Data center energy efficiency is derived from addressing hardware equipment and infrastructure. Less than half the power used by a typical data centers powers its information technology equipment. The other half goes to support infrastructure, including cooling systems, uninterruptible power supply inefficiencies, power distribution losses, and lighting.
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This publication details the design, implementation strategies, and continuous performance monitoring of NREL's Research Support Facility data center.
This checklist packet is a team-focused guide to realizing energy savings in high-performance office buildings through carefully considered lighting and control design. The checklists should be distributed among the integrated project team, including the owner, lighting designer and engineer, commissioning agent, and facility manager, at the beginning of a project and referred to regularly during design meetings and drawing reviews.
Conventional information technology (IT) equipment and data center spaces can consume more than 100 times the energy of standard office spaces, so the potential for energy savings is huge. You can use this application guide to reduce your equipment energy consumption in any building with a data center, server closets, or other IT equipment (computers, printers, etc.). Some of these strategies are most effective at the beginning of the design process; others can be implemented at any time and be sequenced as part of the normal procurement and replacement schedule.
This guide provides design teams with best practices for parking structure energy efficiency in the form of goals for each design aspect that affects energy use.
This resource functions as a design guide for daylighting devices called light scoops. These devices typically are on the roof surface with skylights pointing south and work particularly well in cloudy climates.
This guide is aimed at building designers, owners and operators, and outlines the core concepts of thermal comfort, providing the basis for designing and operating buildings to meet thermal comfort requirements while reducing energy use.
Few third-party guidance documents or tools are available for evaluating thermal energy storage (TES) integrated with packaged air conditioning (AC), as this type of TES is relatively new compared to TES integrated with chillers or hot water systems. To address this gap, researchers at the National Renewable Energy Laboratory conducted a project to improve the ability of potential technology adopters to evaluate TES technologies. Major project outcomes included: development of an evaluation framework to describe key metrics, methodologies, and issues to consider when assessing the performance of TES systems integrated with packaged AC; application of multiple concepts from the evaluation framework to analyze performance data from four demonstration sites; and production of a new simulation capability that enables modeling of TES integrated with packaged AC in EnergyPlus. This report includes the evaluation framework and analysis results from the project.
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.