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
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.
Citation Formats
TY - DATA
AB - 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.
AU - Sheppy
A2 - Beach
A3 - Pless
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - energy conservation
KW - consumption
KW - utilization
KW - mathematics and computing research
KW - Research Support Facility
KW - RSF
KW - Golden
KW - colorado
KW - control strategy
KW - energy modeling
KW - electricity
KW - resources
KW - buildings
KW - building systems
KW - energy analysis
LA - English
DA - 2016/03/25
PY - 2016
PB - National Renewable Energy Laboratory
T1 - 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
UR - https://data.openei.org/submissions/8146
ER -
Sheppy, et al. 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. National Renewable Energy Laboratory, 25 March, 2016, NREL. https://data.nrel.gov/submissions/40.
Sheppy, Beach, & Pless. (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. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/40
Sheppy, Beach, and Pless. 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. National Renewable Energy Laboratory, March, 25, 2016. Distributed by NREL. https://data.nrel.gov/submissions/40
@misc{OEDI_Dataset_8146,
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 and Beach and Pless},
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.},
url = {https://data.nrel.gov/submissions/40},
year = {2016},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/40},
note = {Accessed: 2025-05-03}
}
Details
Data from Mar 25, 2016
Last updated Dec 18, 2024
Submitted Mar 25, 2016
Organization
National Renewable Energy Laboratory
Contact
Michael Sheppy
Authors
Original Source
https://data.nrel.gov/submissions/40Research Areas
Keywords
energy conservation, consumption, utilization, mathematics and computing research, Research Support Facility, RSF, Golden, colorado, control strategy, energy modeling, electricity, resources, buildings, building systems, energy analysisDOE Project Details
Project Name Maintain full availability of existing science and support infrastructure
Project Number GO28308
