Supervisory and Optimal Control of Building HVAC Systems: A Review

HVAC systems are the major energy consumers in buildings. Operation and control of HVAC systems have significant impacts on the energy or cost efficiency of buildings besides their designs. Buildings nowadays are mostly equipped with comprehensive building automation systems (BASs) and building energy management control systems (EMCSs) that allow the possibility of enhancing and optimizing the operation and control of HVAC systems. Supervisory and optimal control, which addresses the energy or cost-efficient control of HVAC systems while providing the desired indoor comfort and healthy environment under the dynamic working conditions, is attracting more attention of the building professionals and the society and provides incentives to make more efforts in developing more extensive and robust control methods for HVAC systems. This paper provides a framework for categorizing the main supervisory and optimal control methods and optimization techniques developed and/or utilized in the HVAC field. The application characteristics of each control method and optimization technique are also identified and compared. A comprehensive overall review of the state of the art of the research and development, as well as application of supervisory and optimal control, in HVAC systems is also presented.

[1]  Peter B. Luh,et al.  An Optimization-Based Approach for Facility Energy Management with Uncertainties , 2005 .

[2]  W. Ramirez Process Control and Identification , 1993 .

[3]  Sanford Klein,et al.  Applications of optimal control to chilled water systems without storage , 1989 .

[4]  Lihua Xie,et al.  Global optimization for overall HVAC systems––Part I problem formulation and analysis , 2005 .

[5]  James E. Braun A Near-Optimal Control Strategy for Cool Storage Systems with Dynamic Electric Rates (RP-1252) , 2007 .

[6]  Darrell D. Massie,et al.  Optimization of a building's cooling plant for operating cost and energy use , 2002 .

[7]  Yasuo Katoh,et al.  Thermal Responses in Control Loop in Indirect Control of Indoor Environment of Non-Air Conditioned Space with Quasi-Steady-State Model , 2003 .

[8]  Simeng Liu,et al.  Experimental Analysis of Model-Based Predictive Optimal Control for Active and Passive Building Thermal Storage Inventory , 2005 .

[9]  Lihua Xie,et al.  Global optimization for overall HVAC systems––Part II problem solution and simulations , 2005 .

[10]  Yung-Chung Chang,et al.  Simulated annealing based optimal chiller loading for saving energy , 2006 .

[11]  Refrigerating ASHRAE handbook and product directory /published by the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc , 1977 .

[12]  V. I. Hanby,et al.  Application of univariate search methods to the determination of HVAC plant capacity , 2000 .

[13]  J. Braun,et al.  Performance and control characteristics of a large cooling system , 1987 .

[14]  Keck Voon Ling,et al.  Expert control of air-conditioning plant , 1994, Autom..

[15]  David G. Hull,et al.  Optimal Control Theory for Applications , 2003 .

[16]  Dennis Johansson,et al.  Optimal supply air temperature with respect to energy use in a variable air volume system , 2004 .

[17]  Michael F. Hordeski,et al.  HVAC Control in the New Millennium , 2001 .

[18]  Judith S. Liebman,et al.  OPTIMIZATION OF A CHILLED WATER PLANT USING SEQUENTIAL QUADRATIC PROGRAMMING , 1990 .

[19]  Lihua Xie,et al.  HVAC system optimization––condenser water loop , 2004 .

[20]  David G. Luenberger,et al.  Linear and nonlinear programming , 1984 .

[21]  Barrett A. Flake Parameter Estimation and Optimal Supervisory Control of Chilled Water Plants , 1998 .

[22]  Sanford Klein,et al.  Optimal Supervisory Control of an Absorption Chiller System , 1995 .

[23]  Z. Cumali,et al.  Global optimization of HVAC system operations in real time , 1988 .

[24]  G. Zheng,et al.  Optimization of thermal processes in a variable air volume HVAC system , 1996 .

[25]  K. F. Fong,et al.  HVAC system optimization for energy management by evolutionary programming , 2006 .

[26]  Sanford Klein,et al.  Methodologies for optimal control of chilled water systems without storage , 1989 .

[27]  Shengwei Wang,et al.  Model-based optimal control of VAV air-conditioning system using genetic algorithm , 2000 .

[28]  John I. Levenhagen,et al.  HVAC Controls and Systems , 1993 .

[29]  W. A. Beckman,et al.  Development of computerized control strategies for a large chilled water plant , 1985 .

[30]  Simeng Liu,et al.  Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory: Part 1. Theoretical foundation , 2006 .

[31]  Jasbir S. Arora,et al.  Optimal control of HVAC systems using DDP and NLP techniques , 1996 .

[32]  Robert Sabourin,et al.  Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm , 2005 .

[33]  James E. Braun Near-Optimal Control Strategies for Hybrid Cooling Plants , 2007 .

[34]  Shengwei Wang,et al.  Online adaptive control for optimizing variable-speed pumps of indirect water-cooled chilling systems , 2001 .

[35]  Shengwei Wang,et al.  Dynamic simulation of a building central chilling system and evaluation of EMCS on-line control strategies , 1998 .

[36]  M. Zaheer-uddin,et al.  Optimal control of time-scheduled heating, ventilating and air conditioning processes in buildings , 2000 .

[37]  A. Guez,et al.  Neural network architecture for control , 1988, IEEE Control Systems Magazine.

