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Optimization of Cogeneration Power-Desalination Plants

Author

Listed:
  • Ariana M. Pietrasanta

    (INGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina)

  • Sergio F. Mussati

    (INGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina)

  • Pio A. Aguirre

    (INGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina)

  • Tatiana Morosuk

    (Institute for Energy Engineering, Technishe Universität Berlin, Marchstrs. 18, 10623 Berlin, Germany)

  • Miguel C. Mussati

    (INGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, Argentina)

Abstract

The design of new dual-purpose thermal desalination plants is a combinatory problem because the optimal process configuration strongly depends on the desired targets of electricity and freshwater. This paper proposes a mathematical model for selecting the optimal structure, the operating conditions, and sizes of all system components of dual-purpose thermal desalination plants. Electricity is supposed to be generated by a combined-cycle heat and power plant (CCHPP) with the following candidate structures: (a) one or two gas turbines; (b) one or two additional burners in the heat recovery steam generator; (c) the presence or missing a medium-pressure steam turbine; (d) steam generation and reheating at low pressure. Freshwater is supposed to be obtained from two candidate thermal processes: and (e) a multi-effect distillation (MED) or a multi-stage flash (MSF) system. The number of effects in MED and stages in MSF are also discrete decisions. Different case studies are presented to show the applicability of the model for same cost data. The proposed model is a powerful tool in optimizing new plants (or plants under modernization) and/or improving existing plants for desired electricity generation and freshwater production. No articles addressing the optimization involving the discrete decisions mentioned above are found in the literature.

Suggested Citation

  • Ariana M. Pietrasanta & Sergio F. Mussati & Pio A. Aguirre & Tatiana Morosuk & Miguel C. Mussati, 2022. "Optimization of Cogeneration Power-Desalination Plants," Energies, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8374-:d:967748
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    References listed on IDEAS

    as
    1. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).
    2. Maheshwari, Mayank & Singh, Onkar, 2020. "Thermo-economic analysis of combined cycle configurations with intercooling and reheating," Energy, Elsevier, vol. 205(C).
    3. Ansari, Kambiz & Sayyaadi, Hoseyn & Amidpour, Majid, 2010. "Thermoeconomic optimization of a hybrid pressurized water reactor (PWR) power plant coupled to a multi effect distillation desalination system with thermo-vapor compressor (MED-TVC)," Energy, Elsevier, vol. 35(5), pages 1981-1996.
    4. Tamburini, A. & Cipollina, A. & Micale, G. & Piacentino, A., 2016. "CHP (combined heat and power) retrofit for a large MED-TVC (multiple effect distillation along with thermal vapour compression) desalination plant: high efficiency assessment for different design opti," Energy, Elsevier, vol. 115(P3), pages 1548-1559.
    5. Manassaldi, Juan I. & Mussati, Miguel C. & Scenna, Nicolás J. & Morosuk, Tatiana & Mussati, Sergio F., 2021. "Process optimization and revamping of combined-cycle heat and power plants integrated with thermal desalination processes," Energy, Elsevier, vol. 233(C).
    6. Luo, Chending & Zhang, Na & Lior, Noam & Lin, Hu, 2011. "Proposal and analysis of a dual-purpose system integrating a chemically recuperated gas turbine cycle with thermal seawater desalination," Energy, Elsevier, vol. 36(6), pages 3791-3803.
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