Journal articles: 'Fuzzy logic : Air conditioning'

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Moe, Maung Kyaw Soe. "Design and Simulation of Automatic Room Temperature by Using Fuzzy Control." ACMIT Proceedings 4, no. 1 (March 19, 2017): 67–78. http://dx.doi.org/10.33555/acmit.v4i1.61.

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In air conditioning system, efficient operation of air conditioning equipment to suit the user demand is important and to achieve that, Fuzzy Logic controller can play a key role in formulating the next generation of control technology for the traditional air conditioning equipment. The target of this research is to develop a fuzzy logic control which will allow less usage of energy by optimum operation of air conditioning which would also promote Conservation of Energy. The control system in this study also would need to achieve a Stable Climate Condition in the room within the limits of control set points and promote convenient to the users by automatic control. The control strategy proposed in this thesis work is fuzzy logic controller (FLC). A MATLAB fuzzy program tool is used to develop a fuzzy logic controller to achieve within the comfort parameters of temperature and artificial lighting as well as energy savings. Simulink program in MATLAB will also be used to simulate the fuzzy logic in this Thesis work. Based on the findings observed on the case study described in this Thesis Report, the savings achieved by the Fuzzy Logic Air Conditioning System is about 66%.With these results, it can be concluded that the objective of this Thesis work has been full filled)

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Rajagopalan, Parameshwaran, Karunakaran Rajasekaran, Senthilkumar Alagarsamy, S. Iniyan, and Mohal Lal. "Experimental analysis of fuzzy controlled energy efficient demand controlled ventilation economizer cycle variable air volume air conditioning system." Thermal Science 12, no. 3 (2008): 15–32. http://dx.doi.org/10.2298/tsci0803015r.

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In the quest for energy conservative building design, there is now a great opportunity for a flexible and sophisticated air conditioning system capable of addressing better thermal comfort, indoor air quality, and energy efficiency, that are strongly desired. The variable refrigerant volume air conditioning system provides considerable energy savings, cost effectiveness and reduced space requirements. Applications of intelligent control like fuzzy logic controller, especially adapted to variable air volume air conditioning systems, have drawn more interest in recent years than classical control systems. An experimental analysis was performed to investigate the inherent operational characteristics of the combined variable refrigerant volume and variable air volume air conditioning systems under fixed ventilation, demand controlled ventilation, and combined demand controlled ventilation and economizer cycle techniques for two seasonal conditions. The test results of the variable refrigerant volume and variable air volume air conditioning system for each techniques are presented. The test results infer that the system controlled by fuzzy logic methodology and operated under the CO2 based mechanical ventilation scheme, effectively yields 37% and 56% per day of average energy-saving in summer and winter conditions, respectively. Based on the experimental results, the fuzzy based combined system can be considered to be an alternative energy efficient air conditioning scheme, having significant energy-saving potential compared to the conventional constant air volume air conditioning system.

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Nan, Jin Rui, Yao Wang, Zhi Chai, and Jun Kui Huang. "Modeling of Electric Vehicle Air Conditioning System and Analysis of Energy Consumption." Advanced Materials Research 516-517 (May 2012): 1164–70. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1164.

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An simulation model for pure electric vehicle air conditioning system is established in MATLAB/ Simulink environment. The critical component of air conditioning system is selected and simulated. Fuzzy logic control method is used in AC motor controlling strategy. Combined with ADVISOR, the total vehicle energy consumption and AC energy consumption are simulated and calculated. The research indicate that by using Fuzzy logic control led AC system, the vehicle’s economcial effeciency improved. Life mileage is longer than the EV with traditional AC system and a better effect of energy saving is achieved.

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Nasution, Henry. "DEVELOPMENT OF FUZZY LOGIC CONTROL FOR VEHICLE AIR CONDITIONING SYSTEM." TELKOMNIKA (Telecommunication Computing Electronics and Control) 6, no. 2 (August 1, 2008): 73. http://dx.doi.org/10.12928/telkomnika.v6i2.553.

