Modelling and predictive control techniques for building heating systems

[1]  Bruce H. Krogh,et al.  Decentralized identification of building models , 2014, 2014 American Control Conference.

[2]  Manfred Morari,et al.  Importance of occupancy information for building climate control , 2013 .

[3]  C. Ghiaus.  Experimental estimation of building energy performance by robust regression , 2006 .

[4]  Bart De Schutter,et al.  Adaptive prediction model accuracy in the control of residential energy resources , 2008, 2008 IEEE International Conference on Control Applications.

[5]  Darren Robinson,et al.  A generalised stochastic model for the simulation of occupant presence , 2008 .

[6]  Francesco Borrelli,et al.  Predictive Control for Energy Efficient Buildings with Thermal Storage: Modeling, Stimulation, and Experiments , 2012, IEEE Control Systems.

[7]  L. Ljung.  Prediction error estimation methods , 2002 .

[8]  Manfred Morari,et al.  Reducing peak electricity demand in building climate control using real-time pricing and model predictive control , 2010, 49th IEEE Conference on Decision and Control (CDC).

[9]  M. M. Gouda,et al.  Building thermal model reduction using nonlinear constrained optimization , 2002 .

[10]  Prabir Barooah,et al.  Energy-efficient control of under-actuated HVAC zones in commercial buildings , 2015 .

[11]  Stephen J. Wright,et al.  Cooperative distributed model predictive control , 2010, Syst. Control. Lett..

[12]  V. Geros,et al.  Modeling and predicting building's energy use with artificial neural networks: Methods and results , 2006 .

[13]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[14]  Christodoulos A. Floudas,et al.  Nonlinear and Mixed-Integer Optimization , 1995 .

[15]  Jovan D. Boskovic,et al.  A multiple model-based reconfigurable flight control system design , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[16]  Romain Bourdais,et al.  Hierarchical control method applied to energy management of a residential house , 2013 .

[17]  Petru-Daniel Morosan,et al.  Building temperature regulation using a distributed model predictive control , 2010 .

[18]  Nathan Mendes,et al.  Predictive controllers for thermal comfort optimization and energy savings , 2008 .

[19]  Paul M.J. Van den Hof,et al.  Determining Identifiable Parameterizations for Large-scale Physical Models in Reservoir Engineering , 2008 .

[20]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[21]  Prashant G. Mehta,et al.  Structure-preserving model reduction of nonlinear building thermal models , 2014, Autom..

[22]  Ganesh K. Venayagamoorthy,et al.  Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[23]  Draguna Vrabie,et al.  Parameter estimation of a building system model and impact of estimation error on closed-loop performance , 2011, IEEE Conference on Decision and Control and European Control Conference.

[24]  Peng Xu,et al.  Demand reduction in building energy systems based on economic model predictive control , 2012 .

[25]  Dominique Marchio,et al.  Development and validation of a gray box model to predict thermal behavior of occupied office buildings , 2014 .

[26]  Soumik Sarkar,et al.  Comparative Evaluation of Control-Oriented Zone Temperature Prediction Modeling Strategies in Buildings , 2015, HRI 2015.

[27]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[28]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[29]  Inseok Hwang,et al.  A Survey of Fault Detection, Isolation, and Reconfiguration Methods , 2010, IEEE Transactions on Control Systems Technology.

[30]  Won Y. Lee,et al.  Classification Techniques for Fault Detection and Diagnosis of an Air-Handling Unit | NIST , 1999 .

[31]  Claudia D'Ambrosio,et al.  Mixed integer nonlinear programming tools: an updated practical overview , 2013, Ann. Oper. Res..

[32]  Jin Wen,et al.  Review of building energy modeling for control and operation , 2014 .

[33]  Manfred Morari,et al.  Model Predictive Climate Control of a Swiss Office Building: Implementation, Results, and Cost–Benefit Analysis , 2016, IEEE Transactions on Control Systems Technology.

[34]  Anders Forsgren,et al.  Interior Methods for Nonlinear Optimization , 2002, SIAM Rev..

[35]  Petru-Daniel Morosan,et al.  Distributed model predictive control based on Benders' decomposition applied to multisource multizone building temperature regulation , 2010, 49th IEEE Conference on Decision and Control (CDC).

