Readers of this book will be shown how, with the adoption of ubiquituous sensing, extensive data-gathering and forecasting, and building-embedded advanced actuation, intelligent building systems with the ability to respond to occupant preferences in a safe and energy-efficient manner are becoming a reality. The articles collected present a holistic perspective on the state of the art and current research directions in building automation, advanced sensing and control, including:model-based and model-free control design for temperature control;smart lighting systems;smart sensors and actuators (such as smart thermostats, lighting fixtures and HVAC equipment with embedded intelligence); andenergy management, including consideration of grid connectivity and distributed intelligence. These articles are both educational for practitioners and graduate students interested in design and implementation, and foundational for researchers interested in understanding the state of the art and the challenges that must be overcome in realizing the potential benefits of smart building systems. This edited volume also includes case studies from implementation of these algorithms/sensing strategies in to-scale building systems. These demonstrate the benefits and pitfalls of using smart sensing and control for enhanced occupant comfort and energy efficiency.

Readers of this book will be shown how, with the adoption of ubiquituous sensing, extensive data-gathering and forecasting, and building-embedded advanced actuation, intelligent building systems with the ability to respond to occupant preferences in a safe and energy-efficient manner are becoming a reality. The articles collected present a holistic perspective on the state of the art and current research directions in building automation, advanced sensing and control, including:

• model-based and model-free control design for temperature control;
• smart lighting systems;
• smart sensors and actuators (such as smart thermostats, lighting fixtures and HVAC equipment with embedded intelligence); and
• energy management, including consideration of grid connectivity and distributed intelligence.
  

These articles are both educational for practitioners and graduate students interested in design and implementation, and foundational for researchers interested in understanding the state of the art and the challenges that must be overcome in realizing the potential benefits of smart building systems. This edited volume also includes case studies from implementation of these algorithms/sensing strategies in to-scale building systems. These demonstrate the benefits and pitfalls of using smart sensing and control for enhanced occupant comfort and energy efficiency.

Introduction and Overview.- Part I: Building-Level Design and Control.- Architectures and Algorithms for Building Control and Optimization: An Industry View.- Operating Systems for Small/Medium Commercial Buildings.- Part II: Heating, Ventilation, and Air-Conditioning (HVAC) Systems.- HVAC System Modeling and Control: Vapor Compression System Modeling and Control.- HVAC System Modeling and Control: Multi-Zone Temperature Modeling and Control.- Model Predictive Control for Forced Air and Radiant Slab Systems.- Constrained Model Predictive Control of HVAC Equipment.- Part III: Beyond HVAC: Lighting, Grid, and Distributed Intelligence.- Smart Lighting Control.- Stochastic Predictive Control Strategies for Building Energy Management Systems in a Smart Grid Scenario.- Controlling the Internet of Things: From Energy Saving to Fast Evacuation in Smart Buildings. Current and Future Directions.