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Optimizing Solar Energy Harvesting through Integrated Organic Rankine Cycle–Reverse Osmosis Systems: A Techno–Economic Analysis

Author

Listed:
  • Lina Wang

    (School of Marine Technology and Environment, Dalian Ocean University, Dalian 116023, China)

  • Chunyu Zhou

    (Information Office, Dalian Ocean University, Dalian 116023, China)

  • Hamid Reza Rahbari

    (AAU Energy, Aalborg University, 6700 Esbjerg, Denmark)

Abstract

When it comes to seawater desalination in the small- to medium-electricity ranges, the organic Rankine cycle (ORC) powered by solar energy stands out as the most energy-efficient technology currently available. Various solar techniques have been developed to capture and absorb solar energy. Among them, the parabolic trough collector (PTC) has gained recognition as a low-cost solar thermal collector with a long operating life. This study investigates the thermodynamic performance and economic parameters of a PTC-powered ORC using Dowtherm A and toluene as working fluids for the solar cycle and ORC cycle, respectively. Thermo-economic multi-objective optimization and decision-making techniques are applied to assess the system’s performance. Four key parameters are analyzed for their impact on exergy efficiency and total hourly cost. Using TOPSIS decision-making, the best solution from the Pareto frontier is identified, featuring an ORC exergy efficiency of 30.39% and a total hourly cost of 39.38 US$/h. The system parameters include a mass flow rate of fresh water at 137.7 m 3 /h, a total output net power of 577.9 kJ/kg, and a district heating supply of 1074 kJ/kg. The cost analysis reveals that the solar collector represents approximately 68% of the total hourly cost at 26.77 US$/h, followed by the turbine, thermoelectric generator, and reverse osmosis (RO) unit.

Suggested Citation

  • Lina Wang & Chunyu Zhou & Hamid Reza Rahbari, 2023. "Optimizing Solar Energy Harvesting through Integrated Organic Rankine Cycle–Reverse Osmosis Systems: A Techno–Economic Analysis," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13602-:d:1237909
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    References listed on IDEAS

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    1. Alirahmi, Seyed Mojtaba & Behzadi, Amirmohammad & Ahmadi, Pouria & Sadrizadeh, Sasan, 2023. "An innovative four-objective dragonfly-inspired optimization algorithm for an efficient, green, and cost-effective waste heat recovery from SOFC," Energy, Elsevier, vol. 263(PA).
    2. Olabi, A.G. & Abdelkareem, Mohammad Ali, 2022. "Renewable energy and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Mahmoudan, Alireza & Esmaeilion, Farbod & Hoseinzadeh, Siamak & Soltani, Madjid & Ahmadi, Pouria & Rosen, Marc, 2022. "A geothermal and solar-based multigeneration system integrated with a TEG unit: Development, 3E analyses, and multi-objective optimization," Applied Energy, Elsevier, vol. 308(C).
    4. Li, Sheying & Cai, Yang-Hui & Schäfer, Andrea I. & Richards, Bryce S., 2019. "Renewable energy powered membrane technology: A review of the reliability of photovoltaic-powered membrane system components for brackish water desalination," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Alirahmi, Seyed Mojtaba & Ebrahimi-Moghadam, Amir, 2022. "Comparative study, working fluid selection, and optimal design of three systems for electricity and freshwater based on solid oxide fuel cell mover cycle," Applied Energy, Elsevier, vol. 323(C).
    6. Zhou, Jianzhao & Chu, Yin Ting & Ren, Jingzheng & Shen, Weifeng & He, Chang, 2023. "Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems," Energy, Elsevier, vol. 281(C).
    7. Morais, Pedro Henrique da Silva & Lodi, Andressa & Aoki, Adriana Cristine & Modesto, Marcelo, 2020. "Energy, exergetic and economic analyses of a combined solar-biomass-ORC cooling cogeneration systems for a Brazilian small plant," Renewable Energy, Elsevier, vol. 157(C), pages 1131-1147.
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