AI-Powered Planning and Control of Chiller Systems

报告主题：AI-Powered Planning and Control of Chiller Systems

主讲人：王钧教授（欧洲科公司外籍院士、IEEE 终身会士）

时间：2026年3月13日（星期五）10:00

地点：yl6809永利集团正阳3号楼3号会议室

主办单位：yl6809永利集团

摘要：

        Heating, ventilation, and air conditioning (HVAC) systems consume about 40% of the energy in commercial and residential buildings. As a crucial part of heat removal from a thermal space to the outside, a chiller system accounts for more than half of the energy consumption in an HVAC system. In this talk, I will first describe the problem formulations for chiller loading with cardinality constraints as well as physical constraints. I will then present several collaborative neurodynamic systems to solve the formulated constrained optimization problems for chiller loading in centralized and distributed settings. In addition, I will propose neurodynamics-driven approaches to receding-horizon distributed chiller loading and the hybrid model predictive control of distributed chiller systems.