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Hybrid Nonlinear MPC of a Solar Cooling Plant

Author

Listed:
  • Eduardo F. Camacho

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Antonio J. Gallego

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Juan M. Escaño

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

  • Adolfo J. Sánchez

    (Departamento de Ingeniería de Sistemas y Automática, Universidad de Sevilla, Camino de los Descubrimientos s/n., 41092 Sevilla, Spain)

Abstract

Solar energy for cooling systems has been widely used to fulfill the growing air conditioning demand. The advantage of this approach is based on the fact that the need of air conditioning is usually well correlated to solar radiation. These kinds of plants can work in different operation modes resulting on a hybrid system. The control approaches designed for this kind of plant have usually a twofold goal: (a) regulating the outlet temperature of the solar collector field and (b) choosing the operation mode. Since the operation mode is defined by a set of valve positions (discrete variables), the overall control problem is a nonlinear optimization problem which involves discrete and continuous variables. This problems are difficult to solve within the normal sampling times for control purposes (around 20–30 s). In this paper, a two layer control strategy is proposed. The first layer is a nonlinear model predictive controller for regulating the outlet temperature of the solar field. The second layer is a fuzzy algorithm which selects the adequate operation mode for the plant taken into account the operation conditions. The control strategy is tested on a model of the plant showing a proper performance.

Suggested Citation

  • Eduardo F. Camacho & Antonio J. Gallego & Juan M. Escaño & Adolfo J. Sánchez, 2019. "Hybrid Nonlinear MPC of a Solar Cooling Plant," Energies, MDPI, vol. 12(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2723-:d:248867
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    References listed on IDEAS

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    1. Yue Wang & Zhijian Qiu & Xiaomei Qu, 2017. "An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-10, February.
    2. Eduardo F. Camacho & Antonio J. Gallego & Adolfo J. Sanchez & Manuel Berenguel, 2018. "Incremental State-Space Model Predictive Control of a Fresnel Solar Collector Field," Energies, MDPI, vol. 12(1), pages 1-23, December.
    3. Nkwetta, Dan Nchelatebe & Sandercock, Jim, 2016. "A state-of-the-art review of solar air-conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1351-1366.
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    Cited by:

    1. Michela Robba & Mansueto Rossi, 2021. "Optimal Control of Hybrid Systems and Renewable Energies," Energies, MDPI, vol. 15(1), pages 1-3, December.
    2. Machado, Diogo Ortiz & Chicaiza, William D. & Escaño, Juan M. & Gallego, Antonio J. & de Andrade, Gustavo A. & Normey-Rico, Julio E. & Bordons, Carlos & Camacho, Eduardo F., 2023. "Digital twin of an absorption chiller for solar cooling," Renewable Energy, Elsevier, vol. 208(C), pages 36-51.
    3. Pataro, Igor M.L. & Gil, Juan D. & Guzmán, José L. & Berenguel, Manuel & Lemos, João M., 2023. "Hierarchical control based on a hybrid nonlinear predictive strategy for a solar-powered absorption machine facility," Energy, Elsevier, vol. 271(C).
    4. Stefano Dettori & Alessandro Maddaloni & Filippo Galli & Valentina Colla & Federico Bucciarelli & Damaso Checcacci & Annamaria Signorini, 2021. "Steam Turbine Rotor Stress Control through Nonlinear Model Predictive Control," Energies, MDPI, vol. 14(13), pages 1-30, July.

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