This session begins with an overview of smart building technology fundamentals discussed in the previous videos, then discusses how to find smart building technology provider information. For the majority of this session, three smart building application examples are presented: Nantum from Nantum AI, InSite from InSite, and Kaizen from Coppertree Analytics. Nantum uses machine learning and hierarchical model optimization to create and select the best model and model predictive control (MPC) for ASO, peak load management, ADM, ADR, and DER management. InSite uses a rules engine for AFDD and optimizing building operations. The Kaizen platform unified Energy Management and Information System (EMIS) functions FDD, EIS, ASO, and ACx under a single platform. Towards the end of session, smart building project process, stakeholder roles, and implementation challenges and future trends are discussed.
Instructors
Xiaohui "Joe" Zhou, PhD, PE, CEM, Director of Research and Innovation, Slipstream Read Bio
Xiaohui "Joe" Zhou is a Director of Research and Innovation at Slipstream, headquartered in Madison, WI. Joe has 30+ years of experience in commercial building controls and his current areas of research focus on emerging technology field testing and verification. Before joining Slipstream, he worked for several organizations, including Iowa Energy Center and Johnson Controls. He served as principal investigator for multi-million-dollar R&D projects sponsored by U.S. DOE, DOD, DOC, ASHRAE, and utilities. Joe has been an active member of ASHRAE since 2002 and is an AEE-certified energy manager. Currently, he serves as the Research Chair of ASHRAE Technical Committee TC 7.5 Smart Building Systems and is also the Chair of the ASHRAE Standing Guideline Project Committee (SGPC) 36, High-Performance Sequences of Operation for HVAC Systems. He earned a bachelor's degree in electrical engineering from Zhejiang University (China), a master's degree in electrical engineering from the University of Connecticut, and a Ph.D. in mechanical engineering from Iowa State University.
Learning Objectives
Upon completion of this course, attendees will be able to:
- Review smart building technology fundamentals;
- Present several smart building application examples;
- Discuss smart building project process and stakeholder roles;
- Discuss smart building application challenges.
