Modeling Thermochemical Energy Storage in a Solar Power Tower Plant: Dynamic Simulation
DOI:
https://doi.org/10.52825/solarpaces.v3i.2352Keywords:
Performance Assessment, Calcium-Looping, Modelica, Supercritical CO2Abstract
This work presents a dynamic model of a novel Concentrated Solar Power plant that integrates Thermochemical Energy Storage with Calcium-Looping and a supercritical CO2 Brayton power block. The aim is to provide a simulation tool to assess annual plant performance under realistic solar conditions. The model was developed using the Modelica language and simulated with OpenModelica. The configuration includes a heliostat field with a Solar Multiple of 1.8, 4 hours of TCES storage, and a 100 MWe sCO2 Brayton cycle. The system effectively manages energy generation and storage through advanced control strategies, including defocusing to prevent overcharging and efficient handling of startup and shutdown phases. A parametric analysis was conducted to identify the optimal configuration, considering SM and storage hours variations. The results indicate that the highest plant efficiency and an LCOE below 110 USD/MWh are achieved with a solar multiple of approximately 2.6 and storage capacities exceeding 16 hours, aligning with ranges considered commercially viable for CSP technologies. However, the system exhibits higher radiation losses at the receiver due to the elevated reaction temperature. Despite this, the study demonstrates the energetic viability of the integrated CSP-TCES system. The findings highlight the potential of the proposed system, although ongoing efforts are aimed at further enhancing the model’s accuracy.
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[1] M. Bailera, S. Pascual, P. Lisbona, and L. M. Romeo, “Modelling calcium looping at industrial scale for energy storage in concentrating solar power plants,” Energy, vol. 225, p. 120306, Jun. 2021, doi: 10.1016/J.ENERGY.2021.120306.
[2] B. Moghtaderi and A. Seyfaee, “A multi-scale experimental study on calcium-looping for thermochemical energy storage using the CO2 captured from power generation systems,” J Energy Storage, vol. 86, p. 111400, May 2024, doi: 10.1016/J.EST.2024.111400.
[3] R. Chacartegui, A. Alovisio, C. Ortiz, J. M. Valverde, V. Verda, and J. A. Becerra, “Thermochemical energy storage of concentrated solar power by integration of the calcium looping process and a CO2 power cycle,” Appl Energy, vol. 173, pp. 589–605, Jul. 2016, doi: 10.1016/j.apenergy.2016.04.053.
[4] U. Tesio, E. Guelpa, and V. Verda, “Integration of thermochemical energy storage in concentrated solar power. Part 1: Energy and economic analysis/optimization,” Energy Conversion and Management: X, vol. 6, p. 100039, Apr. 2020, doi: 10.1016/J.ECMX.2020.100039.
[5] Q. Xu, lwei Wang, Z. Li, and L. Shi, “A calcium looping system powered by renewable electricity for long-term thermochemical energy storage, residential heat supply and carbon capture,” Energy Convers Manag, vol. 276, p. 116592, Jan. 2023, doi: 10.1016/J.ENCONMAN.2022.116592.
[6] C. Ortiz, R. Chacartegui, J. M. Valverde, A. Alovisio, and J. A. Becerra, “Power cycles integration in concentrated solar power plants with energy storage based on calcium looping,” Energy Convers Manag, vol. 149, pp. 815–829, Oct. 2017, doi: 10.1016/j.enconman.2017.03.029.
[7] Carro, R. Chacartegui, C. Ortiz, and J. A. Becerra, “Indirect power cycles integration in concentrated solar power plants with thermochemical energy storage based on calci-um hydroxide technology,” J Clean Prod, vol. 421, p. 138417, Oct. 2023, doi: 10.1016/J.JCLEPRO.2023.138417.
[8] J. Zhao et al., “Particle-based high-temperature thermochemical energy storage reac-tors,” Prog Energy Combust Sci, vol. 102, p. 101143, May 2024, doi: 10.1016/J.PECS.2024.101143.
[9] Modelica Association, “Modelica® Language Specification version 3.6.” Accessed: Jul. 31, 2024. [Online]. Available: https://specification.modelica.org/maint/3.6/MLS.html
[10] de la Calle, J. Hinkley, P. Scott, and J. Pye, “SolarTherm: A New Modelica Library and Simulation Platform for Concentrating Solar Thermal Power Systems,” SNE Simula-tion Notes Europe, vol. 28, no. 3, pp. 101–103, Sep. 2018, doi: 10.11128/sne.28.sn.10427.
[11] P. Scott, A. D. L. C. Alonso, J. T. Hinkley, and J. Pye, “SolarTherm: A flexible Modeli-ca-based simulator for CSP systems,” AIP Conf Proc, vol. 1850, Jun. 2017, doi: 10.1063/1.4984560.
[12] H. Olsson, M. Otter, S. E. Mattsson, and H. Elmqvist, “Balanced Models in Modelica 3.0 for Increased Model Quality,” 2008.
