Chilled Water Systems and AI-Powered HVAC Integration

Modern commercial buildings require highly efficient cooling solutions, yet traditional chilled water systems often run suboptimally. This text-based course guides you through the fundamental principles of chiller plant design, fluid dynamics, and cutting-edge artificial intelligence integrations that drive energy efficiency. By reading this course, you will transition from understanding basic HVAC components to designing and managing intelligent chilled water systems that leverage data-driven automation. What you'll learn: • Understand foundational chiller cycle physics, pump configurations, and piping layouts. • Calculate cooling loads, pipe sizing, and flow rates for commercial buildings. • Configure Building Management System (BMS) controls and sequence of operations. • Integrate artificial intelligence and machine learning models for predictive maintenance and load forecasting. • Optimize energy efficiency using smart sensor data and real-time operational analytics. • Troubleshoot common hydraulic and thermal performance issues using systematic methodologies. The course begins with essential thermodynamic and hydraulic principles before progressing to system components, control loops, and modern AI optimization techniques. You will work through practical written scenarios and calculation exercises designed to reinforce your engineering and analytical skills. This course is designed for beginning HVAC engineers, facility managers, building operators, and energy analysts looking to bridge the gap between traditional mechanical systems and modern smart building technologies. No prior AI experience is required. Start reading today to build smarter, more efficient cooling systems for the future.