Multi-objective optimization of PV-CSP system in different dispatch strategies, case of study: Midelt city

Photovoltaic-concentrated solar power (PV-CSP) hybridization has been experienced to combine the competitive advantages of the low cost of PV systems and the high energy dispatchability of a CSP plant coupled with a thermal storage system. The objective of this paper is to implement an optimization study of the PV-CSP system under different dispatch strategies, in order to get an optimal PV-CSP configuration and strategy to cover a baseload generation taking into account the equivalent operating hours for the power block. Therefore, a model of PV-CSP plant was established and a multi-objective optimization using the genetic algorithm was adopted. The purpose of the first optimization is to minimize the levelized cost of electricity (LCOE) and to maximize the capacity factor simultaneously. For the second optimization, reducing the dumped energy is added as a criterion. The results obtained were presented in a Pareto frontier that shows a trade-off between the three objectives. An example of the multi-criteria decision method called the TOPSIS method was applied to choose a unique solution. The selection of the dispatch strategy is highly linked to the optimal PV-CSP configuration obtained by optimization results. In addition, the concept of equivalent operating hours is used to further the selection of the dispatch strategy. The dispatch strategy that maintains the power block operation at minimum rated power is more suitable and results in a high capacity factor, low LCOE, and low dumped energy. Furthermore, it minimizes the turbine starts and maximizes power block operating hours. The simulation model has been investigated in a case study of Midelt city in Morocco.

[1]  Aymeric Girard,et al.  2050 LCOE (Levelized Cost of Energy) projection for a hybrid PV (photovoltaic)-CSP (concentrated solar power) plant in the Atacama Desert, Chile , 2016 .

[2]  Frank Dinter,et al.  Combination of PV and central receiver CSP plants for base load power generation in South Africa , 2017 .

[3]  Werner Platzer,et al.  PV–Enhanced Solar Thermal Power , 2014 .

[4]  Rodrigo Escobar,et al.  Assessing the performance of hybrid CSP+PV plants in northern Chile , 2016 .

[5]  A. Green,et al.  High Capacity Factor CSP-PV Hybrid Systems☆ , 2015 .

[6]  P. Drobinski,et al.  Adequacy of Renewable Energy Mixes with Concentrated Solar Power and Photovoltaic in Morocco: Impact of Thermal Storage and Cost , 2020, Energies.

[7]  Canbing Li,et al.  Capacity configuration of hybrid CSP/PV plant for economical application of solar energy , 2020 .

[8]  Rodrigo Escobar,et al.  Techno-economic evaluation of a hybrid CSP + PV plant integrated with thermal energy storage and a large-scale battery energy storage system for base generation , 2018, Solar Energy.

[9]  Yulong Wang,et al.  Optimization study of thermal-storage PV-CSP integrated system based on GA-PSO algorithm , 2019, Solar Energy.

[10]  Federico Dominio,et al.  Techno-economic analysis of hybrid PV-CSP power plants.Advantages and disadvantages of intermediate and peak load operation , 2014 .

[11]  Ying Chen,et al.  Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy , 2018, International Journal of Photoenergy.

[12]  Rodrigo Escobar,et al.  CSP + PV hybrid solar plants for power and water cogeneration in northern Chile , 2017 .

[13]  Changhai Peng,et al.  The Effect of Photovoltaic Panels on the Rooftop Temperature in the EnergyPlus Simulation Environment , 2016 .

[14]  Chao Xu,et al.  A review on the development of photovoltaic/concentrated solar power (PV-CSP) hybrid systems , 2017 .

[15]  T. Bouhal,et al.  Technical feasibility of a sustainable Concentrated Solar Power in Morocco through an energy analysis , 2018 .

[16]  Ahmed M. Soliman,et al.  Tilt and azimuth angles in solar energy applications – A review , 2017 .

[17]  A. Awan,et al.  Design and comparative analysis of photovoltaic and parabolic trough based CSP plants , 2019, Solar Energy.

[18]  Javier López Carvajal,et al.  PV integration into a CSP plant , 2017 .

[19]  Rongrong Zhai,et al.  The daily and annual technical-economic analysis of the thermal storage PV-CSP system in two dispatch strategies , 2017 .

[20]  Minoru Yuasa,et al.  Molten salt parabolic trough system with synthetic oil preheating , 2017 .

[21]  Kevin Larchet,et al.  Solar PV-CSP Hybridisation for Baseload Generation : A Techno-economic Analysis for the Chilean Market , 2015 .

[22]  D. Cocco,et al.  Optimal design of a hybrid CSP-PV plant for achieving the full dispatchability of solar energy power plants , 2016 .

[23]  Mohamed Cherkaoui,et al.  Modelling and Assessing the Performance of Hybrid PV-CSP Plants in Morocco: A Parametric Study , 2019, International Journal of Photoenergy.

[24]  P. Gilman,et al.  SAM Photovoltaic Model Technical Reference , 2015 .

[25]  Werner J. Platzer,et al.  Combined solar thermal and photovoltaic power plants - An approach to 24h solar electricity? , 2016 .

[26]  Ki-Hyun Kim,et al.  Solar energy: Potential and future prospects , 2018 .

[27]  Abdelkader Mami,et al.  Bi-objective optimization of a standalone hybrid PV–Wind–battery system generation in a remote area in Tunisia , 2018, Sustainable Energy, Grids and Networks.

[28]  Lin Chen,et al.  Recent advances in the PV-CSP hybrid solar power technology , 2017 .

[29]  W. Beckman,et al.  Solar Engineering of Thermal Processes: Duffie/Solar Engineering 4e , 2013 .

[30]  Michael J. Wagner,et al.  Technical Manual for the SAM Physical Trough Model , 2011 .

[31]  K. Sudhakar,et al.  Modeling and performance simulation of 100 MW LFR based solar thermal power plant in Udaipur India , 2017, Resource-Efficient Technologies.

[32]  Vasiliki Balioti,et al.  Multi-Criteria Decision Making Using TOPSIS Method Under Fuzzy Environment. Application in Spillway Selection , 2018, Proceedings.

[33]  Nidal Abu-Hamdeh,et al.  Optimal selection and techno-economic analysis of a hybrid power generation system , 2019, Journal of Renewable and Sustainable Energy.

[34]  James Spelling,et al.  Reducing the Number of Turbine Starts in Concentrating Solar Power Plants Through the Integration of Thermal Energy Storage , 2015 .

[35]  Daniele Cocco,et al.  A hybrid CSP–CPV system for improving the dispatchability of solar power plants , 2016 .

[36]  Martin János Mayer,et al.  Techno-economic optimization of grid-connected, ground-mounted photovoltaic power plants by genetic algorithm based on a comprehensive mathematical model , 2020 .

[37]  William T. Hamilton,et al.  Dispatch optimization of concentrating solar power with utility-scale photovoltaics , 2020, Optimization and Engineering.

[38]  A. Yasin The Impact of Dispatchability of Parabolic Trough CSP Plants over PV Power Plants in Palestinian Territories , 2019, International Journal of Photoenergy.