Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids
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Develops a decision-making method to identify beneficial matches between excess renewable electricity and non-electric, dispatchable heat loads in remote Alaska microgrids. Uses HOMER Pro to model excess generation across multiple wind and solar build-out combinations and then quantifies alignment with heat uses such as space heating, water heating and treatment, and clothes drying (leveraging inherent thermal storage). Across three partner communities and hundreds of simulated combinations, the strongest matches were observed for high-penetration wind paired with clothes drying and space heating, supporting renewable-to-heat planning.
Citation Formats
TY - DATA
AB - Develops a decision-making method to identify beneficial matches between excess renewable electricity and non-electric, dispatchable heat loads in remote Alaska microgrids. Uses HOMER Pro to model excess generation across multiple wind and solar build-out combinations and then quantifies alignment with heat uses such as space heating, water heating and treatment, and clothes drying (leveraging inherent thermal storage). Across three partner communities and hundreds of simulated combinations, the strongest matches were observed for high-penetration wind paired with clothes drying and space heating, supporting renewable-to-heat planning.
AU - Bolt, Grace
A2 - Wilber, Michelle
A3 - Huang, Daisy
A4 - Sambor, Daniel J.
A5 - Aggarwal, Srijan
A6 - Whitney, Erin
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Wind energy
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Thermal energy systems
KW - TENs
KW - District energy
KW - Demand flexibility
KW - Load management
KW - Planning and design
KW - Planning
KW - Design
KW - Case studies
KW - Performance
KW - Local energy resources (LER)
LA - English
DA - 2022/03/25
PY - 2022
PB - University of Alaska Fairbanks
T1 - Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids
UR - https://cmix.openei.org/submissions/177
ER -
Bolt, Grace, et al. Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids. University of Alaska Fairbanks, 25 March, 2022, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/177.
Bolt, G., Wilber, M., Huang, D., Sambor, D., Aggarwal, S., & Whitney, E. (2022). Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids. [Data set]. C-MIX - Community Microgrid Information Exchange. University of Alaska Fairbanks. https://cmix.openei.org/submissions/177
Bolt, Grace, Michelle Wilber, Daisy Huang, Daniel J. Sambor, Srijan Aggarwal, and Erin Whitney. Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids. University of Alaska Fairbanks, March, 25, 2022. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/177
@misc{CMIX_Dataset_177,
title = {Modeling and Evaluating Beneficial Matches between Excess Renewable Power Generation and Non-Electric Heat Loads in Remote Alaska Microgrids},
author = {Bolt, Grace and Wilber, Michelle and Huang, Daisy and Sambor, Daniel J. and Aggarwal, Srijan and Whitney, Erin},
abstractNote = {Develops a decision-making method to identify beneficial matches between excess renewable electricity and non-electric, dispatchable heat loads in remote Alaska microgrids. Uses HOMER Pro to model excess generation across multiple wind and solar build-out combinations and then quantifies alignment with heat uses such as space heating, water heating and treatment, and clothes drying (leveraging inherent thermal storage). Across three partner communities and hundreds of simulated combinations, the strongest matches were observed for high-penetration wind paired with clothes drying and space heating, supporting renewable-to-heat planning.},
url = {https://cmix.openei.org/submissions/177},
year = {2022},
howpublished = {C-MIX - Community Microgrid Information Exchange, University of Alaska Fairbanks, https://cmix.openei.org/submissions/177},
note = {Accessed: 2026-06-18}
}
Details
Data from Mar 25, 2022
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
University of Alaska Fairbanks
Contact
Michelle Wilber
Authors