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Nasution, Henry, Hishamuddin Jamaluddin, and Jamaluddin Mohd. Syeriff. "Energy Analysis for Air Conditioning System Using Fuzzy Logic Controller." TELKOMNIKA (Telecommunication Computing Electronics and Control) 9, no. 1 (April 1, 2011): 139. http://dx.doi.org/10.12928/telkomnika.v9i1.680.

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Lygouras, J. N., P. N. Botsaris, J. Vourvoulakis, and V. Kodogiannis. "Fuzzy logic controller implementation for a solar air-conditioning system." Applied Energy 84, no. 12 (December 2007): 1305–18. http://dx.doi.org/10.1016/j.apenergy.2006.10.002.

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Attia, Abdel-Hamid, Sohair F. Rezeka, and Ahmed M. Saleh. "Fuzzy logic control of air-conditioning system in residential buildings." Alexandria Engineering Journal 54, no. 3 (September 2015): 395–403. http://dx.doi.org/10.1016/j.aej.2015.03.023.

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Dong, Jie. "Adaptive PID Control for the Air-Conditioning System in Spray-Paint Workshop Based on Fuzzy Logic." Advanced Materials Research 433-440 (January 2012): 5733–38. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5733.

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As the improvement of the modern workshop’s demand for cool supply, heating system, how to effectively manage the air-conditioning equipments to satisfy the production skills for air-conditioning system has become an important subject for modern workshop design. This paper comes from the No.1 motorcar company’s project about the automatic air-conditioning system of the car spray-paint workshop. For many reasons, the conventional PID control is difficult to satisfy the car spray-paint production’s strictly demands of the temperature, after a careful research of the object, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the air-conditioning heater’s controlling, through the practice, we find the controller has a good robust property and realized a good control result.

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Abe, Yasunori, Toshio Fukuda, Kouetsu Tanaka, Yoshio Tanaka, Fumihito Arai, Koji Shimojima, and Shigenori Ito. "Navigation System for Air Conditioning Equipment Inspection Robot." Journal of Robotics and Mechatronics 7, no. 5 (October 20, 1995): 354–66. http://dx.doi.org/10.20965/jrm.1995.p0354.

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We have previously proposed a navigation system for autonomous mobile robots that can recognize regular ceiling landmarks. This system can find square air diffusers on ceilings by sensing their multiple-quadrangle characteristics. We have now developed a new system that is able to recognize circular air diffusers. In addition, certain lighting conditions which obstructed recognition in the original system do not interfere with the newly proposed system. Here we applied Fuzzy and Neural Network Logic technology. A pre-processed image of a landmark is compared with a fuzzy template made from the fuzzy membership function. In order to find specific landmarks, the system determines the degrees of similarity by comparing the sited object with a variety of templates stored in its memory. Then a Neural Network uses results of this calculation to hone in on its target. So, the system can recognize many different kinds of landmarks. This paper shows the principle of this system and experimental results.

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Rahman, Sam Matiur, Mohammad Fazle Rabbi, Omar Altwijri, Mahdi Alqahtani, Tasriva Sikandar, Izzeldin Ibrahim Abdelaziz, Md Asraf Ali, and Kenneth Sundaraj. "Fuzzy logic-based improved ventilation system for the pharmaceutical industry." International Journal of Engineering & Technology 7, no. 2 (April 29, 2018): 640. http://dx.doi.org/10.14419/ijet.v7i2.9985.

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Indoor air quality in pharmaceutical industry plays a vital role in the production and storing of medicine. Stable indoor environment including favorable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based intelligent ventilation system to control the indoor air quality in pharmaceutical sites. Specifically, in the proposed fuzzy inference system, the ventilation system can control the air flow and quality in accordance with the indoor temperature, humidity, air flow and microorganisms in the air. The MATLAB® fuzzy logic toolbox was used to simulate the performance of the fuzzy inference system. The results show that the efficiency of the system can be improved by manipulating the input-output parameters according to the user’s demands. Compared with conventional heating, ventilation and air-conditioning (HVAC) systems, the proposed ventilation system has the additional feature of the existence of microorganisms, which is a crucial criterion of indoor air quality in pharmaceutical laboratories.

