A novel enhanced exergy method in analyzing HVAC system using soft computing approaches: A case study on mushroom growing hall

[1]  Yang Wang,et al.  Evaluation on classroom thermal comfort and energy performance of passive school building by optimizing HVAC control systems , 2015 .

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

[3]  Oguz Kaynar,et al.  Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils , 2010, Expert Syst. Appl..

[4]  T. J. Kotas,et al.  The Exergy Method of Thermal Plant Analysis , 2012 .

[5]  Hamid Taghavifar,et al.  Towards modeling of combined cooling, heating and power system with artificial neural network for exergy destruction and exergy efficiency prognostication of tri-generation components , 2015 .

[6]  P. Ghosh,et al.  Energy and exergy comparisons of water based optimum brines as coolants for rectangular fin automotive radiator , 2017 .

[7]  Gholam Ali Montazer,et al.  An improvement in RBF learning algorithm based on PSO for real time applications , 2013, Neurocomputing.

[8]  Young-Seuk Park,et al.  Implementation of artificial neural networks in patterning and prediction of exergy in response to temporal dynamics of benthic macroinvertebrate communities in streams , 2001 .

[9]  Mikael Olsson.  Units , 2019, CSS3 Quick Syntax Reference.

[10]  Ibrahim Dincer,et al.  Exergy: Energy, Environment and Sustainable Development , 2007 .

[11]  Bo Fan,et al.  Evaluation of operation and control in HVAC (heating, ventilation and air conditioning) system using exergy analysis method , 2015 .

[12]  Hossein Navid,et al.  Application of artificial neural network in prediction of the combine harvester performance , 2010 .

[13]  Servet Soyguder,et al.  An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with Fuzzy Modeling Approach , 2009 .

[14]  Anna Gerber,et al.  Building Design And Construction Handbook , 2016 .

[15]  Jeff Cullen,et al.  Online genetic-ANFIS temperature control for advanced microwave biodiesel reactor , 2012 .

[16]  Slim Ben Youssef,et al.  The role of renewable energy and agriculture in reducing CO2 emissions: evidence for North Africa countries , 2017 .

[17]  Jurij Avsec,et al.  Artificial neural networking and fuzzy logic exergy controlling model of combined heat and power system in thermal power plant , 2015 .

[18]  Betul Bektas Ekici,et al.  Prediction of building energy needs in early stage of design by using ANFIS , 2011, Expert Syst. Appl..

[19]  Jurij Avsec,et al.  Artificial neural networking model of energy and exergy district heating mony flows , 2015 .

[20]  Yu-Chi Ho.  Neuro-fuzzy And Soft Computing - A Computational Approach To Learning And Machine Intelligence [Book Reviews] , 1998 .

[21]  Ken Kelley’s,et al.  Multiple Regression , 2002, Deutsche medizinische Wochenschrift.

[22]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[23]  Jalal Shiri,et al.  Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data , 2017 .

[24]  Radu Zmeureanu,et al.  EXERGY ANALYSIS OF RESIDENTIAL HEATING SYSTEMS: PERFORMANCE OF WHOLE SYSTEM VS PERFORMANCE OF MAJOR EQUIPMENT , 2011 .

[25]  Jun Cai,et al.  Exergy analysis of LBE-helium heat exchanger in the experimental cooling loop based on accelerator driven sub-critical power system , 2017 .

[26]  Asghar Mahmoudi,et al.  Modeling and comparison of fuzzy and on/off controller in a mushroom growing hall , 2016 .

[27]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[28]  Ibrahim Dincer,et al.  Understanding energy and exergy efficiencies for improved energy management in power plants , 2007 .

[29]  Li Nianping,et al.  Principles of exergy analysis in HVAC and evaluation of evaporative cooling schemes , 2002 .

[30]  Robert Babuska,et al.  Integrated dynamic modelling and multivariable control of HVAC components , 2016, 2016 European Control Conference (ECC).

[31]  Arif Hepbasli,et al.  Avoidable and unavoidable exergy destructions of a fluidized bed coal combustor and a heat recovery steam generator , 2015 .

[32]  Dalia Streimikiene,et al.  Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction , 2016 .

[33]  T. S. Ravikumar,et al.  Exergy analysis of solar assisted double effect absorption refrigeration system , 1998 .

[34]  I. Yilmaz,et al.  Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models , 2009 .

[35]  Hamed Sadighi Dizaji,et al.  Experimental exergy analysis for shell and tube heat exchanger made of corrugated shell and corrugated tube , 2017 .

[36]  R. C. Mohanty,et al.  Energy and Exergy Analysis of a Diesel Engine Fuelled with Diesel and Simarouba Biodiesel Blends , 2018 .

[37]  Antonio Valero,et al.  Exergy analysis of a Combined Cooling, Heating and Power system integrated with wind turbine and compressed air energy storage system , 2017 .

[38]  L. H. Hansen,et al.  Modelling the heat dynamics of a building using stochastic differential equations , 2000 .

[39]  Levent Yüksek,et al.  Artificial neural network approach to predicting engine-out emissions and performance parameters of a turbo charged diesel engine , 2013 .

[40]  İsmail Yabanova,et al.  Artificial neural network modeling of geothermal district heating system thought exergy analysis , 2012 .

[41]  Leila Naderloo,et al.  Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) , 2016 .

[42]  Soteris A. Kalogirou,et al.  Exergy analysis of solar thermal collectors and processes , 2016 .

[43]  Farrokh Janabi-Sharifi,et al.  Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods , 2015 .

[44]  A. Alimoradi.  Investigation of exergy efficiency in shell and helically coiled tube heat exchangers , 2017 .

[45]  David W. Franzen,et al.  Neural Network Optimisation of Remotely Sensed Maize Leaf Nitrogen with a Genetic Algorithm and Linear Programming using Five Performance Parameters , 2006 .

[46]  John R. Reisel,et al.  Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States , 2014 .

[47]  Asghar Mahmoudi,et al.  Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers , 2016 .

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

[49]  Simone Baldi,et al.  An integrated control-oriented modelling for HVAC performance benchmarking , 2016 .

[50]  Hossam A. Gabbar,et al.  Comfort-based fuzzy control optimization for energy conservation in HVAC systems , 2014 .

[51]  Ibrahim Dincer,et al.  Energy and exergy use in public and private sector of Saudi Arabia , 2004 .