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Optimal operation of Concentrating Solar Collector fields using exergy-based hierarchical control

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  • Machado, Diogo Ortiz
  • Andrade, Gustavo Artur
  • Normey-Rico, Julio Elias
  • Bordons, Carlos

Abstract

This work develops an exergy-based hierarchical control for the ACUREX solar collector field. The objective is to simulate and to determine the optimal control operation based on exergy. The control structure uses a nonlinear exergy optimization layer that sends the steady-state optimal temperature set-point to a nonlinear Model Predictive Control layer. The simulations show that the control can track references, reject disturbances, and optimize the production considering process intermittency (start-up, operation, shut-down), operational constraints, and pump power. The study compares the proposed control to common literature approaches such as energy-based and maximum outlet temperature reference generation. The main findings are: (i) the proposed exergy-based controller design gives an enhanced second law of thermodynamics performance independently of solar collector process parameters; (ii) despite modest energy production and efficiency advantages (1%) on ACUREX solar field, the real application of the control law does not imply any new investments or hardware changes; (iii) seeking the maximum temperature is a simple, quasi-optimal strategy for the ACUREX solar field; and (iv) energy-based optimization is not a suitable strategy for ACUREX solar field from the second law of thermodynamics (exergy) perspective.

Suggested Citation

  • Machado, Diogo Ortiz & Andrade, Gustavo Artur & Normey-Rico, Julio Elias & Bordons, Carlos, 2022. "Optimal operation of Concentrating Solar Collector fields using exergy-based hierarchical control," Energy, Elsevier, vol. 239(PE).
  • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221027110
    DOI: 10.1016/j.energy.2021.122462
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    References listed on IDEAS

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    1. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    2. Sharma, Ashish K. & Sharma, Chandan & Mullick, Subhash C. & Kandpal, Tara C., 2017. "Solar industrial process heating: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 124-137.
    3. Cirre, Cristina M. & Berenguel, Manuel & Valenzuela, Loreto & Klempous, Ryszard, 2009. "Reference governor optimization and control of a distributed solar collector field," European Journal of Operational Research, Elsevier, vol. 193(3), pages 709-717, March.
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    Cited by:

    1. 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 a Fresnel solar collector for solar cooling," Applied Energy, Elsevier, vol. 339(C).
    2. Chunxia Gao & Zhaoyan Zhang & Peiguang Wang, 2023. "Day-Ahead Scheduling Strategy Optimization of Electric–Thermal Integrated Energy System to Improve the Proportion of New Energy," Energies, MDPI, vol. 16(9), pages 1-30, April.

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