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Abdullah, Muhammad Amirul, Salmiah Ahmad, and Siti Fauziah Toha. "Design and Development of a Solar Based Air Conditioning Blower System for Vehicle." Advanced Materials Research 1115 (July 2015): 446–49. http://dx.doi.org/10.4028/www.scientific.net/amr.1115.446.

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A solar based air conditioning blower model of vehicle has been presented together with the development of its intelligent controller in this report. The model is dependent on its own battery that is recharged by the energy collected from solar panel system. An automatic variable speed blower is introduced into the system. Vehicle cabin temperature is controlled by varying the blower speed. The intelligent controller is embedded with fuzzy logic strategy. A control algorithm is obtained with a design of the model and the system. The results satisfied the project objectives. The system is able to run using a lead acid battery and a solar panel with power consumption of 98.4 W. The fuzzy logic controller performed well with a percentage error less than 1.64%.

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SHAHNAWAZAHMED, S., M. SHAHMAJID, H. NOVIA, and H. ABDRAHMAN. "Fuzzy logic based energy saving technique for a central air conditioning system." Energy 32, no. 7 (July 2007): 1222–34. http://dx.doi.org/10.1016/j.energy.2006.07.025.

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Rezeka, Sohair F., Abdel-Hamid Attia, and Ahmed M. Saleh. "Management of air-conditioning systems in residential buildings by using fuzzy logic." Alexandria Engineering Journal 54, no. 2 (June 2015): 91–98. http://dx.doi.org/10.1016/j.aej.2015.03.014.

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Plodprong, Chutima, Worarat Patprakorn, and Pornrapeepat Bhasaputra. "A Fuzzy Logic Based on Theoptimal Energy Conservation with Human Satisfaction of the Inverter Air Conditioning System for Tropical Area." Advanced Materials Research 622-623 (December 2012): 122–29. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.122.

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This research is study of the air conditioning by used fuzzy logic control to analysis. It will take into account the energy savings and the room temperature remained in range of comfort zone for the resident's satisfaction. To control % AC compressor and fan speed. The system was simulated and designed simulation model of fuzzy logic controlled on Matlab program to monitor energy consumption and temperature of the room. The results indicate that thermal comfort of the room together with energy saving can be obtained through fuzzy logic controlled .At a temperature setting of 25 °C and defined heat load in the room, the energy saving for the system is calculated to 30.77 % for fuzzy controllers when compared with on-off condition.

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Koçak, Sinan, and László Pokorádi. "Comparison of Defuzzification Methods in The Case of Air Conditioning Systems." Műszaki Tudományos Közlemények 9, no. 1 (October 1, 2018): 115–18. http://dx.doi.org/10.33894/mtk-2018.09.24.

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Abstract This paper provides the design for air conditioning system and two different defuzzification methods. The air conditioner intelligent system is the control of two control parameter: the temperature and the humidity of the area. The inputs received by the temperature and humidity sensors give the closest output values for the air conditioning system. The simulation result shows temperature and humidity of the heat exchange by using defuzzification methods of centroid and middle of maxima (MoM) in the Fuzzy Logic Toolbox of MATLAB package program.

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Yudanto, Adhitya Yoga, Marvin Apriyadi, and Kevin Sanjaya. "Optimalisasi Lampu Lalu Lintas dengan Fuzzy Logic." Jurnal ULTIMATICS 5, no. 2 (December 1, 2013): 58–62. http://dx.doi.org/10.31937/ti.v5i2.322.

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The traffic lights problem is already commonly found in large cities. The traffic lights are supposed to control the flow of the road, but sometimes causes a congestion. This happens because the distribution of the time are all the same for all lines, without seeing the condition of the density of each lane. There’s one effort that can be done to overcome this problem, is to create a traffic light control system. With this system, the congestion that occurs around the traffic lights can be reduced. This system is using fuzzy logic. Fuzzy logic is one of computer science that studies about the value of truth that worth a lot. For example, a air conditioning system control subway Sendai in Japan. As for making a traffic light control system, the author using Fuzzy Inference System (FIS) that already exist in the application of MATLAB R2013a with Mamdani method. Index Terms —fuzzy logic, traffic lights, MATLAB.

