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Optimal Design and Parameter Estimation for Small Solar Heating and Cooling Systems

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  • Mooyoung Yoo

    (Department of Architectural Engineering, Daejin University, Pocheon 11159, Republic of Korea)

Abstract

The use of solar heating and cooling systems has evolved from being limited to heating and hot water systems in the past to an increasing application in cooling systems. Furthermore, the efficiency optimization of solar heating and cooling systems is crucial in their design and control. This study aimed to enhance the overall efficiency of a solar heating and cooling system through simulations based on optimal design parameters. Additionally, simulations were conducted to optimize the control system to improve the efficiency of the entire solar heating and cooling system. The framework for control optimization can be summarized as follows: (1) modeling the components of the solar heating and cooling system using the Modelica language; (2) establishing baseline efficiencies for the solar heating and cooling system throughout the year; and (3) implementing a control logic, such as Fuzzy or proportional-integral-derivative (PID), within the system components. The resulting optimal control strategy for the solar heating and cooling system led to a maximum increase in the overall system efficiency of approximately 12% during a week of summer design days, reducing the energy consumption from 696.89 kWh to 556.12 kWh. This demonstrates that the developed parameters and control logic improved the overall system performance and achieved efficiency optimization.

Suggested Citation

  • Mooyoung Yoo, 2023. "Optimal Design and Parameter Estimation for Small Solar Heating and Cooling Systems," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16352-:d:1289025
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    References listed on IDEAS

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    1. Meyers, Steven & Schmitt, Bastian & Vajen, Klaus, 2018. "Renewable process heat from solar thermal and photovoltaics: The development and application of a universal methodology to determine the more economical technology," Applied Energy, Elsevier, vol. 212(C), pages 1537-1552.
    2. Andrés Villarruel-Jaramillo & Manuel Pérez-García & José M. Cardemil & Rodrigo A. Escobar, 2021. "Review of Polygeneration Schemes with Solar Cooling Technologies and Potential Industrial Applications," Energies, MDPI, vol. 14(20), pages 1-30, October.
    3. Holler, Stefan & Winkelmann, Adrian & Pelda, Johannes & Salaymeh, Abdulraheem, 2021. "Feasibility study on solar thermal process heat in the beverage industry," Energy, Elsevier, vol. 233(C).
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    Keywords

    COP; SHC; Modelica language; fuzzy; PID;
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