Modelling and Optimizing CSP-PV Hybrid Systems Using the Hybrid Optimization and Performance Platform (HOPP)

Authors

DOI:

https://doi.org/10.52825/solarpaces.v1i.809

Keywords:

CSP-PV Hybrids, Performance Simulation, Design Optimization

Abstract

The hybridization of concentrating solar power (CSP) with thermal energy storage (TES), photovoltaics (PV), and electrochemical battery energy storage systems (BESS) has the potential to provide continuous, high-capacity-factor energy production at a lower cost than a PV-BESS or CSP with TES alone. Because of the system complexity of CSP technology, it is challenging to evaluate the technological and financial performance of a CSP-PV hybrid system without detailed modeling of annual operations. To address this challenge, we have developed a modeling framework for evaluating the performance and financial viability of CSP systems hybridized with PV and BESS technologies. This modeling effort incorporates CSP tower and trough configurations into an existing modeling tool recently developed by NREL, the Hybrid Optimization and Performance Platform (HOPP). This paper provides a brief overview of our methodology, as well as an example case study. CSP with TES hybridized with PV provides the best benefit-to-cost ratio compared to the other simulated technology combinations. However, for the conditions considered, this configuration only increases the benefit-to-cost ratio by about 1% compared to the CSP with TES configuration. The PV-BESS system provides the lowest benefit-to-cost ratio compared to the other configurations explored because of the relatively low capacity credit received by the system.

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References

K. Dykes, et al., “Opportunities for Research and Development of Hybrid Power Plants,” 2020. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5000-75026. https://www.nrel.gov/docs/fy20osti/75026.pdf.

W. T. Hamilton, et al., “Dispatch optimization of concentrating solar power with utility-scale photovoltaics,” Optimization and Engineering, vol. 21, no. 1, pp. 335-369. Mar 2020, doi: https://doi.org/10.1007/s11081-019-09449-y.

2021. “Renewable Power Generation Costs in 2020.” Report. International Renewable Energy Agency, Abu Dhabi. https://www.irena.org/publications/2021/Jun/Renewable-Power-Costs-in-2020.

R. Shan, et al. “Evaluating emerging long-duration energy storage technologies,” Renewable and Sustainable Energy Reviews, vol. 159, pp.112240, May, 2022, doi: https://doi.org/10.1016/j.rser.2022.112240.

C. A. Hunter, et al. “Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids,” Joule, vol. 5, no. 8, pp. 2077–2101, Aug., 2021, doi: https://doi.org/10.1016/j.joule.2021.06.018.

L.-g. Kong, et al. “Optimization of the hybrid solar power plants comprising photovoltaic and concentrating solar power using the butterfly algorithm,” Energy Conversion and Management, vol. 257, no. 1, pp. 115310, Apr., 2022, doi: https://doi.org/10.1016/j.enconman.2022.115310.

T. Liu, et al. “Techno-economic feasibility of solar power plants considering PV/CSP with electrical/thermal energy storage system,” Energy Conversion and Management, vol. 255, no. 1, pp. 115308, Mar., 2022, doi: https://doi.org/10.1016/j.enconman.2022.115308.

C. E. Tripp, et al. “Hybrid Optimization and Performance Platform (HOPP),” Computer software. Version 0.0.3. Nov., 2019, doi: https://doi.org/10.11578/dc.20210326.1.

System Advisor Model Version 2021.12.02 (SAM 2021.12.02). National Renewable Energy Laboratory. Golden, CO. https://sam.nrel.gov.

W. E. Hart, et al. “Pyomo — Optimization Modeling in Python,” 2nd ed., Vol. 67. Springer Optimization and Its Applications. Springer Cham, 2017, doi: https://doi.org/10.1007/978-3-319-58821-6.

W. Hamilton, et al. “Integrating Concentrating Solar Power Technologies into the Hybrid Optimization and Performance Platform (HOPP),” 2022. Report. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5700-82726. https://www.nrel.gov/docs/fy22osti/82726.pdf.

Solar Energy Technologies Office. “2030 Solar Cost Targets”. Visited on 03/01/2022. https://www.energy.gov/eere/solar/articles/2030-solar-cost-targets.

W. Cole, et al. “Cost Projections for Utility-Scale Battery Storage: 2021 Update,” 2021. Report. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-79236. https://www.nrel.gov/docs/fy21osti/79236.pdf.

P. Gagnon, et al. “Cambium Documentation: Version 2020,” 2020. Report. Golden, CO: National Renewable Energy Laboratory, NREL/TP-6A20-78239. https://www.nrel.gov/docs/fy21osti/78239.pdf.

W. Cole, et al. “2020 Standard Scenarios Report: A U.S. Electricity Sector Outlook,” 2020. Report. Golden, CO: National Renewable Energy Laboratory, NREL/TP-6A20-77442. https://www.nrel.gov/docs/fy21osti/77442.pdf.

The scikit-optimize Contributors. 2021. scikit-optimize Documentation Release 0.9.0. https://github.com/NREL/scikit-optimize/scikit-optimize.

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Published

2023-12-21

How to Cite

Hamilton, W., Martinek, J., Cox, J., & Newman, A. (2023). Modelling and Optimizing CSP-PV Hybrid Systems Using the Hybrid Optimization and Performance Platform (HOPP). SolarPACES Conference Proceedings, 1. https://doi.org/10.52825/solarpaces.v1i.809

Conference Proceedings Volume

Section

Analysis and Simulation of CSP and Hybridized Systems

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