This presentation highlights the importance of modeling the off-design performance of equipment in data centers as a consequence of their dynamic behavior and describes an experimentally validated tool for modeling the energy use of the data center and cooling infrastructure.
Advanced SearchYour search resulted in 68 resources
An energy-efficient data center includes targets for its power usage effectiveness (<1.2) and energy resource efficiency (< 0.9). It should be designed with hot isle–cold isle separation, use free cooling (economizer) and evaporative cooling when available, minimize fan energy, and use the most energy-efficient equipment possible.
As efficiency gains are made in building lighting and HVAC systems, plug loads become a greater percentage of building energy use and must be addressed to meet energy goals. HVAC and lighting systems are targeted because they are typically the highest energy end uses, but plug load reduction and control should be considered as part of a comprehensive approach to energy reduction.
As part of its overall strategy to meet its energy goals, the Naval Facilities Engineering Command (NAVFAC) partnered with the Department of Energy’s National Renewable Energy Laboratory (NREL) to rapidly demonstrate and deploy cost-effective renewable energy and energy efficiency technologies. This project was one of several demonstrations of new or underutilized commercial energy technologies. The common goal was to demonstrate and measure the performance and economic benefit of the system while monitoring any ancillary impacts to related standards of service and operation and maintenance (O&M) practices. In short, demonstrations at naval facilities simultaneously evaluate the benefits and compatibility of the technology with the U.S. Department of Defense (DOD) mission, and with NAVFAC’s design, construction, operations, and maintenance practices, in particular.
This article, published in High Performance Buildings Magazine, presents the process used for delivering NREL's Research Support Facility (RSF) as a replicable blueprint to achieve a large reduction in building energy use and to adopt a net zero energy approach for large-scale commercial buildings (ZEB) without increasing cost.
Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insights into device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.
This decision tree provides information on saving money by implementing advanced power strips and provides specific information on cost, features, drawbacks, and what to look for when purchasing an advanced power strip.
Owner Commitment: Project Manager Perspective presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012
Design Team Commitment: An Architect's Perspective presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012
Integrated Design presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012