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Wang, Jia, Feng Wang, Yong Jiang, Zhi Xin Chen, and Shi Tian Yan. "Application of Fuzzy PID for the Ventilation and Air Conditioning System of Subway Station." Applied Mechanics and Materials 128-129 (October 2011): 811–14. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.811.

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The ventilation and air conditioning system in the public area of subway station is a complex system which possesses a problem by once setting parameters of PID is difficult to ensure excellent control effect. Therefore this paper proposed an algorithm to adopt parameter tuning that could adjust the PID parameters on real time to ensure good quality of control system. It combined fuzzy logic control with conventional PID control algorithm, with the help of fuzzy tuning of PID parameters on line to change the control effect. By simulation, fuzzy PID controller could get better in control effect, higher in control accuracy, stronger in robustness than before.

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Lygouras, J. N., V. S. Kodogiannis, Th Pachidis, K. N. Tarchanidis, and C. S. Koukourlis. "Variable structure TITO fuzzy-logic controller implementation for a solar air-conditioning system." Applied Energy 85, no. 4 (April 2008): 190–203. http://dx.doi.org/10.1016/j.apenergy.2007.07.001.

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Pan, Chaofeng, Yuanxue Tao, Limei Wang, Huanhuan Li, and Jufeng Yang. "Fuzzy energy management strategy for electric vehicle combining driving cycle construction and air-conditioning load identification." Advances in Mechanical Engineering 13, no. 2 (February 2021): 168781402199438. http://dx.doi.org/10.1177/1687814021994381.

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Energy management strategy is developed by considering the random and air conditioning load fluctuation, which greatly affected the torque control of the electric motor in electric vehicle. Firstly, the vehicle power consumption model is established, based on the influencing factors of electric vehicle energy consumption: random load and air conditioning load. Therefore, driving conditions with random characteristics representing the actual random load are constructed. According to the clustered characteristic parameters, the driving conditions were classified as different driving modes. Secondly, the mode of predicted condition was taken as a variable to evaluate the logic threshold strategy and fuzzy control strategy in which the influence of air conditioning was considered. Finally, under the condition of New European Driving Cycle (NEDC), the proposed management strategy was simulated in software environment, and the hardware in-loop (HIL) test was performed to verify the strategy. The simulation and HIL test results show that the proposed energy management strategy can increase the driving range by considering the load fluctuation of air conditioning. Furthermore, the strategy combining the driving mode prediction can alleviate the decline rate of SOC. And the fuzzy control strategy has better adaptability in complex conditions and lower battery energy consumption rate.

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Yanto, Gusrino. "FUZZY LOGIC CONTROL OF AIR-CONDITIONING SYSTEM IN LECTURER ROOM OF STMIK INDONESIA PADANG." FISITEK : Jurnal Ilmu Fisika dan Teknologi 1, no. 2 (January 31, 2018): 23. http://dx.doi.org/10.30821/fisitek.v1i2.1412.

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Yau, YH, and CP Chang. "Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 232, no. 8 (February 28, 2018): 1079–92. http://dx.doi.org/10.1177/0957650918762022.

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The current research presents the study of the proposed thermostat setting developed in the previous work through a numerical simulation project using transient system simulation tool. The transient system simulation tool code is used to integrate the fuzzy logic to optimise a room thermostat with the multi-zone building model (Type56a). A set of equations is designed in the transient system simulation tool project to represent the fuzzy logic control system of the proposed thermostat setting. The performance analysis for the air-conditioning system installed with and without the application of the control system in terms of the operative zone temperature, the sensible cooling demand, the solar radiation, and the internal gains for a thermal zone for recent years or 2000s, and for the years 2020, 2050 and 2080 were comprehensively examined. Estimations of both predicted mean vote and predicted percentage of dissatisfied persons of the zone were also investigated. The findings indicate that a considerable amount of sensible cooling demand of approximately 8420 kJ/h or equivalent to 3.54% can be saved with the application of the proposed thermostat setting. The predicted mean vote is in the range from −0.22 to 0.72 with its average between 0.20 and 0.26 for the AC system installed with fuzzy logic control. These results further suggest that the thermal comfort of occupants can be improved taking into account their activity level, clothing insulation, indoor air temperature, air velocity, mean radiant temperature and relative humidity.

