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Energetic, economic, exergetic, and exergorisk (4E) analyses of a novel multi-generation energy system assisted with bagasse-biomass gasifier and multi-effect desalination unit

Author

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  • Safder, Usman
  • Nguyen, Hai-Tra
  • Ifaei, Pouya
  • Yoo, ChangKyoo

Abstract

This study presents a novel multi-generation system (MGS) assisted by sugarcane bagasse to produce power, freshwater, and cooling. The proposed integrated MGS consisted of a bagasse-biomass based gasifier-Brayton cycle, a Rankine cycle, a Kalina cycle, an ejector refrigeration cycle, and a multi-effect desalination unit. Comprehensive energy, economic, exergy, exergorisk (4E) analyses of the proposed system were performed. The effects of operating parameters on thermodynamic performance and economic feasibility were investigated. An optimal configuration of the proposed system was determined via weighted multi-objective optimization approach considering exergorisk, exergy, and economic analyses. The results showed that bagasse-biomass flowrate was the dominant factor affecting variation in energy and exergy efficiencies, and total cost rate. An increase in bagasse-biomass flowrate from 1.5 kg/s to 10 kg/s led to decreases of 34.42% and 50.75% in overall energy and exergy efficiencies. The most substantial increase (43.07%) in exergy efficiency occurred at a high compression ratio. The optimization results showed that the total accidental risk impact was improved by 92.59% and energetic and exergetic efficiency was increased to 92.10% and 77.49%, respectively. The proposed optimum system can provide power, cooling, and freshwater at loads of 28.72 MW, 13.64 kg/s, and 3.43 MW, respectively.

Suggested Citation

  • Safder, Usman & Nguyen, Hai-Tra & Ifaei, Pouya & Yoo, ChangKyoo, 2021. "Energetic, economic, exergetic, and exergorisk (4E) analyses of a novel multi-generation energy system assisted with bagasse-biomass gasifier and multi-effect desalination unit," Energy, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:energy:v:219:y:2021:i:c:s0360544220327456
    DOI: 10.1016/j.energy.2020.119638
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    5. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    6. 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).
    7. Safder, Usman & Lim, Juin Yau & How, Bing Shen & Ifaei, Pouya & Heo, SungKy & Yoo, ChangKyoo, 2022. "Optimal configuration and economic analysis of PRO-retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties: Bioethanol and sugar mill case stu," Renewable Energy, Elsevier, vol. 182(C), pages 797-816.
    8. Loy-Benitez, Jorge & Safder, Usman & Nguyen, Hai-Tra & Li, Qian & Woo, TaeYong & Yoo, ChangKyoo, 2021. "Techno-economic assessment and smart management of an integrated fuel cell-based energy system with absorption chiller for power, hydrogen, heating, and cooling in an electrified railway network," Energy, Elsevier, vol. 233(C).
    9. Khoshgoftar Manesh, M.H. & Mehrabian, M.J. & Nourpour, M. & Onishi, V.C., 2023. "Risk and 4E analyses and optimization of a novel solar-natural gas-driven polygeneration system based on Integration of Gas Turbine–SCO2–ORC-solar PV-PEM electrolyzer," Energy, Elsevier, vol. 263(PD).
    10. Safder, Usman & Hai, Tra Nguyen & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses," Energy, Elsevier, vol. 259(C).

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