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.
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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.
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.
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.
The JBG Companies (JBG), an investor, owner, developer, and manager of real estate in the Washington, D.C. Metropolitan Area, achieved almost 50% energy savings compared to energy code by using a combination of high efficiency LEDs coupled with lighting controls for the parking structure at the National Cancer Institute (NCI) Shady Grove in Maryland. The NCI
parking structure was recognized by the Lighting Energy Efficiency in Parking (LEEP) Campaign for the Highest Percentage Energy Savings in a Single Parking Structure (New Construction)
and Highest Absolute Annual Energy Savings in a Single Parking Structure (New Construction). In addition to its 2014 LEEP Campaign Award, the buildings have also been recognized in 2011, 2013, and 2014 by both local Maryland organizations and national organizations.
7x7x7: Design Energy Water is an innovative program by the Division of the State Architect that encouraged California school districts to develop long-range master plans that reduce energy and water consumption on campuses and improve the quality of educational spaces. The State Architect engages seven architectural firms to develop seven conceptual case studies that reduce school energy and water consumption and result in better learning environments on seven different types of campuses (six K-12 schools and a community college). The seven campuses are representative of typical building types from different eras constructed across California’s varied climate zones. The purpose and primary goal of this program is to enable all existing K-14 facilities to be zero energy by 2030.
UC Davis established the Smart Lighting Initiative (SLI), an effort to reduce campus-wide lighting electricity consumption at least 60% below 2007 levels. The first phase of this program included a large-scale deployment of over 1,500 network-controlled LED streetlights, area lights, post-tops, and wall packs. The “ultra-smart” lighting installation has reduced annual energy use by an estimated 1,231,758 kWh, saving $120,909 annually in energy and maintenance costs.
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.