[36]  Andrew G. Alleyne,et al.  Optimal control architecture selection for thermal control of buildings , 2011 .

[37]  J. D. Boskovic,et al.  Fault accommodation using model predictive methods , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[38]  Andrew G. Alleyne,et al.  Optimal Partitioning for the Decentralized Thermal Control of Buildings , 2013, IEEE Transactions on Control Systems Technology.

[39]  Rajesh Kumar,et al.  Energy analysis of a building using artificial neural network: A review , 2013 .

[40]  Alistair B. Sproul,et al.  Optimisation of energy management in commercial buildings with weather forecasting inputs: A review , 2014 .

[41]  Thomas F. Edgar,et al.  Building energy model reduction for model predictive control using OpenStudio , 2013, 2013 American Control Conference.

[42]  Nursyarizal Mohd Nor,et al.  A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .

[43]  G. J. Rios-Moreno,et al.  Modelling temperature in intelligent buildings by means of autoregressive models , 2007 .

[44]  Arthur L. Dexter,et al.  An Inferential Model-Based Predictive Control Scheme for Optimizing the Operation of Boilers in Building Space-Heating Systems , 2010, IEEE Transactions on Control Systems Technology.

[45]  Rolf Isermann,et al.  Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..

[46]  Prabir Barooah,et al.  Issues in identification of control-oriented thermal models of zones in multi-zone buildings , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[47]  Alberto Sangiovanni-Vincentelli,et al.  Optimal Control of Building HVAC Systems in the Presence of Imperfect Predictions - eScholarship , 2014 .

[48]  Frédéric Magoulès,et al.  A review on the prediction of building energy consumption , 2012 .

[49]  Francesco Borrelli,et al.  Stochastic Model Predictive Control for Building HVAC Systems: Complexity and Conservatism , 2015, IEEE Transactions on Control Systems Technology.

[50]  Gordon Lightbody,et al.  Modelling and disturbance estimation for model predictive control in building heating systems , 2016 .

[51]  Samuel Prívara,et al.  Model predictive control of buildings: The efficient way of heating , 2010, 2010 IEEE International Conference on Control Applications.

[52]  J. F. Nicol,et al.  The validity of ISO-PMV for predicting comfort votes in every-day thermal environments , 2002 .

[53]  Prabir Barooah,et al.  Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance , 2013 .

[54]  Jon Hand,et al.  CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS , 2008 .

[55]  William D'haeseleer,et al.  Control of heating systems in residential buildings: Current practice , 2008 .

[56]  Fu Xiao,et al.  AHU sensor fault diagnosis using principal component analysis method , 2004 .

[57]  Philip Haves,et al.  Model predictive control for the operation of building cooling systems , 2010, Proceedings of the 2010 American Control Conference.

[58]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[59]  Xiaojun Wu,et al.  Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection , 2012, Evolutionary Computation.

[60]  Jan M. Maciejowski.  Fault-tolerant aspects of MPC , 1999 .

[61]  Michael Sebek,et al.  Subspace identification of poorly excited industrial systems , 2010, 49th IEEE Conference on Decision and Control (CDC).

[62]  Christian Ghiaus,et al.  Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part , 2012 .

[63]  Si-Zhao Joe Qin,et al.  Model predictive control of building energy systems with balanced model reduction , 2012, 2012 American Control Conference (ACC).

[64]  Alberto Hernandez Neto,et al.  Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption , 2008 .

[65]  Panagiotis D. Christofides,et al.  Data-based monitoring and reconfiguration of a distributed model predictive control system , 2011, Proceedings of the 2011 American Control Conference.

[66]  Andrew G. Alleyne,et al.  Decentralized predictive thermal control for buildings , 2014 .

[67]  Farrokh Janabi-Sharifi,et al.  Review of modeling methods for HVAC systems , 2014 .

[68]  Arun Kumar,et al.  A review on modeling and simulation of building energy systems , 2016 .

[69]  Francesco Borrelli,et al.  A distributed predictive control approach to building temperature regulation , 2011, Proceedings of the 2011 American Control Conference.

[70]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[71]  Jirí Cigler,et al.  Subspace identification and model predictive control for buildings , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[72]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[73]  Christian Ghiaus,et al.  Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part I – Building modeling , 2012 .

