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Author Gerke, Brian F., author.

Title Modeling the interaction between energy efficiency and demand response on regional grid scales : preprint / Brian F. Gerke [and eight others]

Publication Info. Golden, CO : National Renewable Energy Laboratory, 2020.

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Description 1 online resource (16 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/CP ; 5500-77423
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5500-77423.
Note "September 2020."
"Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020"--Cover.
Bibliography Includes bibliographical references (pages 15-16).
Type Of Report Conference paper.
Funding Sponsored by National Renewable Energy Laboratory DE-AC36-08GO28308
Note Description based on online resource; title from PDF title page (NREL, viewed on Feb. 22, 2023).
Summary With increasing penetration of intermittent renewable generation at grid and distributed scales, flexible building loads can provide significant system value and support the evolving needs of the grid. The growing value of load flexibility may complicate the traditional separation between energy efficiency (EE) and demand response (DR). EE measures may compete in some cases with a building's DR capabilities but complement one another in other cases. EE can also increase or decrease the need for DR at the system level and change the availability of DR to meet system needs. In this study we present a bottom-up approach to modeling interactive effects between EE and DR in buildings within two regions of the US electricity grid. From a library of building simulation models for different buildings and climates, we synthesize system-level demand profiles and the impacts of potential future EE portfolios. Coupling the underlying building models with a database of DR-enabling technologies, we then compute the quantity of DR that can be delivered in each scenario. The results show that EE and DR interactions are largely driven by the timing of EE savings that are measure-specific and the coincidence with system peak demand that is region-specific. We also find that perspective of the impacts matters - for instance that some EE measures reduce the system need for DR but also reduce the DR potential. Our results imply that utility EE and DR programs developed without considering interactive effects may lead to increased grid-management challenges over the long term.
Subject ACEEE Summer Study on Energy Efficiency in Buildings.
Energy consumption -- United States.
Renewable energy sources -- United States.
Electric power distribution -- United States.
Smart power grids -- United States.
Énergie -- Consommation -- États-Unis.
Énergies renouvelables -- États-Unis.
Réseaux électriques intelligents -- États-Unis.
Electric power distribution
Energy consumption
Renewable energy sources
Smart power grids
United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Indexed Term buildings
demand response
energy efficiency
modeling
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
Standard No. 1668858 OSTI ID
0000-0003-4790-9812
0000-0003-3185-655X
0000-0002-4172-0456
0000-0002-0832-0880
Gpo Item No. 0430-P-04 (online)
Sudoc No. E 9.17:NREL/CP-5500-77423

 
    
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