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.
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This Technical Support Document describes the process and methodology for the development of the Advanced Energy Design Guide for Large Hospitals: Achieving 50% Energy Savings Toward a Net Zero Energy Building (AEDG-LH) ASHRAE et al. (2011b). The AEDG-LH is intended to provide recommendations for achieving 50% whole-building energy savings in large hospitals over levels achieved by following Standard 90.1-2004. The AEDG-LH was created for a “standard” mid- to large-size hospital, typically at least 100,000 ft², but the strategies apply to all sizes and classifications of new construction hospital buildings. Its primary focus is new construction, but recommendations may be applicable to facilities undergoing total renovation, and in part to many other hospital renovation, addition, remodeling, and modernization projects (including changes to one or more systems in existing buildings).
This report highlights the funding opportunities available to rural communities and small buildings. Most of these communities qualify for USDA programs and these incentives and grants can be used to make rural communities more efficient.
This Fact Sheet provides an overview of the Better Buildings Workforce Guidelines project. The Department of Energy (DOE) and the National Institute of Building Sciences (NIBS) are working with industry stakeholders to develop voluntary national guidelines that will improve the quality and consistency of commercial building workforce training and certification programs for five key energy-related jobs.
The rooftop unit (RTU) Field Evaluation Checklist is intended to help identify damage, dysfunction, or degradation that requires more than routine maintenance. The checklist should be used to conduct a visual-based field evaluation to further refine the preliminary analysis.
The rooftop unit inventory spreadsheet can be used to gather basic RTU information, such as number, size, age, and general condition. The detailed fields in the spreadsheet can be used to gather additional information, such as controls, usage patterns, and features for additional analysis of the RTUs identified for retrofit, replacement, or further analysis.
The rooftop unit (RTU) decision tree can be used for preliminary screening for replacement of RTU units with more efficient units. This decision tree organizes RTUs into bins for “retrofit,” “replacement,” “no action,” or “needs further analysis.”
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.
A case study of the overview, process, and results of the re-tuning that was conducted in a building in Arlington, Virginia by Vornado Realty Trust in October 2012. Re-tuning provided the facilities management team with the ability to identify and understand building scheduling opportunities that drove significant, low-cost energy savings. Five measures were conducted, many of which pertained to the HVAC system.