Intelligent Building Control Systems

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About this book

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.

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Keywords

• Intelligent Building Systems
• Building Automation and Control
• Model Predictive Control
• Control of Heating, Ventilation, and Air-Conditioning Systems
• HVAC Control
• Intelligent Sensing
• Smart Lightning Systems
• Building Management Systems
• Smart Buildings
• Smart Grid
• Internet of Things
• Ubiquitous sensing

Table of contents (11 chapters)

Front Matter

Introduction and Overview

• John T. Wen, Sandipan Mishra

Building Level Design and Control Architectures

Front Matter

Architectures and Algorithms for Building Automation—An Industry View

• Petr Stluka, Girija Parthasarathy, Steve Gabel, Tariq Samad

Operating Systems for Small/Medium Commercial Buildings

• Marco Pritoni, David M. Auslander

The Heating, Ventilation, Air Conditioning (HVAC) System

Front Matter

HVAC System Modeling and Control: Vapor Compression System Modeling and Control

• Bryan P. Rasmussen, Christopher Price, Justin Koeln, Bryan Keating, Andrew Alleyne

Model Predictive Control of Multi-zone Vapor Compression Systems

• Daniel J. Burns, Claus Danielson, Stefano Di Cairano, Christopher R. Laughman, Scott A. Bortoff

Multi-zone Temperature Modeling and Control

• Justin Koeln, Bryan Keating, Andrew Alleyne, Christopher Price, Bryan P. Rasmussen

Distributed Model Predictive Control for Forced-Air Systems

• Sarah M. Koehler, Frank Chuang, Yudong Ma, Allan Daly, Francesco Borrelli

Human-in-the-Loop Thermal Management for Smart Buildings

• Santosh K. Gupta, Koushik Kar

Beyond HVAC: Lighting, Grid, and Distributed Intelligence

Front Matter

Smart Lighting Control Systems

• M. H. Toufiq Imam, Sina Afshari, Sandipan Mishra

Energy Management Systems for Intelligent Buildings in Smart Grids

• Alessandra Parisio, Marco Molinari, Damiano Varagnolo, Karl H. Johansson

Controlling the Internet of Things – from Energy Saving to Fast Evacuation in Smart Buildings

• Qing-Shan Jia, Yuanming Zhang, Qianchuan Zhao

Back Matter

Editors and Affiliations

Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA

Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, USA

About the editors

John T. Wen has extensive industrial and academic experience in control systems. He received his B.Eng. from McGill University, M.S. from University of Illinois, Ph.D. from Rensselaer Polytechnic Institute, all in Electrical Engineering. He worked at Fisher Controls and Jet Propulsion Laboratory before joining Rensselaer Polytechnic Institute in 1988. He is now a Professor in the Electrical, Computer, and Systems Engineering. He was the Director of the Center for Automation Technologies and Systems (CATS) from 2005-2013, and has been the Head of the Industrial and Systems Engineering since 2013. He was awarded the 2013 IEEE Control Systems Society Transition to Practice Award based on the co-invention of the Adaptive Scanning Optical Microscope (ASOM), which was licensed to Thorlabs. His research interest lies in the modeling and control of dynamical systems with applications to motion control, robot manipulation, opto-mechatronics, thermal management, and active flow control. He isa Fellow of the IEEE.

Sandipan Mishra received his B.Tech. in Mechanical Engineering from the Indian Institute of Technology Madras in 2002 and his Ph.D. in Mechanical Engineering from the University of California at Berkeley in 2008. Dr. Mishra joined Rensselaer Polytechnic Institute as a faculty in the Mechanical, Aerospace, and Nuclear Engineering Department in Fall 2010. He is the recipient of the NSF Early CAREER award in 2013 on additive manufacturing and was a member of the 2010 Japan NXT-NSF Young investigator exchange program for nanomanufacturing. His research interests are in the area of systems and control theory, learning control, nonlinear estimation, and precision mechatronics, as applied to smart building systems, additive manufacturing, and adaptive optics.

Bibliographic Information

• Book Title : Intelligent Building Control Systems
• Book Subtitle : A Survey of Modern Building Control and Sensing Strategies
• Editors : John T. Wen, Sandipan Mishra
• Series Title : Advances in Industrial Control
• DOI : https://doi.org/10.1007/978-3-319-68462-8
• Publisher : Springer Cham
• eBook Packages : Energy , Energy (R0)
• Copyright Information : Springer International Publishing AG 2018
• Hardcover ISBN : 978-3-319-68461-1 Published: 13 December 2017
• Softcover ISBN : 978-3-319-88607-7 Published: 01 September 2018
• eBook ISBN : 978-3-319-68462-8 Published: 04 December 2017
• Series ISSN : 1430-9491
• Series E-ISSN : 2193-1577
• Edition Number : 1
• Number of Pages : XXII, 313
• Number of Illustrations : 34 b/w illustrations, 84 illustrations in colour
• Topics : Energy Efficiency , Control and Systems Theory , Building Physics, HVAC , Information Systems Applications (incl. Internet)