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Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control

Chang-Ming Lin, Hsin-Yu Liu, Ko-Ying Tseng, Sheng-Fuu Lin
2019 Applied Sciences  
To demonstrate the effectiveness of the proposed HVAC system optimization control strategy combining FCU temperature control, this study conducted a field experiment.  ...  The third technique is a genetic algorithm for calculating the minimum energy consumption for an HVAC system.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9112391 fatcat:m3ewehr4vfdv7mqazag36pmubi

Computational intelligence techniques for HVAC systems: A review

Muhammad Waseem Ahmad, Monjur Mourshed, Baris Yuce, Yacine Rezgui
2016 Building Simulation  
Metaheuristic algorithms were the preferred CI method for solving HVAC related problems and in particular genetic algorithms were applied in most of the studies.  ...  and control of buildings and systems.  ...  The scalarization of objective functions is further discussed in Mourshed (2006) , Mourshed et al. (2011) .  ... 
doi:10.1007/s12273-016-0285-4 fatcat:eaexvu72tferbaphbfv6g6ynxu

Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System [article]

Sina Ardabili, Bertalan Beszedes, Laszlo Nadai, Karoly Szell, Amir Mosavi, Felde Imre
2020 arXiv   pre-print
This research proposes two hybrid models of adaptive neuro-fuzzy inference system-particle swarm optimization (ANFIS-PSO), and adaptive neuro-fuzzy inference system-genetic algorithm (ANFIS-GA) for HVAC  ...  Higher accuracy and better performance for prediction models of exergy destruction and energy consumption used in the control circuit of heating, ventilation, and air conditioning (HVAC) systems can be  ...  system-genetic algorithm (ANFIS-GA) to improve the performance of an HVAC control system.  ... 
arXiv:2002.11042v1 fatcat:e2iosgcioffalhxkkokjj3ppga

HVAC control methods - a review

Filip Belic, Zeljko Hocenski, Drazen Sliskovic
2015 2015 19th International Conference on System Theory, Control and Computing (ICSTCC)  
Making buildings more energy efficient while keeping thermal comfort has been an important topic in last decades, including improving efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems  ...  Most papers focus on one of the following trends: improving "classical" control methods; use of predictable control based on models; use of intelligent control methods.  ...  Second approach instead of ANN uses Genetic Algorithms (GA) for the same purposes, and it is called Genetic Fuzzy Systems (GFS). In second part of articles, a review of articles is given.  ... 
doi:10.1109/icstcc.2015.7321372 fatcat:f2zdpjkx3zbnhdrjmqqhagi2w4

Application of the genetic algorithm for cascade control of a HVAC system

Donka Ivanova, Nikolay Valov, Martin Deyanov, N. Mastorakis, V. Mladenov, A. Bulucea
2019 MATEC Web of Conferences  
In this article the application of genetic algorithm for tuning of HVAC cascade system is proposed.  ...  The best process quality is achieved with PI controller in the inner loop and a PID controller in the outer loop of the cascade HVAC system.  ...  SIMULATION RESULTS The genetic algorithm is applied for the tuning of a PID controller in a single-loop HVAC control system with transfer function (3) .  ... 
doi:10.1051/matecconf/201929201064 fatcat:imm52kvrevg5fgkg2pijdpkzyy

Optimization Of Energy Conservation Potential For Vav Air Conditioning System Using Fuzzy Based Genetic Algorithm

R. Parameshwaran, R. Karunakaran, S. Iniyan, Anand A. Samuel
2008 Zenodo  
The objective of this study is to present the test results of variable air volume (VAV) air conditioning system optimized by two objective genetic algorithm (GA).  ...  The optimal duct static pressure obtained through Genetic fuzzy methodology attributes to better air distribution by delivering the optimal quantity of supply air to the conditioned space.  ...  A new concept of integrating neural network and genetic algorithm in the system optimal control was discussed by Chow et al [5] .  ... 
doi:10.5281/zenodo.1085234 fatcat:ujlojsbotncvjao3v5ikgkti34

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

Farinaz Behrooz, Norman Mariun, Mohammad Marhaban, Mohd Mohd Radzi, Abdul Ramli
2018 Energies  
The advantages and disadvantages of each control method are discussed and finally the Fuzzy Cognitive Map (FCM) method is introduced as a new strategy for HVAC systems.  ...  With the purpose of making the system simpler by decoupling the system, the system is considered as a Single-Input and Single-Output (SISO) system.  ...  Acknowledgments: The study was supported by the Universiti Putra Malaysia to publish in open access. I would like to thank Uranus Saadat for language editing of the manuscript.  ... 
doi:10.3390/en11030495 fatcat:kogdje2derf55dqnpwxockoaly

