This publication details the design, implementation strategies, and continuous performance monitoring of NREL's Research Support Facility data center.
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OpenStudio development efforts have been focused on providing Application Programming Interfaces (APIs) where users are able to extend OpenStudio without the need to compile the open source libraries. This paper will discuss the basic purposes and functionalities of the core libraries that have been wrapped with APIs including the Building Model, Results Processing, Advanced Analysis, Uncertainty Quantification, and Data Interoperability through Translators. Several building energy modeling applications have been produced using OpenStudio's API and Software Development Kits (SDK) including the United States Department of Energy's Asset ScoreCalculator, a mobile-based audit tool, an energy design assistance reporting protocol, and a portfolio scale incentive optimization analysis methodology. Each of these software applications will be discussed briefly and will describe how the APIs were leveraged for various uses including high-level modeling, data transformations from detailed building audits, error checking/quality assurance of models, and use of high-performance computing for mass simulations.
This paper will discuss the Building Agent™ platform, which has been developed and deployed in a campus setting at the National Renewable Energy Laboratory. The Building Agent™ provides aggregated and coherent access to building data, including electric energy, thermal energy, temperatures, humidity, and lighting levels, and occupant feedback, which are displayed in various manners for visitors, building occupants, facility managers, and researchers. This paper focuses on the development of visualizations for facility managers, or an energy performance assurance role, where metered data are used to generate models that provide live predicted ranges of building performance by end use.
Multi-load washers used in the healthcare and hospitality industry are among the most energy intensive pieces of equipment used in these facilities. Multiple technologies are available on the market for significantly reducing energy and water consumption of multi-load washers. However, adoption of these advanced technologies has thus far been limited because of uncertainty about return on investment and concerns about reliability, performance, and user satisfaction, including hotel guest/healthcare patient satisfaction. Quantifying the energy and water savings potential of current market-ready systems will help promote the adoption of these technologies in the commercial sector.
The objective of this demonstration project was to evaluate market-ready retrofit technologies for reducing the energy and water use of multi-load washers in healthcare and hospitality facilities. Specifically, this project evaluated laundry wastewater recycling technology in the hospitality sector the hospitality sectors. This report documents the demonstration of a wastewater recycling system installed in the Grand Hyatt Seattle.
The objective of this demonstration project was to evaluate market-ready retrofit technologies for reducing the energy and water use of multi-load washers in healthcare and hospitality facilities. Specifically, this project evaluated ozone laundry technology in both the healthcare and hospitality sectors. This report documents the demonstration of ozone laundry system installations at the Charleston Place Hotel in Charleston, Sout Carolina, and the Rogerson House assisted living facility in Boston, Massachusetts.
The U.S. General Services Administration (GSA) owns and leases over 354 million square feet (ft2) of space in over 9,600 buildings. GSA is a leader among federal agencies in aggressively pursuing energy efficiency (EE) opportunities for its facilities and installing renewable energy (RE) systems to provide heating, cooling, and power to these facilities. According to several energy assessments of GSA's buildings conducted by the National Renewable Energy Laboratory (NREL), plug-loads account for approximately 21% of the total electricity consumed within a standard GSA Region 3 office building. This study aims to provide insight on how to effectively manage plug-load energy consumption and attain higher energy and cost savings for plug-loads. As GSA improves the efficiency of its building stock, plug-loads will become an even greater portion of its energy footprint.