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.
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Tower Companies, a DC based owner of large multi-tenant buildings and Better Buildings Challenge partner, engaged in an aggressive program to take measured data from their buildings and turn it into real energy savings. This case study, completed by Tower in partnership with the National Resources Defense Council (NRDC) describes outcomes at three properties. The case study was highlighted on a Better Buildings Webinar on February 5, 2014.
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.
Develop a simple document and Web-based information guidebook to help commercial building software developers, energy managers, and control companies implement strategies for commercial building energy analysis and performance monitoring. This project will use the following book as a model for the design of the handbook: Builder's Guide to Mixed Climates: Details for Design and Construction by Joseph W. Lstiburek. February 2001. Taunton Press. ISBN 156158388X.
The scorecard provides a spreadsheet template for collecting and tracking building data related to energy performance modeling.
This guide provides an overview of the different energy audit options available and information on how to select an energy auditor.
This report provides an overview of the key elements of submetering and associated energy management systems to foster an understanding of the many potential benefits and complexities associated with use of these systems. While submeters by themselves have no direct impact on resource use, the data they capture informs real-time energy and water performance, can pinpoint performance variations over time or relative to other buildings, feeds into building automation systems that drive continuous operational improvements, and provides the information needed to encourage behavioral and operational changes by building operators and occupants.