[38]  Moncef Krarti,et al.  Development of a Predictive Optimal Controller for Thermal Energy Storage Systems , 1997 .

[39]  Taylor Francis Online HVAC & R research , 1995 .

[40]  Philip Haves,et al.  Comparison of chiller models for use in model-based fault detection , 2001 .

[41]  Chee Peng Lim,et al.  Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles , 2002, Neural Computing & Applications.

[42]  James E. Braun,et al.  Reducing energy costs and peak electrical demand through optimal control of building thermal storage , 1990 .

[43]  A. Kaya,et al.  Optimum control policies to minimize energy use in HVAC systems , 1982 .

[44]  D. Goswami VAV fan static pressure control with DDC , 1986 .

[45]  Singiresu S. Rao,et al.  Optimization Theory and Applications , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[46]  Zhang Lin,et al.  Global optimization of absorption chiller system by genetic algorithm and neural network , 2002 .

[47]  James E. Braun A General Control Algorithm for Cooling Towers in Cooling Plants with Electric and/or Gas-Driven Chillers , 2007 .

[48]  G. A. Johnson,et al.  Optimization techniques for a centrifugal chiller plant using a programmable controller , 1985 .

[49]  James E. Braun,et al.  An Inverse Gray-Box Model for Transient Building Load Prediction , 2002 .

[50]  J. Braun Methodologies for the Design and Control of Central Cooling Plants , 1988 .

[51]  S. Y. Yun,et al.  APPLICATION OF A RECURRENT NEURAL NETWORK TO TRAFFIC VOLUME FORECASTING , 1996 .

[52]  Sheng Liu,et al.  A distributed-parameter-model approach to optimal comfort control in air conditioning systems , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[53]  Lihua Xie,et al.  HVAC system optimization—in-building section , 2005 .

[54]  Jian Sun,et al.  Optimal control of building HVAC&R systems using complete simulation-based sequential quadratic programming (CSB-SQP) , 2005 .

[55]  Robert Babuska,et al.  Fuzzy predictive control applied to an air-conditioning system , 1997 .

[56]  J. E. Braun,et al.  Near-optimal control of cooling towers for chilled-water systems , 1990 .

[57]  Tin-Tai Chow,et al.  A neural-network-based identifier/controller for modern HVAC control , 1995 .

[58]  F. X. Litt,et al.  Optimal control applied to air conditioning in buildings , 1984 .

[59]  Jonathan A. Wright,et al.  The formulation, characteristics and solution of HVAC system optimized design problems , 1987 .

[60]  M. Kawato,et al.  A hierarchical neural-network model for control and learning of voluntary movement , 2004, Biological Cybernetics.

[61]  J. Mitchell,et al.  Optimal control development for chilled water plants using a quadratic representation , 2001 .

[62]  S. Fok,et al.  Neural-based air-handling unit for indoor relative humidity and temperature control. , 2005 .

[63]  R. Fletcher Practical Methods of Optimization , 1988 .

[64]  Shengwei Wang Editorial: Enhancing the Applications of Building Automation Systems for Better Building Energy and Environmental Performance , 2006 .

[65]  Yung-Chung Chang,et al.  Optimal chiller sequencing by branch and bound method for saving energy , 2005 .

[66]  H. N. Lam,et al.  Using genetic algorithms to optimize controller parameters for HVAC systems , 1997 .

[67]  Gregor P. Henze,et al.  Evaluation of Reinforcement Learning Control for Thermal Energy Storage Systems , 2003 .

[68]  A. Kaya,et al.  Energy management of chillers by multilevel control and optimization , 1985 .

[69]  Yung-Chung Chang,et al.  A novel energy conservation method—optimal chiller loading , 2004 .

[70]  A. M. Bassily,et al.  Cost optimization of a conical electric heater , 2005 .

[71]  Earl Reinhold Carlson,et al.  Understanding building automation systems : direct digital control, energy management, life safety, security/access control, lighting, building management programs , 1991 .

[72]  Haines,et al.  Control systems for heating, ventilating and air-conditioning. Fourth edition , 1971 .

[73]  Shengwei Wang,et al.  Dynamic simulation of building VAV air-conditioning system and evaluation of EMCS on-line control strategies , 1999 .

[74]  M. Kintner-Meyer,et al.  Optimal control of an HVAC system using cold storage and building thermal capacitance , 1995 .

[75]  A. Ravindran,et al.  Engineering Optimization: Methods and Applications , 2006 .

[76]  O. Nelles Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models , 2000 .

[77]  Gregor P. Henze,et al.  Statistical Analysis of Neural Networks as Applied to Building Energy Prediction , 2004 .

[78]  Yi Zhang,et al.  Model-Based Control of Renewable Energy Systems in Buildings , 2006 .

[79]  S. B. Austin Chilled water system optimization , 1993 .

[80]  Xiangjiang Zhou,et al.  Optimal operation of a large cooling system based on an empirical model , 2004 .

[81]  T. Hartman Designing Efficient Systems With the Equal Marginal Performance Principle , 2005 .

[82]  J. L. Nazareth,et al.  Conjugate gradient method , 2009 .

[83]  Clark W. Bullard,et al.  Development and validation of a room air-conditioning simulation model , 1997 .