[74]  Håkan Hjalmarsson,et al.  The Cost of Complexity in Identification of FIR Systems , 2008 .

[75]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[76]  Eduardo Camponogara,et al.  Distributed model predictive control , 2002 .

[77]  Lorenz T. Biegler,et al.  On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..

[78]  Youmin Zhang,et al.  Design of integrated fault detection, diagnosis and reconfigurable control systems , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[79]  Paul Raftery,et al.  A review of methods to match building energy simulation models to measured data , 2014 .

[80]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..

[81]  Manfred Morari,et al.  Modeling and identification of a large multi-zone office building , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[82]  Wenbo Xu,et al.  Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[83]  G. Nemhauser,et al.  Integer Programming , 2020 .

[84]  Manfred Morari,et al.  Stochastic Model Predictive Control for Building Climate Control , 2014, IEEE Transactions on Control Systems Technology.

[85]  Francisco Rodríguez,et al.  A comparison of thermal comfort predictive control strategies , 2011 .

[86]  Kevin M. Passino,et al.  Swarm Stability and Optimization , 2011 .

[87]  Donald J. Chmielewski,et al.  HVAC control using infinite-horizon economic MPC , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[88]  Eduardo F. Camacho,et al.  Fault-tolerant model predictive control , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[89]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[90]  A. J. Morris,et al.  Artificial neural networks in process engineering , 1991 .

[91]  Bruce H. Krogh,et al.  Parameter identifiability for multi-zone building models , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[92]  Jan M. Maciejowski,et al.  Modelling and predictive control: Enabling technologies for reconfiguration , 1999 .

[93]  Stephen J. Wright,et al.  Numerical Optimization , 2018, Fundamental Statistical Inference.

[94]  Jan M. Maciejowski,et al.  The Implicit Daisy-Chaining Property of Constrained Predictive Control , 1997 .

[95]  Prabir Barooah,et al.  Identification of multi-zone building thermal interaction model from data , 2011, IEEE Conference on Decision and Control and European Control Conference.

[96]  Gilles Lefebvre,et al.  Using model size reduction techniques for thermal control applications in buildings , 2000 .

[97]  Andrew G. Alleyne,et al.  Decentralized architectures for thermal control of buildings , 2012, 2012 American Control Conference (ACC).

[98]  António E. Ruano,et al.  Neural networks based predictive control for thermal comfort and energy savings in public buildings , 2012 .

[99]  Siyu Wu,et al.  A physics-based linear parametric model of room temperature in office buildings , 2012 .

[100]  Sippe G. Douma,et al.  Identifiability: from qualitative analysis to model structure approximation , 2009 .

[101]  Michael Baldea,et al.  Model reduction and nonlinear MPC for energy management in buildings , 2013, 2013 American Control Conference.

[102]  Gordon Lightbody,et al.  A hierarchical Model-based Predictive Control strategy for building heating systems , 2014 .

[103]  Lennart Ljung,et al.  System identification (2nd ed.): theory for the user , 1999 .

[104]  Frauke Oldewurtel,et al.  Experimental analysis of model predictive control for an energy efficient building heating system , 2011 .

[105]  J. Maciejowski,et al.  Designing model predictive controllers with prioritised constraints and objectives , 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

[106]  Adrian Gambier,et al.  Fault-tolerant control by using lexicographic multi-objective optimization , 2011, 2011 8th Asian Control Conference (ASCC).

[107]  Mahdi Shahbakhti,et al.  Building Efficiency and Sustainability in the Tropics ( SinBerBEST ) Title Handling model uncertainty in model predictive control for energy efficient buildings Permalink , 2014 .

[108]  Jun Sun,et al.  A global search strategy of quantum-behaved particle swarm optimization , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[109]  Gordon Lightbody,et al.  Prioritised objectives for model predictive control of building heating systems , 2017 .

[110]  Adrian Gambier,et al.  Multi-objective Optimal Control: An Overview , 2007, 2007 IEEE International Conference on Control Applications.

[111]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[112]  Lingfeng Wang,et al.  Multi-objective optimization for decision-making of energy and comfort management in building automation and control , 2012 .