally fired gas turbine

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  • Roy, Dibyendu

Abstract

Bioenergy is expected to play a critical role in a Net-Zero 2050 scenario. India ranks second in the world in terms of rice production. By-product rice husk, which is produced in large quantities, is currently burned and discarded by farmers. The primary objective of the research is to use rice husk as a fuel in an energy system that would otherwise be wasted. The rice husk might be better utilised to produce hydrogen-rich syngas, which could subsequently be used to generate clean electricity in fuel cell-based systems. Here, a novel combined heat and power system consisting of a biomass gasifier, molten carbonate fuel cell (MCFC), an externally fired gas turbine (EFGT), and a water heating facility has been developed. The proposed cogeneration system has undergone extensive thermodynamic and economic analyses. In addition, response surface methodology (RSM) was used for multiobjective optimization. An extensive investigation was conducted to determine how design factors influence exergy efficiency and the levelized unit cost of energy of the system.The results suggest the optimal design parameters are found at current density = 1015.25 A/m2, cell temperature = 700 ℃, and pressure ratio = 1.69. The optimization analysis shows that the cogeneration system has the maximum exergy efficiency of 41.15% and the lowest levelized unit cost of energy of 0.044 $/kWh.

Suggested Citation

  • Roy, Dibyendu, 2023. "Multi-objective optimization of biomass gasification based combined heat and power system employing molten carbonate fuel cell and externally fired gas turbine," Applied Energy, Elsevier, vol. 348(C).
    • Handle: RePEc:eee:appene:v:348:y:2023:i:c:s0306261923008504
    DOI: 10.1016/j.apenergy.2023.121486
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    References listed on IDEAS

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    Cited by:

    1. Fatemeh Parnian Gharamaleki & Shayan Sharafi Laleh & Nima Ghasemzadeh & Saeed Soltani & Marc A. Rosen, 2024. "Optimization of a Biomass-Based Power and Fresh Water-Generation System by Machine Learning Using Thermoeconomic Assessment," Sustainability, MDPI, vol. 16(20), pages 1-24, October.
    2. Tavakoli, Navid & Pourfayaz, Fathollah & Mehrpooya, Mehdi, 2025. "Tri-optimization of cost, power and efficiency of a waste biomass gasification integrated with a molten carbonate fuel cell by a combined approach," Energy, Elsevier, vol. 314(C).
    3. Roy, Dibyendu & Samanta, Samiran & Roy, Sumit & Smallbone, Andrew & Roskilly, Anthony Paul, 2024. "Technoeconomic and environmental performance assessment of solid oxide fuel cell-based cogeneration system configurations," Energy, Elsevier, vol. 310(C).
    4. Leng, Yuchi & Li, Shuguang & Elmasry, Yasser & Garalleh, Hakim AL & Afandi, Abdulkareem & Alzubaidi, Laith H. & Alkhalaf, Salem & Abdullaev, Sherzod & Alharbi, Fawaz S., 2024. "Modeling of calculations on the performance optimization of a double-flash geothermal renewable energy-based combined heat/power plant coupled by transcritical carbon dioxide rankine cycle," Renewable Energy, Elsevier, vol. 237(PA).

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