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Thermo-economic design optimization of parabolic trough solar plants for industrial process heat applications with memetic algorithms

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  • Silva, R.
  • Berenguel, M.
  • Pérez, M.
  • Fernández-Garcia, A.

Abstract

A thermo-economic design optimization of a parabolic trough solar plant for industrial processes with memetic algorithms is developed. The design domain variables considered in the optimization routine are the number of collectors in series, number of collector rows, row spacing, and storage volume. Life cycle savings, levelized cost of energy, and payback time objective functions are compared to study the influence on optimal design point location. Furthermore a multi-objective optimization approach is proposed to analyze the design problem from a multi-economic criteria point of view. An extensive set of optimization cases are performed to estimate the influence of fuel price trend, plant location, demand profile, operation conditions, solar field orientation, and radiation uncertainty on optimal design. The results allow quantifying as thermo-economic design optimization based on short term criteria as the payback time leads to smaller plants with higher solar field efficiencies and smaller solar fractions, while the consideration of optimization criteria based on long term performance of the plants, as life cycle savings based optimization, leads to the reverse conclusion. The role of plant location and future evolution of gas prices in the thermo-economic performance of the solar plant has been also analyzed. Thermo-economic optimization of a parabolic trough solar plant design for the reference industrial process heat application at a southern Mediterranean country considered in this work shows a levelized cost of energy of 5c€/kWh.

Suggested Citation

  • Silva, R. & Berenguel, M. & Pérez, M. & Fernández-Garcia, A., 2014. "Thermo-economic design optimization of parabolic trough solar plants for industrial process heat applications with memetic algorithms," Applied Energy, Elsevier, vol. 113(C), pages 603-614.
  • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:603-614
    DOI: 10.1016/j.apenergy.2013.08.017
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    References listed on IDEAS

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    1. Kalogirou, Soteris, 2003. "The potential of solar industrial process heat applications," Applied Energy, Elsevier, vol. 76(4), pages 337-361, December.
    2. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
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    Cited by:

    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. Isidoro Lillo-Bravo & Elena Pérez-Aparicio & Natividad Sancho-Caparrini & Manuel Antonio Silva-Pérez, 2018. "Benefits of Medium Temperature Solar Concentration Technologies as Thermal Energy Source of Industrial Processes in Spain," Energies, MDPI, vol. 11(11), pages 1-30, October.
    3. Muñoz-Anton, J. & Biencinto, M. & Zarza, E. & Díez, L.E., 2014. "Theoretical basis and experimental facility for parabolic trough collectors at high temperature using gas as heat transfer fluid," Applied Energy, Elsevier, vol. 135(C), pages 373-381.
    4. Farjana, Shahjadi Hisan & Huda, Nazmul & Mahmud, M.A. Parvez & Saidur, R., 2018. "Solar process heat in industrial systems – A global review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2270-2286.
    5. Long, Rui & Li, Baode & Liu, Zhichun & Liu, Wei, 2015. "Multi-objective optimization of a continuous thermally regenerative electrochemical cycle for waste heat recovery," Energy, Elsevier, vol. 93(P1), pages 1022-1029.
    6. Manikandan, G.K. & Iniyan, S. & Goic, Ranko, 2019. "Enhancing the optical and thermal efficiency of a parabolic trough collector – A review," Applied Energy, Elsevier, vol. 235(C), pages 1524-1540.
    7. Gil, Juan D. & Topa, A. & Álvarez, J.D. & Torres, J.L. & Pérez, M., 2022. "A review from design to control of solar systems for supplying heat in industrial process applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    8. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
    9. Liu, Xing & Wang, Xinzhi & Huang, Jian & Cheng, Gong & He, Yurong, 2018. "Volumetric solar steam generation enhanced by reduced graphene oxide nanofluid," Applied Energy, Elsevier, vol. 220(C), pages 302-312.
    10. Mohammad Zadeh, P. & Sokhansefat, T. & Kasaeian, A.B. & Kowsary, F. & Akbarzadeh, A., 2015. "Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid," Energy, Elsevier, vol. 82(C), pages 857-864.
    11. Ghazouani, Mokhtar & Bouya, Mohsine & Benaissa, Mohammed, 2020. "Thermo-economic and exergy analysis and optimization of small PTC collectors for solar heat integration in industrial processes," Renewable Energy, Elsevier, vol. 152(C), pages 984-998.
    12. González-Portillo, Luis F. & Muñoz-Antón, Javier & Martínez-Val, José M., 2017. "An analytical optimization of thermal energy storage for electricity cost reduction in solar thermal electric plants," Applied Energy, Elsevier, vol. 185(P1), pages 531-546.
    13. Pizzolato, A. & Donato, F. & Verda, V. & Santarelli, M. & Sciacovelli, A., 2017. "CSP plants with thermocline thermal energy storage and integrated steam generator – Techno-economic modeling and design optimization," Energy, Elsevier, vol. 139(C), pages 231-246.
    14. Sunil, & Sinha, Rahul & Chaitanya, Bathina & Rajan, Birendra Kumar & Agarwal, Anurag & Thakur, Ajay D. & Raj, Rishi, 2019. "Design, fabrication, and performance evaluation of a novel biomass-gasification-based hot water generation system," Energy, Elsevier, vol. 185(C), pages 148-157.
    15. Tian, Zhiyong & Perers, Bengt & Furbo, Simon & Fan, Jianhua, 2017. "Annual measured and simulated thermal performance analysis of a hybrid solar district heating plant with flat plate collectors and parabolic trough collectors in series," Applied Energy, Elsevier, vol. 205(C), pages 417-427.
    16. Isidoro Lillo & Elena Pérez & Sara Moreno & Manuel Silva, 2017. "Process Heat Generation Potential from Solar Concentration Technologies in Latin America: The Case of Argentina," Energies, MDPI, vol. 10(3), pages 1-22, March.
    17. Jannesari, Hamid & Babaei, Banafsheh, 2018. "Optimization of solar assisted heating system for electro-winning process in the copper complex," Energy, Elsevier, vol. 158(C), pages 957-966.
    18. Holl, Mario & Pelz, Peter F., 2016. "Multi-pole system analysis (MPSA) – A systematic method towards techno-economic optimal system design," Applied Energy, Elsevier, vol. 169(C), pages 937-949.

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