GMDH algorithm for modeling the outlet temperatures of a solar chimney based on the ambient temperature

This work was carried out based on a constructed solar chimney with 2 m height and 3 m diameter. The temperature distributions were assessed based on the practical climatic conditions. In this work, the experimental data of temperature were investigated by a group method of data handling (GMDH). This method was applied as an artificial intelligence approach to predict the temperature changes, and also to find out the quality of the experimental data and temperature. In this case, a data set of 2000 condition-parameters for 30 days operation of solar chimney was applied. In order to obtain the network input and output variables, eight and four temperature sensors were set, respectively. In this study, according to the value correlation coefficient (R 2 ) and the root-mean square error (RMSE), the results of the trained networks have been reported. In the modeling and calculations, the ambient temperatures have been considered. Also temperature prediction was carried out with high accuracy. Finally, the results showed that the solar chimney’s experimental data were qualified with no noise and some formulas were obtained for each output based on the temperature input variables.

[1]  Ali Akbar Jamali,et al.  Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms , 2005 .

[2]  Chuntian Cheng,et al.  Using support vector machines for long-term discharge prediction , 2006 .

[3]  A. G. Ivakhnenko,et al.  Polynomial Theory of Complex Systems , 1971, IEEE Trans. Syst. Man Cybern..

[4]  Nader Nariman-zadeh,et al.  Hybrid genetic design of GMDH-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process , 2003 .

[5]  Atit Koonsrisuk,et al.  A single dimensionless variable for solar chimney power plant modeling , 2009 .

[6]  F. K. Forson,et al.  Simulation and optimisation of the ventilation in a chimney-dependent solar crop dryer , 2011 .

[7]  W. Haaf,et al.  Solar Chimneys: Part II: Preliminary Test Results from the Manzanares Pilot Plant , 1984 .

[8]  T. W. von Backström,et al.  Comparison of modelling approaches and layouts for solar chimney turbines , 2008 .

[9]  J. Schlaich,et al.  Solar Chimneys Part I: Principle and Construction of the Pilot Plant in Manzanares , 1983 .

[10]  Marc A. Rosen,et al.  Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine , 2015 .

[11]  Mohammad O. Hamdan,et al.  Analysis of solar chimney power plant utilizing chimney discrete model , 2013 .

[12]  Visakan Kadirkamanathan,et al.  Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms , 1999 .

[13]  Xinping Zhou,et al.  Experimental study of temperature field in a solar chimney power setup , 2007 .

[14]  Atit Koonsrisuk,et al.  Dynamic similarity in solar chimney modeling , 2007 .

[15]  Lu Zuo,et al.  Solar chimneys integrated with sea water desalination , 2011 .

[16]  M. A. dos S. Bernardes,et al.  Thermal and technical analyses of solar chimneys , 2003 .

[17]  Liang Zhao,et al.  Performance analysis of conventional and sloped solar chimney power plants in China , 2013 .

[18]  Nader Nariman-Zadeh,et al.  Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process , 2009, Eng. Appl. Artif. Intell..

[19]  Nader Nariman-zadeh,et al.  Polynomial modelling of explosive compaction process of metallic powders using GMDH-type neural networks and singular value decomposition , 2002 .

[20]  Guoliang Xu,et al.  Numerical analysis on the performance of solar chimney power plant system , 2011 .

[21]  A. Bejan,et al.  Constructal solar chimney configuration , 2010 .

[22]  R. Petela,et al.  Thermodynamic study of a simplified model of the solar chimney power plant , 2009 .

[23]  Ali Jamali,et al.  Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms , 2007 .

[24]  Salah Larbi,et al.  Thermo-hydrodynamic aspect analysis of flows in solar chimney power plants—A case study , 2010 .

[25]  Xin Yao,et al.  Evolving artificial neural networks , 1999, Proc. IEEE.

[26]  Liejin Guo,et al.  Simulation of a sloped solar chimney power plant in Lanzhou , 2011 .

[27]  F. K. Forson,et al.  Experimental investigations of a chimney-dependent solar crop dryer , 2009 .

[28]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[29]  Guy Albert Dumont,et al.  System identification and control using genetic algorithms , 1992, IEEE Trans. Syst. Man Cybern..

[30]  E. Bilgen,et al.  Solar chimney power plants for high latitudes , 2005 .

[31]  Detlev G. Kröger,et al.  Critical evaluation of solar chimney power plant performance , 2006 .

[32]  Wolfgang Schiel,et al.  Design of Commercial Solar Updraft Tower Systems—Utilization of Solar Induced Convective Flows for Power Generation , 2005 .

[33]  Reza Shirmohammadi,et al.  Optimization of mixed refrigerant systems in low temperature applications by means of group method of data handling (GMDH) , 2015 .

[34]  T. W. von Backström,et al.  Cost Analysis of solar chimney power plants. , 2009 .

[35]  Xinping Zhou,et al.  Analysis of chimney height for solar chimney power plant , 2009 .

[36]  Yuan Wang,et al.  Effects of collector radius and chimney height on power output of a solar chimney power plant with turbines , 2012 .

[37]  Xin Yao,et al.  Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms , 2005 .

[38]  Mohammad Hossein Ahmadi,et al.  Modeling and experimental verification of a 25W fabricated PEM fuel cell by parametric and GMDH-type neural network , 2016 .

[39]  Atit Koonsrisuk,et al.  Mathematical modeling of sloped solar chimney power plants , 2012 .

[40]  Hitoshi Iba,et al.  System Identification using Structured Genetic Algorithms , 1993, ICGA.

[41]  Theodor W. von Backström,et al.  Evaluation of operational control strategies applicable to solar chimney power plants , 2010 .