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Title: Predictive performance modeling framework for a novel enclosed particle receiver configuration and application for thermochemical energy storage

Abstract

Concentrating solar power (CSP) plants can provide dispatchable power with a thermal energy storage capability for increased renewable-energy grid penetration. Particle-based CSP systems permit higher temperatures, and thus, potentially higher solar-to-electric efficiency than state-of-the-art molten-salt heat-transfer systems. This paper describes a detailed numerical analysis framework for estimating the performance of a novel, geometrically complex, enclosed particle receiver design. The receiver configuration uses arrays of small tubular absorbers to collect and subsequently transfer solar energy to a flowing particulate medium. The enclosed nature of the receiver design renders it amenable to either an inert heat-transfer medium, or a reactive heat-transfer medium that requires a controllable ambient environment. The numerical analysis framework described in this study is demonstrated for the case of thermal reduction of CaCr0.1Mn0.9O3-$$\delta$$ for thermochemical energy storage. The modeling strategy consists of Monte Carlo ray tracing for absorbed solar-energy distributions from a surround heliostat field, computational fluid dynamics modeling of small-scale local tubular arrays, surrogate response surfaces that approximately capture simulated tubular array performance, a quasi-two-dimensional reduced-order description of counter-flow reactive solids and purge gas, and a radiative exchange model applied to embedded-cavity structures at the size scale of the full receiver. In this work we apply the numerical analysis strategy to a single receiver configuration, but the framework can be generically applicable to alternative enclosed designs. In conclusion, we assess sensitivity of receiver performance to surface optical properties, heat-transfer coefficients, solids outlet temperature, and purge-gas feed rates, and discuss the significance of model assumptions and results for future receiver development.

Authors:
 [1];  [1]; ORCiD logo [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
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:
1436227
Alternate Identifier(s):
OSTI ID: 1548466
Report Number(s):
NREL/JA-5500-70565
Journal ID: ISSN 0038-092X
Grant/Contract Number:  
AC36-08GO28308; EE0001586; EE0006537; AC36-08-GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Solar Energy
Additional Journal Information:
Journal Volume: 166; Journal Issue: C; Journal ID: ISSN 0038-092X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 47 OTHER INSTRUMENTATION; concentrating solar power; heat transfer; modeling; particle; thermochemical energy storage

Citation Formats

Martinek, Janna, Wendelin, Timothy, and Ma, Zhiwen. Predictive performance modeling framework for a novel enclosed particle receiver configuration and application for thermochemical energy storage. United States: N. p., 2018. Web. doi:10.1016/j.solener.2018.03.051.
Martinek, Janna, Wendelin, Timothy, & Ma, Zhiwen. Predictive performance modeling framework for a novel enclosed particle receiver configuration and application for thermochemical energy storage. United States. https://doi.org/10.1016/j.solener.2018.03.051
Martinek, Janna, Wendelin, Timothy, and Ma, Zhiwen. Thu . "Predictive performance modeling framework for a novel enclosed particle receiver configuration and application for thermochemical energy storage". United States. https://doi.org/10.1016/j.solener.2018.03.051. https://www.osti.gov/servlets/purl/1436227.
@article{osti_1436227,
title = {Predictive performance modeling framework for a novel enclosed particle receiver configuration and application for thermochemical energy storage},
author = {Martinek, Janna and Wendelin, Timothy and Ma, Zhiwen},
abstractNote = {Concentrating solar power (CSP) plants can provide dispatchable power with a thermal energy storage capability for increased renewable-energy grid penetration. Particle-based CSP systems permit higher temperatures, and thus, potentially higher solar-to-electric efficiency than state-of-the-art molten-salt heat-transfer systems. This paper describes a detailed numerical analysis framework for estimating the performance of a novel, geometrically complex, enclosed particle receiver design. The receiver configuration uses arrays of small tubular absorbers to collect and subsequently transfer solar energy to a flowing particulate medium. The enclosed nature of the receiver design renders it amenable to either an inert heat-transfer medium, or a reactive heat-transfer medium that requires a controllable ambient environment. The numerical analysis framework described in this study is demonstrated for the case of thermal reduction of CaCr0.1Mn0.9O3-$\delta$ for thermochemical energy storage. The modeling strategy consists of Monte Carlo ray tracing for absorbed solar-energy distributions from a surround heliostat field, computational fluid dynamics modeling of small-scale local tubular arrays, surrogate response surfaces that approximately capture simulated tubular array performance, a quasi-two-dimensional reduced-order description of counter-flow reactive solids and purge gas, and a radiative exchange model applied to embedded-cavity structures at the size scale of the full receiver. In this work we apply the numerical analysis strategy to a single receiver configuration, but the framework can be generically applicable to alternative enclosed designs. In conclusion, we assess sensitivity of receiver performance to surface optical properties, heat-transfer coefficients, solids outlet temperature, and purge-gas feed rates, and discuss the significance of model assumptions and results for future receiver development.},
doi = {10.1016/j.solener.2018.03.051},
journal = {Solar Energy},
number = C,
volume = 166,
place = {United States},
year = {Thu Apr 05 00:00:00 EDT 2018},
month = {Thu Apr 05 00:00:00 EDT 2018}
}

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Cited by: 11 works
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