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Plug and process loads in commercial buildings account for 5% of U.S. primary energy consumption. Minimizing these loads is a primary challenge in the design and operation of an energy-efficient building.

This presentation describes how the designers, owners, and occupants can take advantage of opportunities to reduce plug loads in the Research Support Facility.

This presentation discusses the importance of selecting a project delivery method that balances performance, best value, and cost savings.

This presentation decribes how building an energy-efficient data center can improve a business's bottom line.

The Research Support Facility complex (RSF, RSF II, parking garage, and associated site lighting) was designed to produce more on-site renewable energy than it uses over the course of a typical weather year, when accounted for at the site. To date, the end use performance monitoring and verification suggests that when the RSF complex is fully built out, we will meet the annual energy use goals. Continued performance monitoring and occupant education are required to ensure annual energy use goals will continue to be met.

This presentation Session I from the RSF Workshop discusses the unique energy efficiency features and performance of the Research Support Facility.

This presentation from Session III from the RSF Workshop discusses the cost considerations associated with designing, building, and operating the Research Support Facility.

The presentation from Session IV from the RSF Workshop discusses the impacts of occupant behavior on energy efficiency in the Research Support Facility. It also describes occupants' issues and concerns.

This presentation shows how the Research Support Facility is a showcase for sustainable, high-performance design, how it incorporates the best in energy efficiency, environmental performance, and advanced controls using a “whole building” integrated design process, and serves as a model for cost-competitive, high-performance commercial buildings for the nation’s design construction, operation, and financing communities.

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.