@inproceedings{35463,
  keywords = {Energy efficiency, Controls, Field test, Smart buildings, EMIS, Fault Detection & Diagnostics},
  author = {Anand Prakash and Marco Pritoni and Margarita Kloss and Mary Ann Piette and Michel Kamel and Dotty Hage},
  title = {Cloud-Control of Legacy Building Automation System: A case study},
  abstract = {<p>As Internet of Things devices and cloud-based platforms become more mature, Energy<br />Management and Information Systems (EMIS) are increasingly gaining momentum in the<br />building industry. In large commercial buildings, Fault-Detection and Diagnostic (FDD) and<br />energy information systems (EIS) are now established technologies with tens of providers and<br />thousands of deployment sites across North America. The new frontier for the EMIS technology<br />is now represented by control systems that use advanced system optimization (ASO) methods to<br />improve the operations of the HVAC system. Given the complexity of the integration of such<br />systems with the existing building automation systems (BAS) and the higher risk involved with<br />direct control of the HVAC, these systems are still emerging in the market.<br />This paper presents the results of a project in which a start-up company partnered with a<br />research institution to develop a cloud-based software EMIS solution and deployed it in a<br />university campus in California. The software system included advanced sensing, data<br />acquisition, storage and advanced control and analytics applications developed on top of the<br />native BAS. The new platform controls ten buildings on the campus and the FDD and the ASO<br />applications deployed on this platform were able to generate energy savings of up to 35% and<br />25% in certain buildings for each functionality respectively. Where the platform did not save<br />energy, it improved building service (air quality). Lessons learned include the importance of<br />collaborating with and training the building operators and evaluating whether the legacy system<br />can work reliably with the new technology.</p>},
  year = {2022},
  journal = {2022 Summer Study on Energy Efficiency in Buildings},
  month = {08/2022},
  publisher = {ACEEE},
  address = {Pacific Grove, CA},
  url = {https://escholarship.org/uc/item/5jq3z0kt},
  doi = {https://doi.org/10.20357/B7BS4H},
  language = {eng},
}