Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

Sheppy, Michael; Beach, A.; Pless, Shanti

doi:10.7799/1432675

Title: Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

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Abstract

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

Authors:: Sheppy, Michael; Beach, A.; Pless, Shanti

Publication Date:: Tue Aug 09 00:00:00 EDT 2016

Other Number(s):: 40

DOE Contract Number:: GO28308

Research Org.:: National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Federal Energy Management Program Office

Subject:: 47 OTHER INSTRUMENTATION; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION

Keywords:: NREL; energy; data; energy conservation; consumption; utilization; mathematics and computing research; Research Support Facility; RSF; Golden; Colorado; control strategy; energy modeling; electricity; resources; buildings; building systems; energy analysis

Geolocation:: 39.741853237961,-105.16997119716|39.740104268055,-105.16997119716|39.740104268055,-105.17252466014|39.741853237961,-105.17252466014|39.741853237961,-105.16997119716

OSTI Identifier:: 1432675

DOI:: https://doi.org/10.7799/1432675

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                    Sheppy, Michael, Beach, A., and Pless, Shanti. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets.  United States: N. p., 2016. 
        Web.  doi:10.7799/1432675.

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                    Sheppy, Michael, Beach, A., & Pless, Shanti. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets.  United States.  doi:https://doi.org/10.7799/1432675

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                    Sheppy, Michael, Beach, A., and Pless, Shanti. 2016.  
"Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets".  United States.  doi:https://doi.org/10.7799/1432675.  https://www.osti.gov/servlets/purl/1432675. Pub date:Tue Aug 09 00:00:00 EDT 2016

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@article{osti_1432675,

  title        = {Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets},

  author       = {Sheppy, Michael and Beach, A. and Pless, Shanti},

  abstractNote = {Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.},

  doi          = {10.7799/1432675},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Aug 09 00:00:00 EDT 2016},

  month        = {Tue Aug 09 00:00:00 EDT 2016}

}

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DOI: https://doi.org/10.7799/1432675

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