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 56 resources
Re-tuning focuses on a number of commonly occurring operational problems in buildings. These guides, through examples, provide details on how to detect good (normal) and bad (abnormal) operations. The purpose of the central utility plant (CUP) heating control guide is to show, through
examples of good and bad operations, how CUP heating can be efficiently controlled. This guide will focus on hot water boilers and their operations
The BEDES Strategic Working Group Recommendations document is a guide to how the BEDES Dictionary can be brought to market and provide the services for which it was designed.
The U.S. Department of Energy created the Building Energy Data Exchange Specification (BEDES) to facilitate the exchange of information on building characteristics and energy use in an inexpensive and unambiguous manner.
The BEDES Dictionary 1.0 was developed by DOE to support the analysis of the performance of buildings by providing a common set of terms and definitions for building
characteristics, efficiency measures, and energy use.
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.
There are over 200 energy efficiency loan programs—across 49 U.S. states—administered by utilities, state/local government agencies, or private lenders. This distributed model has led to significant variation in program design and implementation practices including how data is collected and used.
The objective of this report is to take a foundational step towards the establishment of common data collection practices for energy efficiency lending. We review existing practices for data collection for energy efficiency financing programs and, based on discussions with various stakeholders, identify high-priority needs, characterize potential uses for finance program data, and identify use cases that describe how stakeholders use data for key objectives and actions. We address the following topics:
• Rationales for collecting more consistent data from energy efficiency finance programs;
• Identification and discussion of energy efficiency finance program use cases;
• Challenges with collecting information from customers that participate in finance programs; and
• Issues with data collection and aggregation across multiple finance programs.
This project focuses on testing and demonstrating both the hardware and Cloud versions of theSMDS under field conditions. The objectives for testing and demonstrating the hardware are to 1) characterize the performance of the SMDS technology, 2) estimate the savings-to-cost ratio for demonstration units, and 3) characterize the usability of the SMDS including ease of installation and use. The SMDS provides information to the user, but to realize savings, actions must be taken by the user. The hardware demonstrations seek to discover how effective information is in influencing actions, including which faults generate the most servicing actions by the user.
These field demonstrations are of prototype SMDS units, which have not yet completed the product development process. These early demonstration projects are critical to understanding SMDS performance in the field and to gaining a better understanding of the potential performance or user interface enhancements needed in the next generation SMDS units. Conclusions related to the larger commercial building market, such as the incidence of performance degradation and specific faults and the energy savings resulting from addressing them are beyond the scope of this study and not compatible with the current stage of SMDS development.
The demonstration was performed separately for the hardware and Cloud versions of the SMDS. Both demonstrations involved selecting buildings, installing the required hardware (although it requires less hardware, the Cloud version requires sensors and cell modems), collecting and processing data, and viewing and tabulating results. Details of the procedures are presented later in this report.
Comprehensive commissioning can greatly improve the quality and energy efficiency of commercial refrigeration systems. This guide provides direction to owners and managers of commercial and industrial facilities that use refrigeration systems to help ensure that project requirements are met and that owners' expectations are achieved. This includes retail grocery, food service, refrigerated warehousing, and industrial refrigeration systems. The guide was produced as an ASHRAE special publication with funding from DOE/NREL.
NorthBay VacaValley Hospital completed lighting retrofits to their 150,000 square foot parking lot and its 225 parking spaces. They did so with help from The California Lighting Technology Center (CLTC) at the University of California, Davis. The project has achieved 65% savings and received a 2014 Lighting Energy Efficiency in Parking (LEEP) Campaign’s award for best use of lighting controls. In addition, the retrofits improved lighting maintenance operations and end-user satisfaction.
The lighting retrofit included replacing roughly 50 induction luminaires with new LED fixtures with embedded lighting controls.
The new LED fixtures were coupled with various kinds of lighting control systems, including a radio frequency (RF) connectivity control system that was installed in dedicated zones with passive- infrared (PIR) and long-range microwave sensors to achieve energy savings. An “ultra-smart” lighting control network was also put in place, giving facility managers the ability to adjust lighting schedules, light levels and time-out settings, monitor the system’s energy use, and receive automated alerts when luminaires require maintenance.
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.