Journal article
Optimized Salt Selection for Solar Thermal Latent Heat Energy Storage
Advanced Sustainable Systems, Vol.2(11), pp.1-8
2018
Abstract
For solar thermal power to be cost effective as a baseload generation paradigm, the cost and efficiency of every subsystem must be improved. To reduce the cost of thermal storage and increase the working temperature of the subsystems for greater efficiency, appropriate storage materials must be identified for study. Unfortunately, there is an enormous search space of salt mixtures that are suitable candidates for thermal storage and must be analyzed for cost effectiveness to determine which candidates are the best. To lessen the experimental burden, this article combines previously validated theories for estimating the properties of salt mixtures with an analytic design optimization method to better estimate the true cost of each candidate. Five hundred and sixty three binary, ternary, and quaternary mixtures are analyzed. Five mixtures are identified as the prime candidates for a cascaded latent heat thermal energy storage system for a supercritical CO2 Brayton cycle generator. This system is cheaper than the Sunshot Initiative cost targets, bringing the solar thermal paradigm into cost competition with fossil fuels.
Details
- Title
- Optimized Salt Selection for Solar Thermal Latent Heat Energy Storage
- Authors
- Ralf Raud (Author) - Queensland University of TechnologyStuart Bell (Author) - Queensland University of TechnologyTeng-Cheong Ong (Corresponding Author) - Queensland University of TechnologyGeoffrey Will (Author) - Queensland University of TechnologyTheodore A. Steinberg (Author) - Queensland University of Technology
- Publication details
- Advanced Sustainable Systems, Vol.2(11), pp.1-8
- Publisher
- Wiley-VCH Verlag GmbH & Co. KGaA
- DOI
- 10.1002/adsu.201800074
- ISSN
- 2366-7486
- Grant note
- Australian Renewable Energy Agency (ARENA) ASTRI
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99737993702621
- Output Type
- Journal article
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- Web Of Science research areas
- Green & Sustainable Science & Technology
- Materials Science, Multidisciplinary
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Source: InCites