Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application
We are developing a novel concentrating solar electricity-generating technology that is both modular and dispatchable. Solar Thermoelectricity via Advanced Latent heat Storage (STEALS) uses concentrated solar flux to generate high-temperature thermal energy, which directly converts to electricity via thermoelectric generators (TEGs), stored within a phase-change material (PCM) for electricity generation at a later time, or both allowing for simultaneous charging of the PCM and electricity generation. STEALS has inherent features that drive its cost-competitive scale to be much smaller than current commercial concentrating solar power (CSP) plants. Most obvious is modularity of the solid-state TEG, which favors smaller scales in the kilowatt range as compared to CSP steam turbines, which are minimally 50 MWe for commercial power plants. Here, we present techno-economic and market analyses that show STEALS can be a cost-effective electricity-generating technology with particular appeal to small-scale microgrid applications. We evaluated levelized cost of energy (LCOE) for STEALS and for a comparable photovoltaic (PV) system with battery storage. For STEALS, we estimated capital costs and the LCOE as functions of the type of PCM including the use of recycled aluminum alloys, and evaluated the cost tradeoffs between plasma spray coatings and solution-based boron coatings that are applied to the wetted surfaces of the PCM subsystem. We developed a probabilistic cost model that accounts for uncertainties in the cost and performance inputs to the LCOE estimation. Our probabilistic model estimated LCOE for a 100-kWe STEALS system that had 5 hours of thermal storage and 8-10 hours of total daily power generation. For these cases, the solar multiple for the heliostat field varied between 1.12 and 1.5. We identified microgrids as a likely market for the STEALS system. We characterized microgrid markets in terms of nominal power, dispatchability, geographic location, and customer type, and specified additional features for STEALS that are needed to meet the needs of this growing power market.
Citation Formats
TY - DATA
AB - We are developing a novel concentrating solar electricity-generating technology that is both modular and dispatchable. Solar Thermoelectricity via Advanced Latent heat Storage (STEALS) uses concentrated solar flux to generate high-temperature thermal energy, which directly converts to electricity via thermoelectric generators (TEGs), stored within a phase-change material (PCM) for electricity generation at a later time, or both allowing for simultaneous charging of the PCM and electricity generation. STEALS has inherent features that drive its cost-competitive scale to be much smaller than current commercial concentrating solar power (CSP) plants. Most obvious is modularity of the solid-state TEG, which favors smaller scales in the kilowatt range as compared to CSP steam turbines, which are minimally 50 MWe for commercial power plants. Here, we present techno-economic and market analyses that show STEALS can be a cost-effective electricity-generating technology with particular appeal to small-scale microgrid applications. We evaluated levelized cost of energy (LCOE) for STEALS and for a comparable photovoltaic (PV) system with battery storage. For STEALS, we estimated capital costs and the LCOE as functions of the type of PCM including the use of recycled aluminum alloys, and evaluated the cost tradeoffs between plasma spray coatings and solution-based boron coatings that are applied to the wetted surfaces of the PCM subsystem. We developed a probabilistic cost model that accounts for uncertainties in the cost and performance inputs to the LCOE estimation. Our probabilistic model estimated LCOE for a 100-kWe STEALS system that had 5 hours of thermal storage and 8-10 hours of total daily power generation. For these cases, the solar multiple for the heliostat field varied between 1.12 and 1.5. We identified microgrids as a likely market for the STEALS system. We characterized microgrid markets in terms of nominal power, dispatchability, geographic location, and customer type, and specified additional features for STEALS that are needed to meet the needs of this growing power market.
