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3E analysis and optimization of an innovative cogeneration system based on biomass gasification and solar photovoltaic thermal plant

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  • Teymouri, Matin
  • Sadeghi, Shayan
  • Moghimi, Mahdi
  • Ghandehariun, Samane

Abstract

In this study, an innovative hybrid solar/biomass cogeneration plant is designed and optimized to generate power and heat. Solar energy is harnessed using photovoltaic/thermal (PV/T) components to produce hydrogen via the water electrolysis method. The produced fuel is then used as an additive in the combustion chamber (CC) of a gas turbine (GT) cycle. The primary fuel used in the CC is high-temperature syngas produced in the gasification process of wooden biomass. Additionally, a steam Rankine cycle (SRC) coupled with a thermoelectric generator (TEG) is utilized to achieve higher efficiency. The proposed system is investigated in detail using thermodynamic approaches of energy, exergy, and exergo-economic analyses. The energy and exergy efficiencies of the system are determined as 69.15% and 23.11%, respectively. The system produces 14.55 MW of electricity with a total cost rate of $633.04/h and a unit product cost of $4.66/GJ. Finally, two optimizations are performed with the exergy efficiency and total cost rate and also exergy efficiency and levelized cost of electricity (LCOE) as the objective functions. In the first optimization, the optimum exergy efficiency is 4.02% less than that of the base case. However, the total cost rate of the system is improved drastically from $633.04/h in the base case to $212.29/h in the optimal case. In the second one, better exergy efficiency and also LCOE is achievable in comparison with the base case.

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  • Teymouri, Matin & Sadeghi, Shayan & Moghimi, Mahdi & Ghandehariun, Samane, 2021. "3E analysis and optimization of an innovative cogeneration system based on biomass gasification and solar photovoltaic thermal plant," Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221008951
    DOI: 10.1016/j.energy.2021.120646
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    2. Behzadi, Amirmohammad & Sadrizadeh, Sasan, 2023. "Grid-tied solar and biomass hybridization for multi-family houses in Sweden: An optimal rule-based control framework through machine learning approach," Renewable Energy, Elsevier, vol. 218(C).
    3. Ali, Ramadan Hefny & Abdel Samee, Ahmed A. & Maghrabie, Hussein M., 2023. "Thermodynamic analysis of a cogeneration system in pulp and paper industry under singular and hybrid operating modes," Energy, Elsevier, vol. 263(PE).
    4. Qi, Xinrui & Yang, Chunsheng & Huang, Mingyang & Ma, Zhenjun & Hnydiuk-Stefan, Anna & Feng, Ke & Siarry, Patrick & Królczyk, Grzegorz & Li, Z., 2024. "Conventional and advanced exergy-exergoeconomic-exergoenvironmental analyses of an organic Rankine cycle integrated with solar and biomass energy sources," Energy, Elsevier, vol. 288(C).
    5. Wang, Yangyang & Liu, Yangyang & Xu, Zaifeng & Yin, Kexin & Zhou, Yaru & Zhang, Jifu & Cui, Peizhe & Ma, Shinan & Wang, Yinglong & Zhu, Zhaoyou, 2024. "A review on renewable energy-based chemical engineering design and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Yang, Bo & Zeng, Chunyuan & Li, Danyang & Guo, Zhengxun & Chen, Yijun & Shu, Hongchun & Cao, Pulin & Li, Zilin, 2022. "Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 325(C).

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