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Et. al., Sakshi Srivastav,. "Fuzzy Logic Based Environment Control of Operation Theatre." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 1S (April 11, 2021): 220–32. http://dx.doi.org/10.17762/turcomat.v12i1s.1761.

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It is very critical and important to maintain the appropriate climatic conditions in the operation theatre. In paper, we present an approach to control total environmental conditions for the operation theatre. Generally for environmental control of operation theatre air conditioning system is installed. In operation theatre environmental parameters like humidity, temperature, oxygen and particles etc. have to be controlled precisely. All the environmental parameters are of nonlinear nature hence, difficult to control or model with the help of conventional control systems. Keeping in mind the complexity and nonlinearity of these parameters as fuzzy logic controller (FLC) for controlling all the environment of operation theatre has been designed. For this fuzzy logic control system temperature, micro particles, humidity & oxygen have been taken as input parameters and based on these parameters speed of AC motor as well as the speed of exhaust motor are controlled. The control system is implemented with the help of different fuzzy rules and their membership functions derived from actual conditions. The performance of the system for control of operation theatre was studied and it has been observed that the result obtained with the fuzzy logic control system provides more effective and economical control. The fuzzy logic control system has been implemented using fuzzy Tech development tool.

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Menyhárt, József, and Ferenc Kalmár. "Investigation of Thermal Comfort Responses with Fuzzy Logic." Energies 12, no. 9 (May 11, 2019): 1792. http://dx.doi.org/10.3390/en12091792.

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In order to reduce the energy consumption of buildings a series of new heating, ventilation and air conditioning strategies, methods, and equipment are developed. The architectural trends show that office and educational buildings have large glazed areas, so the thermal comfort is influenced both by internal and external factors and discomfort parameters may affect the overall thermal sensation of occupants. Different studies have shown that the predictive mean vote (PMV)—predictive percentage of dissatisfied (PPD) model poorly evaluates the thermal comfort in real buildings. At the University of Debrecen a new personalized ventilation system (ALTAIR) was developed. A series of measurements were carried out in order to test ALTAIR involving 40 subjects, out of which 20 female (10 young and 10 elderly) and 20 male (10 young and 10 elderly) persons. Based on the responses of subjects related to indoor environment quality, a new comfort index was determined using fuzzy logic. Taking into consideration the responses related to thermal comfort sensation and perception of odor intensity a new the fuzzy comfort index was 5.85 on a scale from 1–10.

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Oye, Tosin T., Naren Gupta, Keng Goh, and Toyosi K. Oye. "Theoretical Assessment of Sustainability Principles for Renewable Smart Air-ConditioningTheoretical Assessment of Sustainability Principles for Renewable Smart Air-Conditioning." Environmental Management and Sustainable Development 9, no. 3 (June 1, 2020): 18. http://dx.doi.org/10.5296/emsd.v9i3.16953.

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Upon an improvement in the quality of life, air-conditioning has generally been applied. Nevertheless, environmental and health issues related with the use of air-conditioning occurs more often. Therefore, this paper aims to theoretically assess the principles of sustainability to achieve sustainability for renewable smart air-conditioning. Not only with consideration to the geometry (i.e. system mechanisms and components), fuzzy logic control and proportional-integral-derivative that such studies drawn particular attention to, but with concerns to a matter which has been previously ignored. That is with consideration to the potential which the renewable-based options, advanced smart control technique and profitability measures of air-conditioning reinforces the three pillars of sustainability, and their sustainable indicators as context-specific transformations have, to not only eradicate indoor health effects, lower the levels of energy consumption and rate of carbon emissions, but to uncover the significance of and particular contribution renewables and smart control opportunities makes to the sustainability of the system. In meeting this aim and demonstrating the sustainability of the theoretical framework, this paper reveals renewable and smart control system as the fundamental key components of the air-conditioning as it promotes to reduce levels of energy consumption and lower carbon emissions, vis-à-vis establish a comfortable and healthy indoor environment as an exercise in the sustainable theoretical framework whose status as renewable smart air-conditioning not only tackle poor indoor air quality but also combat global warming and climate change.

