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A design on sustainable hybrid energy systems by multi-objective optimization for aquaculture industry

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  • Nguyen, Nhut Tien
  • Matsuhashi, Ryuji
  • Vo, Tran Thi Bich Chau

Abstract

This paper presents an optimal design for sustainable hybrid energy systems for the aquaculture sector, which inherently requires intensive energy. The designed system is energized by renewable resources to produce pure oxygen in situ through water electrolysis for oxygenation according to the changes of dissolved oxygen of species under culture. Moreover, the by-product hydrogen from the electrolysis process is used to generate backup power for an eventual power failure. The mathematical models of the system were developed for simulation and optimization to assess the performance of the system regarding technical, economic, and environmental aspects as multi-objective functions in autonomous mode as well as on-grid mode. The merits of the proposed system are demonstrated at a shrimp farm. Furthermore, the optimal results and their sensitivity analysis showed that the sustainable hybrid energy system operating in grid-connected mode, which possesses such attractive features as producing onsite pure oxygen for oxygenation and utilizing the by-product hydrogen for generating backup power, could bring significant benefits for farmers thanks to a notable reduction in the annualized cost of the system as well as CO2 emission in comparison with the conventional system, which is powered by the national grid to run common paddlewheel aerators for oxygenation.

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  • Nguyen, Nhut Tien & Matsuhashi, Ryuji & Vo, Tran Thi Bich Chau, 2021. "A design on sustainable hybrid energy systems by multi-objective optimization for aquaculture industry," Renewable Energy, Elsevier, vol. 163(C), pages 1878-1894.
    • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:1878-1894
    DOI: 10.1016/j.renene.2020.10.024
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    1. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    2. Stéphane Goutte & Duc Khuong Nguyen, 2019. "Handbook of Energy Finance," Post-Print halshs-02157477, HAL.
    3. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 41(C), pages 374-392.
    4. Simone Pascuzzi & Alexandros Sotirios Anifantis & Ileana Blanco & Giacomo Scarascia Mugnozza, 2016. "Electrolyzer Performance Analysis of an Integrated Hydrogen Power System for Greenhouse Heating. A Case Study," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    5. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Stochastic-heuristic methodology for the optimisation of components and control variables of PV-wind-diesel-battery stand-alone systems," Renewable Energy, Elsevier, vol. 99(C), pages 919-935.
    6. Buttler, Alexander & Spliethoff, Hartmut, 2018. "Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2440-2454.
    7. Ai, B. & Yang, H. & Shen, H. & Liao, X., 2003. "Computer-aided design of PV/wind hybrid system," Renewable Energy, Elsevier, vol. 28(10), pages 1491-1512.
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    3. Ewa Chomać-Pierzecka & Anna Sobczak & Dariusz Soboń, 2022. "Wind Energy Market in Poland in the Background of the Baltic Sea Bordering Countries in the Era of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, March.
    4. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.

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