A review on optimization techniques for active thermal energy storage control

Abstract The increasing popularity of smart energy systems has led to a gradual increase in the importance of thermal energy storage (TES) technology. Thus, the control strategy employed to efficiently take advantage of TES is expected to be very important. In other words, the time schedule, the particular components to be activated, and the amount of charging/discharging have to be appropriately determined. To date, a number of studies have investigated the optimization of TES operations by using optimization techniques. Current methods being used to achieve optimal TES operation are reviewed in this paper.

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

[2]  Sean Hay Kim,et al.  Building demand-side control using thermal energy storage under uncertainty: An adaptive Multiple Model-based Predictive Control (MMPC) approach , 2013 .

[3]  Sih-Li Chen,et al.  Optimization of an ice-storage air conditioning system using dynamic programming method , 2005 .

[4]  C. G. Broyden.  The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations , 1970 .

[5]  Mauro Reini,et al.  Optimization of a Distributed Cogeneration System with solar district heating , 2014 .

[6]  Keenan Valentine,et al.  Reducing power system costs with thermal energy storage , 2014 .

[7]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[8]  Wen-Shing Lee,et al.  Optimization for ice-storage air-conditioning system using particle swarm algorithm , 2009 .

[9]  Moncef Krarti,et al.  Optimal controls of building storage systems using both ice storage and thermal mass – Part II: Parametric analysis , 2012 .

[10]  José A. Candanedo,et al.  Model-based predictive control of an ice storage device in a building cooling system , 2013 .

[11]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[12]  Sepehr Sanaye,et al.  Thermoeconomic optimization of an ice thermal storage system for gas turbine inlet cooling , 2011 .

[13]  Zheng Li,et al.  An engineering approach to the optimal design of distributed energy systems in China , 2013 .

[14]  A. Stacey,et al.  Particle swarm optimization with mutation , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[15]  Moncef Krarti,et al.  Optimal control of building storage systems using both ice storage and thermal mass – Part I: Simulation environment , 2012 .

[16]  A. M. Geoffrion.  Generalized Benders decomposition , 1972 .

[17]  François Maréchal,et al.  Multi-objectives, multi-period optimization of district energy systems: II - Daily thermal storage , 2014, Comput. Chem. Eng..

[18]  Richard H. Byrd,et al.  Analysis of a Symmetric Rank-One Trust Region Method , 1996, SIAM J. Optim..

[19]  Michael J. Benz,et al.  Cost-optimal design of an ice-storage cooling system using mixed-integer linear programming techniques under various electricity tariff schemes , 2012 .

[20]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[21]  K. Kataoka,et al.  Optimal demand controls for a heat pump water heater under different objective functions , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[22]  Aristide F. Massardo,et al.  Thermo-economic optimization of the impact of renewable generators on poly-generation smart-grids including hot thermal storage , 2013 .

[23]  Andrea Luigi Facci,et al.  Analysis of the influence of Thermal Energy Storage on the Optimal Management of a Trigeneration Plant , 2014 .

[24]  Ryohei Yokoyama,et al.  Suitable operational strategy for power interchange operation using multiple residential SOFC (solid oxide fuel cell) cogeneration systems , 2010 .

[25]  Taher Niknam,et al.  Multi-objective energy management of CHP (combined heat and power)-based micro-grid , 2013 .

[26]  R. Bellman.  Dynamic programming. , 1957, Science.

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

[28]  D. Shanno.  Conditioning of Quasi-Newton Methods for Function Minimization , 1970 .

[29]  S. Ashok,et al.  Optimal cool storage capacity for load management , 2003 .

[30]  Alberto Traverso,et al.  Real-time tool for management of smart polygeneration grids including thermal energy storage , 2014 .

[31]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[32]  Francesco Borrelli,et al.  Model Predictive Control of thermal energy storage in building cooling systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[33]  R. J. Dakin,et al.  A tree-search algorithm for mixed integer programming problems , 1965, Comput. J..

[34]  Ali Shirazi,et al.  Thermo-economic optimization of an ice thermal energy storage system for air-conditioning applications , 2013 .

[35]  Stéphane Grieu,et al.  Methodology for the design of energy production and storage systems in buildings: Minimization of the energy impact on the electricity grid , 2012 .

[36]  Isao Ono,et al.  A new real-coded genetic algorithm for implicit constrained black-box function optimization , 2013, 2013 IEEE Congress on Evolutionary Computation.

[37]  Lino Guzzella,et al.  Optimal design and operation of building services using mixed-integer linear programming techniques , 2013 .

[38]  Gregor P. Henze.  Parametric Study of a Simplified Ice Storage Model Operating Under Conventional and Optimal Control Strategies , 2002 .

[39]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[40]  R. Fletcher,et al.  A New Approach to Variable Metric Algorithms , 1970, Comput. J..

[41]  D. Goldfarb.  A family of variable-metric methods derived by variational means , 1970 .

[42]  Gregor P. Henze,et al.  Evaluation of optimal control for active and passive building thermal storage , 2004 .

[43]  Fu Xiao,et al.  Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review , 2013 .

[44]  J. Braun,et al.  Load Control Using Building Thermal Mass , 2003 .

[45]  Bronwyn H Hall,et al.  Estimation and Inference in Nonlinear Structural Models , 1974 .

[46]  Hiroyuki Nakai,et al.  Development of the Automatic Modeling System for Reaction Mechanisms Using REX+JGG , 2013 .

[47]  Isao Ono,et al.  Adaptation of expansion rate for real-coded crossovers , 2009, GECCO.

[48]  Ignacio E. Grossmann,et al.  An outer-approximation algorithm for a class of mixed-integer nonlinear programs , 1986, Math. Program..

[49]  Weiyi Li,et al.  Optimization and Analysis of Distributed Energy System with Energy Storage Device , 2011 .

[50]  Hitoshi Iba,et al.  Particle swarm optimization with Gaussian mutation , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[51]  Gérard Cornuéjols,et al.  Valid inequalities for mixed integer linear programs , 2007, Math. Program..

[52]  Vincent Lemort.  A numerical comparison of control strategies applied to an existing ice storage system , 2006 .

[53]  A. Land,et al.  An Automatic Method for Solving Discrete Programming Problems , 1960, 50 Years of Integer Programming.

[54]  Zhiqiang Zhai,et al.  Particle swarm optimization for redundant building cooling heating and power system , 2010 .

[55]  Ailsa H. Land,et al.  An Automatic Method of Solving Discrete Programming Problems , 1960 .

[56]  Thomas L. Magnanti,et al.  Applied Mathematical Programming , 1977 .

[57]  Erling D. Andersen,et al.  Presolving in linear programming , 1995, Math. Program..

[58]  Zhenjun Ma,et al.  Supervisory and Optimal Control of Building HVAC Systems: A Review , 2008 .

[59]  Francesco Melino,et al.  Influence of the thermal energy storage on the profitability of micro-CHP systems for residential building applications , 2012 .

[60]  Ruzhu Wang,et al.  Method to design optimal scheme for cold storage air conditioning system , 2002 .

[61]  Ryohei Yokoyama,et al.  A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges , 2014 .