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Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy

The buildings sector can provide important demand-side flexibility for the integration of renewable energy. With the changing power system and rapid advancement in building energy control technology, technology providers and demand response aggregators need to know what potential revenues could be o...

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Detalles Bibliográficos
Autores principales: Zhou, Ella, Hale, Elaine, Present, Elaina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293746/
https://www.ncbi.nlm.nih.gov/pubmed/35865980
http://dx.doi.org/10.1016/j.heliyon.2022.e09865
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author Zhou, Ella
Hale, Elaine
Present, Elaina
author_facet Zhou, Ella
Hale, Elaine
Present, Elaina
author_sort Zhou, Ella
collection PubMed
description The buildings sector can provide important demand-side flexibility for the integration of renewable energy. With the changing power system and rapid advancement in building energy control technology, technology providers and demand response aggregators need to know what potential revenues could be obtained by providing grid services. We dispatch a normalized and parameterized model of building load shifting against marginal service prices from grid investment and operational models to produce a database of the capacity, energy, and ancillary service revenues (gross value of providing bulk power system services) for a marginal kilowatt-hour (kWh) of shiftable load. The database is geographically disaggregated, hourly, and parameterized so that flexibility value can be estimated for a wide range of building technologies. The database covers the contiguous United States under three 2030 grid scenarios. Given the high degree of uncertainty in such grid projections, the results are perhaps best interpreted in terms of regional climate and grid mixes and are thus potentially applicable in non-U.S. contexts. Upon analyzing the results, we find the monthly mean gross value of building load shifting is 0–38 cents/kWh-day and the daily gross value of shifting the highest-value hour each day can be up to 620 cents/kWh-day. The different revenues obtained by aggregating results in different ways, as well as observed regional and seasonal differences, suggest different building technologies and grid environments might call for demand response program designs and business models.
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spelling pubmed-92937462022-07-20 Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy Zhou, Ella Hale, Elaine Present, Elaina Heliyon Research Article The buildings sector can provide important demand-side flexibility for the integration of renewable energy. With the changing power system and rapid advancement in building energy control technology, technology providers and demand response aggregators need to know what potential revenues could be obtained by providing grid services. We dispatch a normalized and parameterized model of building load shifting against marginal service prices from grid investment and operational models to produce a database of the capacity, energy, and ancillary service revenues (gross value of providing bulk power system services) for a marginal kilowatt-hour (kWh) of shiftable load. The database is geographically disaggregated, hourly, and parameterized so that flexibility value can be estimated for a wide range of building technologies. The database covers the contiguous United States under three 2030 grid scenarios. Given the high degree of uncertainty in such grid projections, the results are perhaps best interpreted in terms of regional climate and grid mixes and are thus potentially applicable in non-U.S. contexts. Upon analyzing the results, we find the monthly mean gross value of building load shifting is 0–38 cents/kWh-day and the daily gross value of shifting the highest-value hour each day can be up to 620 cents/kWh-day. The different revenues obtained by aggregating results in different ways, as well as observed regional and seasonal differences, suggest different building technologies and grid environments might call for demand response program designs and business models. Elsevier 2022-07-12 /pmc/articles/PMC9293746/ /pubmed/35865980 http://dx.doi.org/10.1016/j.heliyon.2022.e09865 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Zhou, Ella
Hale, Elaine
Present, Elaina
Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title_full Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title_fullStr Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title_full_unstemmed Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title_short Building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
title_sort building flexibility revenue in modeled future bulk power systems with varying levels of renewable energy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293746/
https://www.ncbi.nlm.nih.gov/pubmed/35865980
http://dx.doi.org/10.1016/j.heliyon.2022.e09865
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