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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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    References listed on IDEAS

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    2. 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).
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    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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