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Title: Optimized dispatch in a first-principles concentrating solar power production model

Abstract

Concentrating solar power towers, which include a steam-Rankine cycle with molten salt thermal energy storage, is an emerging technology whose maximum effectiveness relies on an optimal operational and dispatch policy. Given parameters such as start-up and shut-down penalties, expected electricity price profiles, solar availability, and system interoperability requirements, this paper seeks a profit-maximizing solution that determines start-up and shut-down times for the power cycle and solar receiver, and the times at which to dispatch stored and instantaneous quantities of energy over a 48-h horizon at hourly fidelity. The mixed-integer linear program (MIP) is subject to constraints including: (i) minimum and maximum rates of start-up and shut-down, (ii) energy balance, including energetic state of the system as a whole and its components, (iii) logical rules governing the operational modes of the power cycle and solar receiver, and (iv) operational consistency between time periods. The novelty in this work lies in the successful integration of a dispatch optimization model into a detailed techno-economic analysis tool, specifically, the National Renewable Energy Laboratory's System Advisor Model (SAM). The MIP produces an optimized operating strategy, historically determined via a heuristic. Using several market electricity pricing profiles, we present comparative results for a system with andmore » without dispatch optimization, indicating that dispatch optimization can improve plant profitability by 5-20% and thereby alter the economics of concentrating solar power technology. While we examine a molten salt power tower system, this analysis is equally applicable to the more mature concentrating solar parabolic trough system with thermal energy storage.« less

Authors:
; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
OSTI Identifier:
1375110
Report Number(s):
NREL/JA-5500-67405
Journal ID: ISSN 0306-2619
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 203; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; dispatch optimization; grid integration; concentrating solar power; thermal energy storage; mixed-integer linear programming; systems analysis

Citation Formats

Wagner, Michael J., Newman, Alexandra M., Hamilton, William T., and Braun, Robert J. Optimized dispatch in a first-principles concentrating solar power production model. United States: N. p., 2017. Web. doi:10.1016/j.apenergy.2017.06.072.
Wagner, Michael J., Newman, Alexandra M., Hamilton, William T., & Braun, Robert J. Optimized dispatch in a first-principles concentrating solar power production model. United States. https://doi.org/10.1016/j.apenergy.2017.06.072
Wagner, Michael J., Newman, Alexandra M., Hamilton, William T., and Braun, Robert J. 2017. "Optimized dispatch in a first-principles concentrating solar power production model". United States. https://doi.org/10.1016/j.apenergy.2017.06.072.
@article{osti_1375110,
title = {Optimized dispatch in a first-principles concentrating solar power production model},
author = {Wagner, Michael J. and Newman, Alexandra M. and Hamilton, William T. and Braun, Robert J.},
abstractNote = {Concentrating solar power towers, which include a steam-Rankine cycle with molten salt thermal energy storage, is an emerging technology whose maximum effectiveness relies on an optimal operational and dispatch policy. Given parameters such as start-up and shut-down penalties, expected electricity price profiles, solar availability, and system interoperability requirements, this paper seeks a profit-maximizing solution that determines start-up and shut-down times for the power cycle and solar receiver, and the times at which to dispatch stored and instantaneous quantities of energy over a 48-h horizon at hourly fidelity. The mixed-integer linear program (MIP) is subject to constraints including: (i) minimum and maximum rates of start-up and shut-down, (ii) energy balance, including energetic state of the system as a whole and its components, (iii) logical rules governing the operational modes of the power cycle and solar receiver, and (iv) operational consistency between time periods. The novelty in this work lies in the successful integration of a dispatch optimization model into a detailed techno-economic analysis tool, specifically, the National Renewable Energy Laboratory's System Advisor Model (SAM). The MIP produces an optimized operating strategy, historically determined via a heuristic. Using several market electricity pricing profiles, we present comparative results for a system with and without dispatch optimization, indicating that dispatch optimization can improve plant profitability by 5-20% and thereby alter the economics of concentrating solar power technology. While we examine a molten salt power tower system, this analysis is equally applicable to the more mature concentrating solar parabolic trough system with thermal energy storage.},
doi = {10.1016/j.apenergy.2017.06.072},
url = {https://www.osti.gov/biblio/1375110}, journal = {Applied Energy},
issn = {0306-2619},
number = C,
volume = 203,
place = {United States},
year = {2017},
month = {10}
}