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GAMS based approach for optimal design and sizing of a pressure retarded osmosis power plant in Bahmanshir river of Iran

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  • Naghiloo, Ahmad
  • Abbaspour, Majid
  • Mohammadi-Ivatloo, Behnam
  • Bakhtari, Khosro

Abstract

Osmotic power generation is one of the cleaner and sustainable methods for energy generation. This paper presents a study on the optimal size and design of pressure retarded osmosis (PRO) power plant as a viable source of renewable energy in the selected site in Bahmanshir river of Iran. The optimal sizing and design problem is formulated as a Non-Linear Programming (NLP) optimization problem and solved using the standard optimization software titled generalized algebraic modeling system (GAMS). The objective function is minimizing the total cost while considering the technical and economic constraints. Optimization results show that the optimal capacity of the PRO osmotic power plant is 77.8MW. Economic analysis is performed for the obtained results and it was observed that construction of this type of power plants will not be attractive for private sector investors with the market energy prices (i.e. 8cents/kWh).The effect of the future development in power density of membrane and membrane unit price in economic feasibility of the osmotic power plant is studied.

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  • Naghiloo, Ahmad & Abbaspour, Majid & Mohammadi-Ivatloo, Behnam & Bakhtari, Khosro, 2015. "GAMS based approach for optimal design and sizing of a pressure retarded osmosis power plant in Bahmanshir river of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1559-1565.
    • Handle: RePEc:eee:rensus:v:52:y:2015:i:c:p:1559-1565
    DOI: 10.1016/j.rser.2015.08.018
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    References listed on IDEAS

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    1. Jia, Zhijun & Wang, Baoguo & Song, Shiqiang & Fan, Yongsheng, 2014. "Blue energy: Current technologies for sustainable power generation from water salinity gradient," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 91-100.
    2. Alipour, Manijeh & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2014. "Short-term scheduling of combined heat and power generation units in the presence of demand response programs," Energy, Elsevier, vol. 71(C), pages 289-301.
    3. Bahrami, Mohsen & Abbaszadeh, Payam, 2013. "An overview of renewable energies in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 198-208.
    4. Aggidis, G.A. & Luchinskaya, E. & Rothschild, R. & Howard, D.C., 2010. "The costs of small-scale hydro power production: Impact on the development of existing potential," Renewable Energy, Elsevier, vol. 35(12), pages 2632-2638.
    5. Mohammadnejad, M. & Ghazvini, M. & Mahlia, T.M.I. & Andriyana, A., 2011. "A review on energy scenario and sustainable energy in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4652-4658.
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    4. Konstantinos Zachopoulos & Nikolaos Kokkos & Costas Elmasides & Georgios Sylaios, 2022. "Coupling Hydrodynamic and Energy Production Models for Salinity Gradient Energy Assessment in a Salt-Wedge Estuary (Strymon River, Northern Greece)," Energies, MDPI, vol. 15(9), pages 1-24, April.
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