Related Work
Energy management and information systems (EMIS) are a broad family of software tools for smart commercial building analytics and advanced control that include fault detection and diagnostics offerings. Critical to sector-wide decarbonization, they help to address the 29% of wasted energy and emissions that are attributable to poorly operating and faulted controls, and can also provide a software-based runway to scale integration of buildings with a clean grid.
Jessica Granderson and her team lead Berkeley Lab’s research in EMIS and FDD, on behalf of the U.S. Department of Energy’s Building Technology Office, and other sponsors. They seek to accelerate the adoption of FDD and other types of EMIS within the commercial building stock, advance knowledge of best practice technology uses, and develop new technology capabilities.
Please see the team’s related work in the following areas:
- New technology and process development
- Technology demonstration and deployment
- Best practice guidelines and resources
- State of technology and cost benefit resources
A few highlights include:
- Self-correcting building controls: A collaboration between Berkeley Lab and commercial FDD providers to Integrate automated fault correction and controls optimization capability into their products.
- Smart Energy Analytics Campaign: A public-private partnership that established the first large-scale documentation of costs and benefits of FDD and complementary analytics over an installed base of 500M+ square feet, 100+ organizations, and 40 diverse technologies.
- IEA Annex 81 Data-driven smart buildings: An international project investigating the potential of data-driven building automation, in order to reduce energy use in buildings and enable buildings to participate as distributed energy resources. Subtasks include the development and dissemination of data sets, as well as automated FDD and recommissioning applications.
- Evaluation of fault prevalence in commercial buildings: The efficiency community’s most comprehensive study ever on the empirical prevalence of heating, ventilation, and air conditioning (HVAC) faults in commercial buildings in the United States. This empirical field study will be undertaken over a three-year period of performance.