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; National Renewable Energy Laboratory
- National Renewable Energy Laboratory
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.
- Research Organization:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- OSTI ID:
- 1887286
- Report Number(s):
- GO28308
- Availability:
- datacatalog@nrel.gov
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
29 ENERGY PLANNING, POLICY, AND ECONOMY
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Golden
NREL
RSF
Research Support Facility
building systems
buildings
colorado
consumption
control strategy
data
electricity
energy
energy analysis
energy conservation
energy modeling
mathematics and computing research
resources
utilization
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Golden
NREL
RSF
Research Support Facility
building systems
buildings
colorado
consumption
control strategy
data
electricity
energy
energy analysis
energy conservation
energy modeling
mathematics and computing research
resources
utilization