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Title: Black-Box Optimization for Design of Concentrating Solar Power and Photovoltaic Hybrid Systems with Optimal Dispatch Decisions

Abstract

The hybridization of concentrating solar power (CSP) and photovoltaics (PV) can enable dispatchable renewable electricity generation at a lower price than current stand-alone CSP systems. However, designing a CSP-PV hybrid system can be challenging because of the many degrees of freedom in design that affect the internal and external system interactions and trade-offs. We develop a methodology to determine optimal designs for CSP-PV hybrids by implementing NLopt's derivative-free, or “black-box,” algorithms around pre-existing CSP-PV hybrid simulation software that utilizes the National Renewable Energy Laboratory’s System Advisor Model (SAM); we then employ a dispatch optimization model to determine operational decisions that maximize a plant’s profits. We present optimal designs for CSP-PV hybrid systems dispatching against four time-of-delivery (ToD) pricing structures. NLopt’s algorithms can improve the base case design’s power purchase agreement (PPA) price by 15% to 21%, depending on the ToD pricing structure. In addition, we present the resulting optimal CSP-PV hybrid design’s annual performance metrics, which tend to have capacity factors between 50% and 62%, but are able to generate electricity during the year’s highest-valued periods about 90% of the time. Lastly, we investigate the trade-offs between capacity factor and PPA price using Pareto fronts and demonstrate that, for somemore » ToD pricing structures, the system capacity factor can increase by 20% but at the expense of a 2% increase in PPA price.« less

Authors:
; ORCiD logo; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1760674
Report Number(s):
NREL/CP-5700-78823
MainId:32740;UUID:5b5fdc51-d62f-49b7-a65b-856442e1a802;MainAdminID:19138
DOE Contract Number:  
DE-AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at SolarPACES 2019: International Conference on Concentrating Solar Power and Chemical Energy Systems, 1-4 October 2019, Daegu, South Korea
Country of Publication:
United States
Language:
English
Subject:
OTHER INSTRUMENTATION,SOLAR ENERGY; software engineering; public policy and governance; concentrated solar power; black-box; electricity generation; photovoltaics; capacity factor

Citation Formats

Hamilton, William T., Wagner, Michael J., Newman, Alexandra M., and Braun, Robert J. Black-Box Optimization for Design of Concentrating Solar Power and Photovoltaic Hybrid Systems with Optimal Dispatch Decisions. United States: N. p., 2020. Web. doi:10.1063/5.0028962.
Hamilton, William T., Wagner, Michael J., Newman, Alexandra M., & Braun, Robert J. Black-Box Optimization for Design of Concentrating Solar Power and Photovoltaic Hybrid Systems with Optimal Dispatch Decisions. United States. https://doi.org/10.1063/5.0028962
Hamilton, William T., Wagner, Michael J., Newman, Alexandra M., and Braun, Robert J. 2020. "Black-Box Optimization for Design of Concentrating Solar Power and Photovoltaic Hybrid Systems with Optimal Dispatch Decisions". United States. https://doi.org/10.1063/5.0028962.
@article{osti_1760674,
title = {Black-Box Optimization for Design of Concentrating Solar Power and Photovoltaic Hybrid Systems with Optimal Dispatch Decisions},
author = {Hamilton, William T. and Wagner, Michael J. and Newman, Alexandra M. and Braun, Robert J.},
abstractNote = {The hybridization of concentrating solar power (CSP) and photovoltaics (PV) can enable dispatchable renewable electricity generation at a lower price than current stand-alone CSP systems. However, designing a CSP-PV hybrid system can be challenging because of the many degrees of freedom in design that affect the internal and external system interactions and trade-offs. We develop a methodology to determine optimal designs for CSP-PV hybrids by implementing NLopt's derivative-free, or “black-box,” algorithms around pre-existing CSP-PV hybrid simulation software that utilizes the National Renewable Energy Laboratory’s System Advisor Model (SAM); we then employ a dispatch optimization model to determine operational decisions that maximize a plant’s profits. We present optimal designs for CSP-PV hybrid systems dispatching against four time-of-delivery (ToD) pricing structures. NLopt’s algorithms can improve the base case design’s power purchase agreement (PPA) price by 15% to 21%, depending on the ToD pricing structure. In addition, we present the resulting optimal CSP-PV hybrid design’s annual performance metrics, which tend to have capacity factors between 50% and 62%, but are able to generate electricity during the year’s highest-valued periods about 90% of the time. Lastly, we investigate the trade-offs between capacity factor and PPA price using Pareto fronts and demonstrate that, for some ToD pricing structures, the system capacity factor can increase by 20% but at the expense of a 2% increase in PPA price.},
doi = {10.1063/5.0028962},
url = {https://www.osti.gov/biblio/1760674}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {12}
}

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Works referenced in this record:

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