[13] Meybodi, M. A., & Beath, A. C. (2016). Impact of cost uncertainties and solar data var-iations on the economics of central receiver solar power plants: An Australian case study. Renewable Energy, 93, 510–524. https://doi.org/10.1016/J.RENENE.2016.03.016.
[14] NIST, “Standard Reference Data | NIST.” Accessed: Nov. 12, 2023. [Online]. Availa-ble: https://www.nist.gov/srd
[15] H. Bell, J. Wronski, S. Quoilin, and V. Lemort, “Pure and pseudo-pure fluid thermo-physical property evaluation and the open-source thermophysical property library cool-prop,” Ind Eng Chem Res, vol. 53, no. 6, pp. 2498–2508, Feb. 2014, doi: 10.1021/IE4033999/SUPPL_FILE/IE4033999_SI_002.ZIP.
[16] M. Blanco-Muriel, D. C. Alarcón-Padilla, T. López-Moratalla, and M. Lara-Coira, “Computing the solar vector,” Solar Energy, vol. 70, no. 5, pp. 431–441, Jan. 2001, doi: 10.1016/S0038-092X(00)00156-0.
[17] M. J. Wagner and T. Wendelin, “SolarPILOT: A power tower solar field layout and characterization tool,” Solar Energy, vol. 171, pp. 185–196, Sep. 2018, doi: 10.1016/J.SOLENER.2018.06.063.
[18] Scaltsoyiannes and A. Lemonidou, “CaCO3 decomposition for calcium-looping appli-cations: Kinetic modeling in a fixed-bed reactor,” Chemical Engineering Science: X, vol. 8, p. 100071, Nov. 2020, doi: 10.1016/J.CESX.2020.100071.
[19] Ortiz, J. M. Valverde, R. Chacartegui, and L. A. Perez-Maqueda, “Carbonation of Limestone Derived CaO for Thermochemical Energy Storage: From Kinetics to Pro-cess Integration in Concentrating Solar Plants,” ACS Sustain Chem Eng, vol. 6, no. 5, pp. 6404–6417, May 2018, doi: 10.1021/ACSSUSCHEMENG.8B00199.
[20] de la Calle, A. Bayon, and Y. C. Soo Too, “Impact of ambient temperature on super-critical CO2 recompression Brayton cycle in arid locations: Finding the optimal design conditions,” Energy, vol. 153, pp. 1016–1027, Jun. 2018, doi: 10.1016/J.ENERGY.2018.04.019.
[21] Dyreby, “Modeling the Supercritical Carbon Dioxide Brayton Cycle with Recompres-sion,” 2014.
[22] Turchi, Craig S., Matthew Boyd, Devon Kesseli, Parthiv Kurup, Mark Mehos, Ty Neis-es, Prashant, Sharan, Michael Wagner, & Timothy Wendelin. (2019). CSP Systems Analysis – Final Project Report. In NREL. https://www.nrel.gov/docs/fy19osti/72856.pdf
[23] Bayon, A., Bader, R., Jafarian, M., Fedunik-Hofman, L., Sun, Y., Hinkley, J., Miller, S., & Lipiński, W. (2018). Techno-economic assessment of solid–gas thermochemical en-ergy storage systems for solar thermal power applications. Energy, 149, 473–484. https://doi.org/10.1016/J.ENERGY.2017.11.084.
[24] Starke, A. R., Cardemil, J. M., Bonini, V. R. B., Escobar, R., Castro-Quijada, M., & Vi-dela, Á. (2024). Assessing the performance of novel molten salt mixtures on CSP ap-plications. Applied Energy, 359, 122689. https://doi.org/10.1016/J.APENERGY.2024.122689.
[25] Alovisio, A., Chacartegui, R., Ortiz, C., Valverde, J. M., & Verda, V. (2017). Optimizing the CSP-Calcium Looping integration for Thermochemical Energy Storage. Energy Conversion and Management, 136, 85–98. https://doi.org/10.1016/j.enconman.2016.12.093.
[26] Bravo, R., Ortiz, C., Chacartegui, R., & Friedrich, D. (2021). Multi-objective optimisa-tion and guidelines for the design of dispatchable hybrid solar power plants with ther-mochemical energy storage. Applied Energy, 282, 116257. https://doi.org/10.1016/j.apenergy.2020.116257.
[27] de la Calle, A. Bayon, and J. Pye, “Techno-economic assessment of a high-efficiency, low-cost solar-thermal power system with sodium receiver, phase-change material storage, and supercritical CO2 recompression Brayton cycle,” Solar Energy, vol. 199, pp. 885–900, Mar. 2020, doi: 10.1016/J.SOLENER.2020.01.004.
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Copyright (c) 2025 Freddy Nieto, Alberto de la Calle, Rodrigo Escobar

This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2025-05-12
Published 2025-11-18