Optimization of the Design and Operation of Hybrid CSP-PV-Wind Plants
DOI:
https://doi.org/10.52825/solarpaces.v2i.969Keywords:
Hybridization, CSP-Wind Integration, CSP-EH Integration, OptimizationAbstract
This work investigates potential benefits deriving from the integration of CSP plants with other renewable technologies, such as PV and Wind. An optimization tool, based on mixed-integer linear programming, is used to derive the optimal design of a hybrid plant located in the south of Italy (Sicily) with the objective of satisfying a fraction of the national-shaped, hourly variable, electrical load. A sensitivity analysis is performed to explore the Pareto front of solutions satisfying different dispatchability requirements in terms of demand coverage. As expected, increasingly oversized and expensive plant designs, characterized by high Levelized Cost of Electricity (LCOE), are necessary to satisfy larger fractions of the imposed load. Subsequently, the benefits of hybrid plants with respect to conventional standalone or partially integrated solutions are investigated: in particular, the results of this analysis clearly demonstrated that integrated CSP+PV+Wind configurations can reach the same or higher dispatchability level (i.e. 80%) at a much lower electricity cost with respect to (i) separate production (stand-alone PV, Wind and CSP) and (ii) configurations characterized by a lower level of integration (36% and 12% reduction of LCOE with respect to CSP+PV and CSP+Wind, respectively).
Downloads
References
[1] IRENA, “Renewable Power Generation Cost in 2021,” 2021.
[2] C. S. Turchi et al., “CSP Systems Analysis - Final Project,” Nrel/TP-5500-72856, no. May, 2019, [Online]. Available: www.nrel.gov/publications.
[3] L. Pilotti et al., “Simultaneous design and operational optimization of hybrid CSP-PV plants,” Appl. Energy, vol. 331, no. November 2022, p. 120369, Aug. 2023, doi: https://doi.org/10.1016/j.apenergy.2022.120369.
[4] TERNA S.p.A., “Download center.” https://www.terna.it/it/sistema-elettrico/transparency-report/download-center.
[5] SAM, “Home - System Advisor Model (SAM),” NREL, 2020. https://sam.nrel.gov/ (accessed Jun. 30, 2021).
[6] “THERMOFLEX - General Purpose Program - Heat Balance Software.” https://www.thermoflow.com/products_generalpurpose.html (accessed Jun. 17, 2021).
[7] M. Zatti et al., “k-MILP: A novel clustering approach to select typical and extreme days for multi-energy systems design optimization,” Energy, vol. 181, pp. 1051–1063, 2019, doi: https://doi.org/10.1016/j.energy.2019.05.044.
[8] “Vestas V136 - 3.45 MW.” https://www.vestas.com/en/products/4-mw-platform/V136-3-45-MW (accessed Sep. 15, 2023).
[9] A. Agrillo et al., “Rapporto Statistico 2020 Energia,” p. 176, 2020.
[10] M. Hoffmann, L. Kotzur, D. Stolten, and M. Robinius, “A review on time series aggregation methods for energy system models,” Energies, vol. 13, no. 3. p. 641, Feb. 03, 2020, doi: https://doi.org/10.3390/en13030641.
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Lorenzo Pilotti, Giampaolo Manzolini, Walter Gaggioli, Antonio Guglielmo, Emanuele Martelli, Marco Binotti
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2024-07-10
Published 2024-09-16
Funding data
-
Ministero della transizione ecologica
Grant numbers Project 1.9 “Solar thermodynamics”,