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Water-renewable energy Nexus: Optimization of geothermal energy-powered seawater desalination systems

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  • Pietrasanta, Ariana M.
  • Mussati, Sergio F.
  • Aguirre, Pio A.
  • Morosuk, Tatiana
  • Mussati, Miguel C.

Abstract

This paper addresses the optimization of geothermal energy-powered seawater desalination systems. A nonlinear optimization mathematical model was implemented into General Algebraic Modelling System (GAMS). The model embeds many candidate configurations for optimization, which result from the combination of the following subsystems: a single flash (SFGP) or double flash (DFGP) geothermal power plants, a multi-effect distillation (MED) process or a reverse osmosis (RO) system for freshwater production. Also, an energy recovery turbine (ERT) is embedded. The minimization of the total annual cost of the process represents the objective function. The proposed model is a powerful decision-making tool for selecting the optimal configuration of the integrated process, sizes, and operating conditions to meet the demands of electricity and freshwater desired by users. It was found that for fixed 70 MW electricity generation and low freshwater demands (720–2880 m3/h), the optimal configuration is SFGP/MED. For high freshwater demands (4320–5040 m3/h), the optimal configuration is DFGP/MED/RO. For intermediate freshwater demand (3600 m3/h), an optimal transition configuration is in between the two previous configurations, i.e., SFGP/MED/RO/ERT. It is highlighted that the model can be used to simulate fixed configurations if no degrees of freedom are available.

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  • Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Water-renewable energy Nexus: Optimization of geothermal energy-powered seawater desalination systems," Renewable Energy, Elsevier, vol. 196(C), pages 234-246.
    • Handle: RePEc:eee:renene:v:196:y:2022:i:c:p:234-246
    DOI: 10.1016/j.renene.2022.06.146
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    Cited by:

    1. Ariana M. Pietrasanta & Mostafa F. Shaaban & Pio A. Aguirre & Sergio F. Mussati & Mohamed A. Hamouda, 2023. "Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    2. Vivar, M. & H, Sharon & Fuentes, M., 2024. "Photovoltaic system adoption in water related technologies – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    3. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Schmidhalter, Ignacio & Morosuk, Tatiana & Mussati, Miguel C., 2023. "Optimal sizing of seawater desalination systems using wind-solar hybrid renewable energy sources," Renewable Energy, Elsevier, vol. 215(C).
    4. Corsini, Alessandro & Delibra, Giovanni & Pizzuti, Isabella & Tajalli-Ardekani, Erfan, 2023. "Challenges of renewable energy communities on small Mediterranean islands: A case study on Ponza island," Renewable Energy, Elsevier, vol. 215(C).

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