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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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.
With 7 hospitals and 22 physician locations serving more than 9 Wisconsin counties, ThedaCare has ample room to implement and reap the benefits of building efficiency measures. At the Appleton Medical Center, ThedaCare’s Lighting Energy Efficiency in Parking (LEEP) Campaign Award winning project involved replacing inefficient medium-wattage HID lighting fixtures at a 126,000 square foot parking structure with high efficiency low-wattage LED fixtures. The resulting energy savings exceed 80 percent of the previous usage. A 100-year old company and the third largest health care employer in Wisconsin, ThedaCare has now implemented LED exterior lighting throughout Appleton Medical Center.
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.
Over the course of 5 years, NREL worked with commercial building owners and their design teams in the DOE Commercial Building Partnerships (CBP) to cut energy consumption by 50% in new construction (versus code) and by 30% in existing building pilot projects (versus code or pre-retrofit operational energy use depending on the preference of the Partner) using strategies that could be replicated across their building portfolios. A number of different building types were addressed, including supermarket, retail merchandise, combination big box (general merchandise and food sales), high rise office space, and warehouse. The projects began in pre-design and included a year of measurement data to evaluate performance against design expectations. Focused attention was required throughout the entire process to achieve a design with the potential to hit the energy performance target and to operate the resulting building to reach this potential. This paper will report quantitative results and cover both the technical and the human sides of CBP, including the elements that were required to succeed and where stumbling blocks were encountered. It will also address the impact of energy performance goals and intensive energy modeling on the design process innovations and best practices.