InterContinental Hotels Group (IHG) and its franchise partner B.F. Saul Company Hospitality Group (B.F. Saul Co.) partnered with the Department of Energy (DOE) to develop and implement solutions to retrofit existing buildings to reduce energy consumption by at least 30% versus requirements set by Standard 90.1-2004 of the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE), the American National Standards Institute (ANSI), and the Illuminating Engineering Society of North America (IESNA) as part of DOE’s Commercial Building Partnerships (CBP) Program.
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The Commercial Building Partnership (CBP) paired selected commercial building owners and operators with representatives of DOE, national laboratories, and private sector exports to explore energy efficiency measures across general merchandise commercial buildings.
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 lack of empirical data on the energy performance of buildings is a key barrier to accelerating the energy efficiency retrofit market. The DOE’s Buildings Performance Database (BPD) helps address this gap by allowing users to perform exploratory analyses on an anonymous dataset of hundreds of thousands of commercial and residential buildings. These analyses enable market actors to assess energy efficiency opportunities, forecast project performance, and quantify performance risk using empirical building data. In this paper, we describe the process of collecting and preparing data for the database, and present a peer-group analysis tool that allows users to analyze building performance for narrowly defined subsets of the database, or peer groups. We use this tool to explore a case study of a multifamily portfolio owner comparing his buildings’ performance to the peer group of multifamily buildings in the local metro area. We also present a performance comparison tool that uses statistical methods to estimate the expected change in energy performance due to changes in building-component technologies. We demonstrate a low-effort retrofit analysis, providing a probabilistic estimate of energy savings for a sample building retrofit. The key advantages of this approach compared to conventional engineering models are that it provides probabilistic risk analysis based on actual
measured data and can significantly reduce transaction costs for predicting savings across a portfolio.
While the availability of “big data” about building energy performance is increasing in response to market demands and public policies, the lack of standard data formats is a significant ongoing barrier to its full utilization. To overcome this barrier, the U.S. Department of Energy (DOE) and Lawrence Berkeley National Laboratory (LBNL) developed the Building Energy Data Exchange Specification (BEDES).
BEDES is designed to enable the exchange, comparison, and combination of empirical information by providing common terms and definitions for data about commercial and residential building’s physical and operational characteristics, energy use, and efficiency measures.
This paper describes the BEDES development process, scope, structure, and plans for implementation and ongoing updates.
Software environment that supports the integration of multiple building models and databases used by analysis and visualization tools, through a single, object-based representation of building components and systems. BDA (Building Design Advisor) acts as a data manager and process controller, allowing building designers to benefit from the capabilities of multiple analysis and visualization tools throughout the building design process. BDA is implemented as a Windows-based application. The current version includes links to a simplified Daylighting Computation Module (DCM), a simplified Electric lighting Computation Module (ECM), and the DOE-2.1E Building Energy Simulation software.
Berkeley Lab WINDOW is a publicly available computer program for calculating total window thermal performance indices (i.e. U-values, solar heat gain coefficients, shading coefficients, and visible transmittances). Berkeley Lab WINDOW provides a versatile heat transfer analysis method consistent with the updated rating procedure developed by the National Fenestration Rating Council (NFRC) that is consistent with the ISO 15099 standard. The program can be used to design and develop new products, to assist educators in teaching heat transfer through windows, and to help public officials in developing building energy codes.
EnergyPlus Example File Generator's web-based forms allow users to enter general information about buildings they want to model. The application then automatically creates a complete EnergyPlus input file, runs an annual simulation, and then emails users the EnergyPlus input, output, DXF and other files along with an annual summary of the energy results.
Following the tornado in 2007, Greensburg made a commitment to rebuilding green. The case studies in this database offer examples of projects that have been rebuilt, and include stories about public, private single-family residential, multi-family residential, and commercial buildings.
Facility Energy Decision System (FEDS) is an easy-to-use building energy efficiency software tool that quickly and objectively identifies energy efficiency improvements that maximize life-cycle savings. The Windows-based program requires only minimal user experience and input to perform energy efficiency assessment screenings as well as detailed energy retrofit project analyses across a wide variety of building types, from single buildings to large multi-building campuses and installations.