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.
Advanced SearchYour search resulted in 4 resources
The Standard Energy Efficiency Data (SEED) Platform was developed to help state and local governments address the challenge of implement building performance reporting regulations for private and/or public buildings. SEED provides a flexible, free, secure, and private data platform for managing large datasets. The SEED source code is open source and extensible so that other parties can access the data, and offer add-on tools and services in a replicable way. This paper details the varying processes that had started to emerge in New York City, Seattle, Washington DC, San Francisco, and Austin, and then summarize the features of SEED that were developed to address key challenges. SEED has the potential to significantly decrease the administrative effort required to implement performance-tracking programs and increase the quality of analysis. By aligning data formats and data management processes across jurisdictions, SEED can also help to ease reporting burdens for owners and contractors, facilitate parallel analysis and comparisons between jurisdictions, and increase the availability of products and services that utilize this data. This paper also explores SEED’s potential at scale in the market and the ongoing role for interested users and software developers to contribute resources and provide input on ongoing development.
An increasing number of state and local jurisdictions are implementing building performance reporting laws, which generate large quantities of useful data on the characteristics and resource consumption of the building stock. However, to realize the potential of these policies, the data must not only be disclosed, but put to work to drive energy savings. Under a three-year pilot, Washington DC (DC), New York City (NYC) and their partners are pioneering the use of data from building performance reporting in energy efficiency programs. To minimize the administrative burden of managing, combining, and sharing these data sets, the cities are utilizing the U.S. Department of Energy’s (DOE) open-source Standard Energy Efficiency Data (SEED) Platform.
The Putting Data to Work project team is working with efficiency program administrators to develop and implement new and innovative ways in which the data collected through benchmarking, energy audits, and related policies can be used to improve energy policies and planning, unlock data directly for market use, scale-up the market for energy efficiency services, drive competition, better target utility incentive programs, and inform measurement and verification.
This paper details achievements and key findings in DC and NYC to date, including the importance of high compliance, data quality, and data cleansing in using the information collected; methods that the cities are using to apply data to drive maximum energy efficiency; and the importance of inter- and intra-agency collaboration in program success. The paper also outlines the path forward and details expected outcomes and scalability of project activities.
This article appears in the July 2016 issue of the ASHRAE Journal (pgs. 38-45). Brief summary:
The U.S. Department of Energy's Building Performance Database (BPD) is the largest publicly available data source for energy-related characteristics of commercial and residential buildings in the United States, collected from federal, state, and local governments, utilities, and private companies. The BPD provides anonymized building energy use and asset data with analytical capabilities to help energy service providers, real estate owners and managers, policy makers, and energy consultants make decisions about energy efficiency and retrofit projects.
This article examines some of the promises and perils of having large amounts of building data at the user's fingertips and how to use such data and statistical analysis tools effectively to support decision-making by energy professionals.