Intelligent control of thermal comfort in automobile

Yadollah Farzaneh, Ali Akbarzadeh Tootoonchi
2008 2008 IEEE Conference on Cybernetics and Intelligent Systems  
Next, the membership functions of the fuzzy controller are optimized by Genetic Algorithm.  ...  Therefore, this paper proposes a simpler form of PMV index for using as fuzzy controller feedback. A fuzzy controller with PMV feedback is first designed for automobile climate control.  ...  Finally, the membership functions of fuzzy controller are tuned by Genetic Algorithm to further improve the performance of fuzzy controller.  ... 
doi:10.1109/iccis.2008.4670809 fatcat:kxpwayh7dnedtotady3ome4dki

Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis

Chin-Chi Cheng, Dasheng Lee
2019 Sensors  
Based on the presented data, the energy savings of HVAC systems that have AI functionality is less than those equipped with traditional energy management system (EMS) controlling techniques.  ...  Among the 18 AI tools developed for HVAC control during the past 20 years, only three functions, including weather forecasting, optimization, and predictive controls, have become mainstream.  ...  A fuzzy logic controller (FLC) is similar to human reasoning and can be used to control a complex system by using the rules of the IF-THEN algorithm.  ... 
doi:10.3390/s19051131 fatcat:2ghnxosb4nd3xk5lj4nn2y6rpa

Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review [article]

Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben-Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Riduan Mohamed Abid, Driss Benhaddou
2020 arXiv   pre-print
This systematic literature review aims to provide an overview of the intelligent control strategies inside building and to investigate their ability to balance thermal comfort and energy efficiency optimization  ...  Therefore, the creation of thermally comfortable and energy efficient environments is of great importance in the design of the buildings and hence the heating, ventilation and air-conditioning systems.  ...  In most cases, genetic algorithms have been introduced to solve optimization problems, since they are able to provide an optimal global solution. Regarding the genetic algorithm application, Yan et al  ... 
arXiv:2006.12559v2 fatcat:odaedlx7ibh5zasc2ux4okk7xe

A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection

R. Alcala, J. Alcala-Fdez, F. Herrera
2007 IEEE transactions on fuzzy systems  
Linguistic fuzzy modeling allows us to deal with the modeling of systems by building a linguistic model which is clearly interpretable by human beings.  ...  However, since the accuracy and the interpretability of the obtained model are contradictory properties, the necessity of improving the accuracy of the linguistic model arises when complex systems are  ...  ACKNOWLEDGMENT The authors would like to thank the GENESYS project partners for their careful implementation of the presented HVAC simulation model and for their valuable assistance.  ... 
doi:10.1109/tfuzz.2006.889880 fatcat:jkvxysjkc5b5zbc5cotzuw6cre

Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems [chapter]

Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Juan Luis Castro, Oscar Cordón, Antonio González, Francisco Herrera, Raúl Pérez
2003 Studies in Fuzziness and Soft Computing  
This work presents the use of genetic algorithms for the optimization and control of Heating, Ventilating and Air Conditioning (HVAC) systems developing smartly tuned fuzzy logic controllers for energy  ...  An optimum operation of the HVAC systems is a necessary condition for minimizing energy consumptions and optimizing indoor comfort in buildings.  ...  We w ould like to thank the GENESYS 1 project partners for their careful implementation of the presented HVAC s i m ulation models and for their invaluable assistance.  ... 
doi:10.1007/978-3-540-37008-6_14 fatcat:i2v655crl5aizlb3hvut232mmi

A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems

Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera
2005 Engineering applications of artificial intelligence  
In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating  ...  To do so, a genetic optimization process considering an efficient approach to perform rule weight derivation and rule selection is developed.  ...  Acknowledgements We would like to thank the GENESYS (see footnote 1) project partners for their careful implementation of the presented HVAC simulation models and for their valuable assistance.  ... 
doi:10.1016/j.engappai.2004.09.007 fatcat:5orlhwxu3zaldjvioklatpwbwy

A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems

María José Gacto, Rafael Alcalá, Francisco Herrera
2010 Applied intelligence (Boston)  
to better solve the HVAC system control problem.  ...  This paper focuses on the use of multi-objective evolutionary algorithms to develop smartly tuned fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems,  ...  This approach involves obtaining an optimal subset of fuzzy rules from a previous fuzzy rule set by selecting some of them.  ... 
doi:10.1007/s10489-010-0264-x fatcat:j64kxp5isffddj2vh3jyhuzfqy

Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems [chapter]

R. Alcalá, J. Alcalá-Fdez, F. J. Berlanga, M. J. Gacto, F. Herrera
2006 Lecture Notes in Computer Science  
dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements.  ...  In this work, we propose the use of a new post-processing method for the lateral and amplitude tuning of membership functions combined with a rule selection to develop accurate fuzzy logic controllers  ...  The HVAC System Control Problem An HVAC system is comprised by all the components of the appliance used to condition the interior air of a building.  ... 
doi:10.1007/11779568_49 fatcat:j6iu7z7xtfgr3pafpxrttf6acq
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