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Multi-objective optimal design of solar power plants with storage systems according to dispatch strategy

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  • Zurita, Adriana
  • Mata-Torres, Carlos
  • Cardemil, José M.
  • Guédez, Rafael
  • Escobar, Rodrigo A.

Abstract

This study presents a comprehensive analysis evaluating the impact of the dispatch strategy on the optimal design configurations of different combinations of solar power plants with storage. The analysis considers four dispatch profiles (baseload, daylight, night, and daylight and evening), and four technology combinations including a solar PV plant with batteries, a CSP plant with Thermal Storage (TES), a hybrid CSP-PV plant with TES, and a hybrid CSP-PV plant with TES and batteries. Two locations with high and moderate levels of DNI were selected and cost scenarios for 2020 and 2030 were considered. The aim is to determine the competitiveness ranges of each technology combination and establishing the least-cost technological option that allows meeting a dispatch strategy with a certain level of supply guarantee. A multi-objective optimization approach was followed to obtain the trade-off curves that minimize the LCOE and maximize the sufficiency factor in terms of the nominal size of the PV plant, solar multiple, TES size, batteries capacity, and inverter power rate. Results of this work allow determining the influence of the dispatch strategy on the competitiveness of these storage-integrated technology options, giving relevant information concerning under which conditions one technology combination is preferable over another.

Suggested Citation

  • Zurita, Adriana & Mata-Torres, Carlos & Cardemil, José M. & Guédez, Rafael & Escobar, Rodrigo A., 2021. "Multi-objective optimal design of solar power plants with storage systems according to dispatch strategy," Energy, Elsevier, vol. 237(C).
  • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018752
    DOI: 10.1016/j.energy.2021.121627
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    1. Parrado, C. & Girard, A. & Simon, F. & Fuentealba, E., 2016. "2050 LCOE (Levelized Cost of Energy) projection for a hybrid PV (photovoltaic)-CSP (concentrated solar power) plant in the Atacama Desert, Chile," Energy, Elsevier, vol. 94(C), pages 422-430.
    2. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    3. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    4. Starke, Allan R. & Cardemil, José M. & Escobar, Rodrigo & Colle, Sergio, 2018. "Multi-objective optimization of hybrid CSP+PV system using genetic algorithm," Energy, Elsevier, vol. 147(C), pages 490-503.
    5. Abdelkader, Abbassi & Rabeh, Abbassi & Mohamed Ali, Dami & Mohamed, Jemli, 2018. "Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage," Energy, Elsevier, vol. 163(C), pages 351-363.
    6. Li, Rui & Dai, Yanjun & Cui, Guomin, 2019. "Multi-objective optimization of solar powered adsorption chiller combined with river water heat pump system for air conditioning and space heating application," Energy, Elsevier, vol. 189(C).
    7. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    8. Catalina Hernández Moris & Maria Teresa Cerda Guevara & Alois Salmon & Alvaro Lorca, 2021. "Comparison between Concentrated Solar Power and Gas-Based Generation in Terms of Economic and Flexibility-Related Aspects in Chile," Energies, MDPI, vol. 14(4), pages 1-20, February.
    9. Köberle, Alexandre C. & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2015. "Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation," Energy, Elsevier, vol. 89(C), pages 739-756.
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    2. Laporte-Azcué, M. & Rodríguez-Sánchez, M.R., 2024. "Thermal efficiency and endurance enhancement of tubular solar receivers using functionally graded materials," Applied Energy, Elsevier, vol. 360(C).
    3. He, Yi & Guo, Su & Dong, Peixin & Wang, Chen & Huang, Jing & Zhou, Jianxu, 2022. "Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index," Applied Energy, Elsevier, vol. 328(C).
    4. Josué F. Rosales-Pérez & Andrés Villarruel-Jaramillo & José A. Romero-Ramos & Manuel Pérez-García & José M. Cardemil & Rodrigo Escobar, 2023. "Hybrid System of Photovoltaic and Solar Thermal Technologies for Industrial Process Heat," Energies, MDPI, vol. 16(5), pages 1-45, February.
    5. Castillejo-Cuberos, A. & Cardemil, J.M. & Escobar, R., 2023. "Techno-economic assessment of photovoltaic plants considering high temporal resolution and non-linear dynamics of battery storage," Applied Energy, Elsevier, vol. 334(C).
    6. Yao, Lingxiang & Xiao, Xianyong & Wang, Yang & Yao, Xiaoming & Ma, Zhicheng, 2022. "Dynamic modeling and hierarchical control of a concentrated solar power plant with direct molten salt storage," Energy, Elsevier, vol. 252(C).
    7. He, Yi & Guo, Su & Zhou, Jianxu & Song, Guotao & Kurban, Aynur & Wang, Haowei, 2022. "The multi-stage framework for optimal sizing and operation of hybrid electrical-thermal energy storage system," Energy, Elsevier, vol. 245(C).
    8. Starke, Allan R. & Cardemil, José M. & Bonini, Vinicius R.B. & Escobar, Rodrigo & Castro-Quijada, Matías & Videla, Álvaro, 2024. "Assessing the performance of novel molten salt mixtures on CSP applications," Applied Energy, Elsevier, vol. 359(C).

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