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
