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Thermoeconomic Optimization of a Polygeneration System Based on a Solar-Assisted Desiccant Cooling

Author

Listed:
  • Luis Gabriel Gesteira

    (Department of Mechanical Technology, Federal Institute of Bahia, Salvador 40301-015, Brazil
    CIRCE Research Institute, University of Zaragoza, 50018 Zaragoza, Spain)

  • Javier Uche

    (CIRCE Research Institute, University of Zaragoza, 50018 Zaragoza, Spain)

  • Francesco Liberato Cappiello

    (Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, 80138 Naples, Italy)

  • Luca Cimmino

    (Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, 80138 Naples, Italy)

Abstract

This paper presents a thermoeconomic analysis of a polygeneration system based on solar-assisted desiccant cooling. The overall plant layout supplies electricity, space heating and cooling, domestic hot water, and freshwater for a residential building. The system combines photovoltaic/thermal collectors, photovoltaic panels, and a biomass boiler coupled with reverse osmosis and desiccant air conditioning. The plant was modeled in TRNSYS and simulated for 1 year. A parametric study defined the system’s setup. A thermoeconomic optimization determined the set of parameters that minimize the simple payback period. The optimal structure showed a total energy efficiency of 0.49 for the solar collectors and 0.16 for the solar panels. The coefficient of performance of the desiccant air conditioning was 0.37. Finally, a sensitivity analysis analyzed the influence of purchase electricity and natural gas costs and the electricity sell-back price on the system. The optimum simple payback was 20.68 years; however, the increase in the energy cost can reduce it by up to 85%.

Suggested Citation

  • Luis Gabriel Gesteira & Javier Uche & Francesco Liberato Cappiello & Luca Cimmino, 2023. "Thermoeconomic Optimization of a Polygeneration System Based on a Solar-Assisted Desiccant Cooling," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1516-:d:1034053
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    References listed on IDEAS

    as
    1. Francesco Calise & Francesco Liberato Cappiello & Luca Cimmino & Massimo Dentice d’Accadia & Maria Vicidomini, 2021. "Dynamic Simulation and Thermoeconomic Analysis of a Hybrid Renewable System Based on PV and Fuel Cell Coupled with Hydrogen Storage," Energies, MDPI, vol. 14(22), pages 1-20, November.
    2. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    3. Alfredo Gimelli & Massimiliano Muccillo, 2021. "Development of a 1 kW Micro-Polygeneration System Fueled by Natural Gas for Single-Family Users," Energies, MDPI, vol. 14(24), pages 1-21, December.
    4. Saint Akadiri, Seyi & Alola, Andrew Adewale & Akadiri, Ada Chigozie & Alola, Uju Violet, 2019. "Renewable energy consumption in EU-28 countries: Policy toward pollution mitigation and economic sustainability," Energy Policy, Elsevier, vol. 132(C), pages 803-810.
    5. Parantapa Sawant & Oscar Villegas Mier & Michael Schmidt & Jens Pfafferott, 2021. "Demonstration of Optimal Scheduling for a Building Heat Pump System Using Economic-MPC," Energies, MDPI, vol. 14(23), pages 1-15, November.
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    Cited by:

    1. Jobel Jose & Rajesh Kanna Parthasarathy & Senthil Kumar Arumugam, 2023. "Energy and Exergy Analysis of a Combined Cooling Heating and Power System with Regeneration," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    2. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "A comparative thermoeconomic analysis of fourth generation and fifth generation district heating and cooling networks," Energy, Elsevier, vol. 284(C).

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