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Jamshidi, Mo, Denis Barak, Steve Baugh, and Daniel R. O'Geary. "Operations and Control of a Reliable Non-Chlorofluorocarbon Based Air Conditioning System via Fuzzy Logic." IFAC Proceedings Volumes 25, no. 28 (October 1992): 333–36. http://dx.doi.org/10.1016/s1474-6670(17)49520-6.

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Shah, Zeeshan Ali, Hatem F. Sindi, Azhar Ul-Haq, and Mian Ashfaq Ali. "Fuzzy Logic-Based Direct Load Control Scheme for Air Conditioning Load to Reduce Energy Consumption." IEEE Access 8 (2020): 117413–27. http://dx.doi.org/10.1109/access.2020.3005054.

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Abdo-Allah, Almahdi, Tariq Iqbal, and Kevin Pope. "Modeling, Analysis, and Design of a Fuzzy Logic Controller for an AHU in the S.J. Carew Building at Memorial University." Journal of Energy 2018 (August 1, 2018): 1–11. http://dx.doi.org/10.1155/2018/4540387.

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Proper functioning of heating, ventilation, and air conditioning (HVAC) systems is important for efficient thermal management, as well as operational costs. Most of these systems use nonlinear time variances to handle disturbances, along with controllers that try to balance rise times and stability. The latest generation of fuzzy logic controllers (FLC) is algorithm-based and is used to control indoor temperatures, CO2 concentrations in air handling units (AHUs), and fan speeds. These types of controllers work through the manipulation of dampers, fans, and valves to adjust flow rates of water and air. In this paper, modulating equal percentage globe valves, fans speed, and dampers position have been modeled according to exact flow rates of hot water and air into the building, and a new approach to adapting FLC through the modification of fuzzy rules surface is presented. The novel system is a redesign of an FLC using MATLAB/Simulink, with the results showing an enhancement in thermal comfort levels.

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Zaya, Neven E., Lokman H. Hassan, and Halis Bilgil. "Mathematical Modeling for Prediction of Heating and Air-Conditioning Energies of Multistory Buildings in Duhok City." Academic Journal of Nawroz University 7, no. 4 (December 21, 2018): 153. http://dx.doi.org/10.25007/ajnu.v7n4a284.

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Present endeavor is devoted to estimate the air-conditioning and heating energies or loads of modern buildings in Duhok City, Iraq using new mathematical models. Many parameters have been considered in current modeling, namely, area of building, number of storeys and types of the common materials of the building walls. Regression analysis is performed to formulate new mathematical linear and nonlinear models for the loads. In addition, Fuzzy logic is utilized in the third model employing Sugeno's regulation. The outcomes reveal that the reasonable matching is achieved between the proposed models and mechanical engineering analytical solutions of heating and air-conditioning standards. Consequently, high correlation coefficient as more than 85% is determined between the predicted values of the models and analytical results. The linear model shows perfect matching with the analytical outputs more than the other proposed mathematical formulations.

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HONDA, Nakaji, Toshikatsu UEDA, Takahiro TSUCHIDA, and Koujiro HAGINO. "Fuzzy-Logic Model Based Estimation of Air Temperature and Wind Speed Distributions in Large-Space Air-Conditioning Using Movable Nozzles." Journal of Japan Society for Fuzzy Theory and Systems 14, no. 4 (2002): 369–83. http://dx.doi.org/10.3156/jfuzzy.14.4_369.

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Ayaz, Murat, Volkan Aygül, Ferhat Düzenli˙, and Erkutay Tasdemi˙rci˙. "Comparative Study on Control Methods for Air Conditioning of Industrial Paint Booths." Advanced Science, Engineering and Medicine 11, no. 11 (November 1, 2019): 1053–59. http://dx.doi.org/10.1166/asem.2019.2454.