AU - Glatzmaier, Gregory
A2 - Rea, Jonathan
A3 - Olsen, Michele
A4 - Oshman, Christopher
A5 - Hardin, Corey
A6 - Alleman, Jeff
A7 - Sharp, Jeff
A8 - Weigand, Rebecca
A9 - Campo, Darren
A10 - Hoeschele, Greg
A11 - Parilla, Parilla
A12 - Siegel, Nathan
A13 - Toberer, Eric
A14 - Ginley, David
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.1063/1.4984362
KW - Solar
KW - Photovoltaics
KW - PV
KW - Thermal energy systems
KW - TENs
KW - District energy
KW - Battery energy storage
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Financing
KW - Business models
KW - Utility integration
KW - Bulk-system Integration
KW - Case studies
KW - Performance
LA - English
DA - 2017/06/27
PY - 2017
PB - NLR
T1 - Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application
UR - https://doi.org/10.1063/1.4984362
ER -
Glatzmaier, Gregory, et al. Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application. NLR, 27 June, 2017, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1063/1.4984362.
Glatzmaier, G., Rea, J., Olsen, M., Oshman, C., Hardin, C., Alleman, J., Sharp, J., Weigand, R., Campo, D., Hoeschele, G., Parilla, P., Siegel, N., Toberer, E., & Ginley, D. (2017). Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://doi.org/10.1063/1.4984362
Glatzmaier, Gregory, Jonathan Rea, Michele Olsen, Christopher Oshman, Corey Hardin, Jeff Alleman, Jeff Sharp, Rebecca Weigand, Darren Campo, Greg Hoeschele, Parilla Parilla, Nathan Siegel, Eric Toberer, and David Ginley. Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application. NLR, June, 27, 2017. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1063/1.4984362
@misc{CMIX_Dataset_72,
title = {Solar Thermoelectricity via Advanced Latent Heat Storage: A Cost-Effective Small-Scale CSP Application},
author = {Glatzmaier, Gregory and Rea, Jonathan and Olsen, Michele and Oshman, Christopher and Hardin, Corey and Alleman, Jeff and Sharp, Jeff and Weigand, Rebecca and Campo, Darren and Hoeschele, Greg and Parilla, Parilla and Siegel, Nathan and Toberer, Eric and Ginley, David},
abstractNote = {We are developing a novel concentrating solar electricity-generating technology that is both modular and dispatchable. Solar Thermoelectricity via Advanced Latent heat Storage (STEALS) uses concentrated solar flux to generate high-temperature thermal energy, which directly converts to electricity via thermoelectric generators (TEGs), stored within a phase-change material (PCM) for electricity generation at a later time, or both allowing for simultaneous charging of the PCM and electricity generation. STEALS has inherent features that drive its cost-competitive scale to be much smaller than current commercial concentrating solar power (CSP) plants. Most obvious is modularity of the solid-state TEG, which favors smaller scales in the kilowatt range as compared to CSP steam turbines, which are minimally 50 MWe for commercial power plants. Here, we present techno-economic and market analyses that show STEALS can be a cost-effective electricity-generating technology with particular appeal to small-scale microgrid applications. We evaluated levelized cost of energy (LCOE) for STEALS and for a comparable photovoltaic (PV) system with battery storage. For STEALS, we estimated capital costs and the LCOE as functions of the type of PCM including the use of recycled aluminum alloys, and evaluated the cost tradeoffs between plasma spray coatings and solution-based boron coatings that are applied to the wetted surfaces of the PCM subsystem. We developed a probabilistic cost model that accounts for uncertainties in the cost and performance inputs to the LCOE estimation. Our probabilistic model estimated LCOE for a 100-kWe STEALS system that had 5 hours of thermal storage and 8-10 hours of total daily power generation. For these cases, the solar multiple for the heliostat field varied between 1.12 and 1.5. We identified microgrids as a likely market for the STEALS system. We characterized microgrid markets in terms of nominal power, dispatchability, geographic location, and customer type, and specified additional features for STEALS that are needed to meet the needs of this growing power market.},
url = {https://cmix.openei.org/submissions/72},
year = {2017},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://doi.org/10.1063/1.4984362},
note = {Accessed: 2026-10-11},
doi = {10.1063/1.4984362}
}
https://dx.doi.org/10.1063/1.4984362
Details
Data from Jun 27, 2017
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Jeffrey Alleman

