2009 · 93 citations · 6 references
ArchitectureArchitectural EngineeringBuilding ScienceBuilding Performance SimulationEnergy ManagementEnergy PolicyBuilding AutomationBuilding Energy ModelingBuilding Energy PerformanceBuilding Energy SystemsEnergy ConservationEnergy UseBaseline Energy ModelingBuilding Energy Consumption AnalysisBuilding Energy DemandEnergy ConsumptionEnergy Performance EvaluationEnergy Use AnalysisPower ConsumptionPower Consumption Modeling
UC San Diego provides a controlled environment to study building energy consumption at a small‑town scale of over 45,000 residents. The study targets mixed‑use buildings where IT equipment accounts for more than a quarter of total energy use. Data were collected from four archetypal buildings ranging from residence halls to data centers, focusing on mixed‑use sites. Observations show that computing dominates baseline energy use and that duty‑cycling buildings could substantially reduce consumption.
Presenting a fairly controlled environment for instrumentation and implementation of energy use policies, the University of California at San Diego provides an excellent testbed to characterize and understand energy consumption of buildings at the scale of a small town with over 45,000 residents. We present data collected from four selected buildings that are archetypes of diverse buildings from residence halls to data centers. In particular, we focus on 'mixed-use' buildings where the energy consumption of IT equipment accounts for more than a quarter of the total energy use. Our detailed observations identify the primary components of the baseline energy use and the sources of peaks in energy consumption. Surprisingly, computing accounts for a large fraction of the baseline energy use, thus giving insights in how to significantly reduce power consumption by creating effectively duty-cycled buildings.
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