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It is of great importance that each product in industrial production facilities is to be produced in the same quality and standard. Especially in the automotive industry, the painting process needs to be done under certain environmental conditions according to the paint properties used. Therefore, the temperature, humidity and air quality values of the paint booth are very important for a quality painting operation. In this study, adaptive control has been proposed to control of one-zone heating-ventilation system for the paint booths. The system has been modelled by using the Matlab/Simulink. Performance of the proposed control method has been compared with conventional control methods such as On/Off, PID, fuzzy logic in terms of accuracy, efficiency and response time. Simulation results show that the proposed adaptive control is effective in the Heating, Ventilating, and Air Conditioning (HVAC) systems temperature control applications. In addition, energy efficiency in HVAC systems has been provided with the proposed control model. Furthermore, thermal analysis of the system has been done to corroborate simulation results.

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Yan, Huaxia, Yan Pan, Zhao Li, and Shiming Deng. "Further development of a thermal comfort based fuzzy logic controller for a direct expansion air conditioning system." Applied Energy 219 (June 2018): 312–24. http://dx.doi.org/10.1016/j.apenergy.2018.03.045.

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Lygin, Konstantin, Patrick Labenda, and Tim Sadek. "Prediction of Transformation Behavior of R-Phase SMA Actuators by the Application of Fuzzy Logic." Materials Science Forum 738-739 (January 2013): 584–88. http://dx.doi.org/10.4028/www.scientific.net/msf.738-739.584.

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The rhombohedral R-phase is an intermediate phase during the transformation from cubic austenite (B2) to monoclinic martensite (B19’). Compared to the martensitic transformation (B2 → B19’), the R-phase transformation (B2 → R) in NiTi based shape memory alloys (SMA) has a lot of advantages. The main advantages of the R-phase transformation are the very small temperature hysteresis (2-5K) and the high durability (> 100.000 cycles). The main disadvantage of actuators based on R-phase transformation is the small SMA effect (approx. 0,8%). Due to the small temperature hysteresis, the R-phase actuators are usable for temperature sensitive applications in heating technology or in air conditioning. The R-phase transformation doesn’t appear in each SMA alloy and needs a special thermo-mechanical treatment to be induced. Fuzzy logic is an approach to computing, based on degrees of truth, rather than the usual true or false (1 or 0) Boolean logic. It includes 0 and 1 as extreme cases of truth but also the various states of truth. The objective of this paper is to show the applicability of the approach of fuzzy logic in the field of SMA. To gain basic knowledge about influences, different binary NiTi alloys were investigated. The parameters annealing temperature, annealing time and Ni-concentration were varied and their influence on the transformation behavior of the R-phase was noted and added to the fuzzy logic knowledge base.

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Goel, L., Qiuwei Wu, and Peng Wang. "Fuzzy logic-based direct load control of air conditioning loads considering nodal reliability characteristics in restructured power systems." Electric Power Systems Research 80, no. 1 (January 2010): 98–107. http://dx.doi.org/10.1016/j.epsr.2009.08.009.

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Dahlan, Afiq Aiman, Amirah Haziqah Zulkifli, Henry Nasution, Azhar Abdul Aziz, and Mohd Rozi Mohd Perang. "Performance Analysis for Vehicle Air Conditioning System with Direct Current Compressor in Non-Electric Vehicle Using Fuzzy Logic Controller." Applied Mechanics and Materials 819 (January 2016): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.819.226.

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Reducing fuel consumption and ensure occupants thermal comfort are two important considerations when designing a vehicle air conditioning system. By using direct current electric compressor, speed of compressor can be controlled by changing the frequency of the inverter. Fuzzy logic controller (FLC) was developed to imitate the performance of human expert operators by encoding their knowledge in the form of linguistic rules. The system is installed to a 5-door compact car with 1.2cc four-cylinder engine with data acquisition system to monitor the temperature of the cabin, coefficient of performance (COP) and fuel consumption. Temperature set-point of 22°C with original belt-driven, on/off and FLC electric direct current compressor at one hour experimental periods. The experimental results indicate that the FLC can save more fuel compared to on/off controller and belt-driven compressor.

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Bublyk, Myroslava, Agnieszka Kowalska-Styczeń, Vasyl Lytvyn, and Victoria Vysotska. "The Ukrainian Economy Transformation into the Circular Based on Fuzzy-Logic Cluster Analysis." Energies 14, no. 18 (September 18, 2021): 5951. http://dx.doi.org/10.3390/en14185951.

