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Performance Analyses of a Renewable Energy Powered System for Trigeneration

Author

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  • Olusola Bamisile

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Qi Huang

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Paul O. K. Anane

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Mustafa Dagbasi

    (Energy Systems Engineering Department, Cyprus International University, Haspolat-Lefkosa, 99258 Mersin 10, Turkey)

Abstract

In this research, a novel trigeneration powered by a renewable energy (RE) source is developed and analyzed. The trigeneration system is designed to produce electricity, hot water, and cooling using two steam cycles, a gas cycle, hot water chamber, and an absorption cycle. The RE source considered in the scope of this study is biogas generated from chicken manure and maize silage. The energy and exergy analysis of the trigeneration system is performed with the aim to achieve higher efficiencies. The efficiencies are presented based on power generation, cogeneration (electricity and cooling) and trigeneration. The overall trigeneration energy and exergy efficiency for the system developed is 64% and 34.51%. The exergy destruction within the system is greatest in the combustion chamber.

Suggested Citation

  • Olusola Bamisile & Qi Huang & Paul O. K. Anane & Mustafa Dagbasi, 2019. "Performance Analyses of a Renewable Energy Powered System for Trigeneration," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6006-:d:281286
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    1. Shengjun, Zhang & Huaixin, Wang & Tao, Guo, 2011. "Performance comparison and parametric optimization of subcritical Organic Rankine Cycle (ORC) and transcritical power cycle system for low-temperature geothermal power generation," Applied Energy, Elsevier, vol. 88(8), pages 2740-2754, August.
    2. Varun & Prakash, Ravi & Bhat, Inder Krishnan, 2009. "Energy, economics and environmental impacts of renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2716-2721, December.
    3. Taheri, M.H. & Mosaffa, A.H. & Farshi, L. Garousi, 2017. "Energy, exergy and economic assessments of a novel integrated biomass based multigeneration energy system with hydrogen production and LNG regasification cycle," Energy, Elsevier, vol. 125(C), pages 162-177.
    4. Puig-Arnavat, Maria & Bruno, Joan Carles & Coronas, Alberto, 2014. "Modeling of trigeneration configurations based on biomass gasification and comparison of performance," Applied Energy, Elsevier, vol. 114(C), pages 845-856.
    5. Sevinchan, Eren & Dincer, Ibrahim & Lang, Haoxiang, 2019. "Energy and exergy analyses of a biogas driven multigenerational system," Energy, Elsevier, vol. 166(C), pages 715-723.
    6. Ebadollahi, Mohammad & Rostamzadeh, Hadi & Pedram, Mona Zamani & Ghaebi, Hadi & Amidpour, Majid, 2019. "Proposal and assessment of a new geothermal-based multigeneration system for cooling, heating, power, and hydrogen production, using LNG cold energy recovery," Renewable Energy, Elsevier, vol. 135(C), pages 66-87.
    7. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2014. "Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system," Energy, Elsevier, vol. 68(C), pages 958-970.
    8. Yari, Mortaza, 2010. "Exergetic analysis of various types of geothermal power plants," Renewable Energy, Elsevier, vol. 35(1), pages 112-121.
    9. Lian, Z.T. & Chua, K.J. & Chou, S.K., 2010. "A thermoeconomic analysis of biomass energy for trigeneration," Applied Energy, Elsevier, vol. 87(1), pages 84-95, January.
    10. Kanoglu, Mehmet & Bolatturk, Ali, 2008. "Performance and parametric investigation of a binary geothermal power plant by exergy," Renewable Energy, Elsevier, vol. 33(11), pages 2366-2374.
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    2. Alao, Moshood Akanni & Popoola, Olawale M. & Ayodele, Temitope Rapheal, 2021. "Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa," Renewable Energy, Elsevier, vol. 178(C), pages 162-183.
    3. Liu, Xianglong & Hu, Guang & Zeng, Zhi, 2022. "Potential of biomass processing using digester in arrangement with a Brayton cycle, a Kalina cycle, and a multi-effect desalination; thermodynamic/environmental/financial study and MOPSO-based optimiz," Energy, Elsevier, vol. 261(PA).
    4. Mariam Gómez Sánchez & Yunesky Masip Macia & Alejandro Fernández Gil & Carlos Castro & Suleivys M. Nuñez González & Jacqueline Pedrera Yanes, 2020. "A Mathematical Model for the Optimization of Renewable Energy Systems," Mathematics, MDPI, vol. 9(1), pages 1-16, December.

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