Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint

Gerke, Brian F.; Zhang, Cong; Satchwell, Andrew; Murthy, Samanvitha; Piette, Mary Ann; Present, Elaina; Wilson, Eric; Speake, Andrew; Adhikari, Rajendra

Title: Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint

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Abstract

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 thatmore »« less

Authors:

Gerke, Brian F.; Zhang, Cong; Satchwell, Andrew; Murthy, Samanvitha; Piette, Mary Ann;

^[1];

^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: 2020-09-22

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

OSTI Identifier:: 1668858

Report Number(s):: NREL/CP-5500-77423
MainId:27359;UUID:be800fbe-aa77-4572-95bf-4a31340122fc;MainAdminID:18522

DOE Contract Number:: AC36-08GO28308

Resource Type:: Conference

Resource Relation:: Conference: Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, 17-21 August 2020

Country of Publication:: United States

Language:: English

Subject:: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; buildings; demand response; energy efficiency; modeling

Citation Formats


                    Gerke, Brian F., Zhang, Cong, Satchwell, Andrew, Murthy, Samanvitha, Piette, Mary Ann, Present, Elaina, Wilson, Eric, Speake, Andrew, and Adhikari, Rajendra. Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint.  United States: N. p., 2020. 
        Web.

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                    Gerke, Brian F., Zhang, Cong, Satchwell, Andrew, Murthy, Samanvitha, Piette, Mary Ann, Present, Elaina, Wilson, Eric, Speake, Andrew, & Adhikari, Rajendra. Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint.  United States.

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                    Gerke, Brian F., Zhang, Cong, Satchwell, Andrew, Murthy, Samanvitha, Piette, Mary Ann, Present, Elaina, Wilson, Eric, Speake, Andrew, and Adhikari, Rajendra. 2020.  
        "Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint".  United States.  https://www.osti.gov/servlets/purl/1668858.

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@article{osti_1668858,

  title        = {Modeling the Interaction Between Energy Efficiency and Demand Response on Regional Grid Scales: Preprint},

  author       = {Gerke, Brian F. and Zhang, Cong and Satchwell, Andrew and Murthy, Samanvitha and Piette, Mary Ann and Present, Elaina and Wilson, Eric and Speake, Andrew and Adhikari, Rajendra},

  abstractNote = {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.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1668858},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2020},

  month        = {9}

}

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