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In the era of limited resources and progressive environmental degradation, the circular economy is a practical application of sustainable development. It is an alternative, but also competitive way to achieve economic growth in accordance with the principles of sustainable development. This issue was considered in this paper in the context of the Ukrainian economy. The Ukrainian economy’s transformation into a circular one needs to find ways to choose practical tools for such a transition, considering the destructive impact of economic activities on the environment, population, and economy. The goal was to develop a method of choosing tools for the circular transformations of economic activities for each cluster and to reduce man-made damage to the environment. Cluster analysis, fuzzy C-means method, and grouping of economic activities were used. Two analyzed sectors turned out to be the most interesting: mining and quarrying, and electricity, gas, steam, and air conditioning supply, which were finally assigned to the cluster with a high level of destructive impact, defined as ‘environmentally unfriendly’. The proposed method allows the choice of circular transformation tools for economic activities depending on the destructive impact of these economic activities within each cluster.

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Baniyounes, Ali M., Yazeed Yasin Ghadi, Maryam Mahmoud Akho Zahia, Eyad Adwan, and Kalid Oliemat. "Energy, economic and environmental analysis of fuzzy logic controllers used in smart buildings." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (June 1, 2021): 1283. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1283-1292.

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This article is divided into three parts: the first presents a simulation study of the effect of occupancy level on energy usage pattern of Engineering building of Applied Science Private university, Amman, Jordan. The simulation was created on simulation mechanism by means of EnergyPlus software and improved by using the building’s data such as building’s as built plan, occupant’s density level based on data about who utilize the building throughout operational hours, energy usage level, Heating Ventilating and air conditioning (HVAC) system, lighting and its control systems and etc. Data regarding occupancy density level estimation is used to provide the proposed controller with random number of users grounded on report were arranged by the university’s facilities operational team. The other division of this paper shows the estimated saved energy by the means of suggested advanced add-on, FUZZY-PID controlling system. The energy savings were divided into summer savings and winter savings. The third division presents economic and environmental analysis of the proposed advanced fuzzy logic controllers of smart buildings in Subtropical Jordan. The economic parameters that were used to evaluate the system economy performance are life-cycle analysis, present worth factor and system payback period. The system economic analysis was done using MATLAB software

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Yan, Huaxia, Yudong Xia, Xiangguo Xu, and Shiming Deng. "Inherent operational characteristics aided fuzzy logic controller for a variable speed direct expansion air conditioning system for simultaneous indoor air temperature and humidity control." Energy and Buildings 158 (January 2018): 558–68. http://dx.doi.org/10.1016/j.enbuild.2017.10.013.

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Gacto, María José, Rafael Alcalá, and Francisco Herrera. "A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems." Applied Intelligence 36, no. 2 (November 16, 2010): 330–47. http://dx.doi.org/10.1007/s10489-010-0264-x.

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Chen, Hsiang Chieh, and Chung Hsien Lu. "Adaptive Temperature Set Point of Air Handling Units Using Fuzzy Logics." Applied Mechanics and Materials 284-287 (January 2013): 2361–66. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2361.

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Control technology is necessary for air handling units to maintain suitable conditions in buildings that trend to have low energy consumption and operation cost. This study proposes an adaptive scheme of determining temperature set point that is feasible for many existing control methods, such as return- and supply-air temperature feedback control, of air handling units. The implementation procedure and concrete contribution are described below. A wireless sensor network with Zigbee communication protocol is first established. The environmental dry-bulb temperature and humidity are sensed using end nodes while routers and coordinators pass on and collect data. A heat index, called apparent temperature, is then introduced to indicate the human sensation of thermal comfort. By simultaneously considering the environmental and targeted apparent temperature, an adaptive temperature set point of each air handling unit is derived using fuzzy logics. Next, the proposed scheme is employed to an air conditioning system, in which the PID control method is used in determining the quantity of chilled water entering the cooling coil. Experimental results demonstrate the achievement of stable variation of apparent temperature ranging in a thermal comfort region for occupants. Furthermore, the power consumption of chillers is reduced since the quantity of chilled water used in heat transfer is decreased.

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Çakır, Mustafa, Akhan Akbulut, and Yusuf Hatay Önen. "Analysis of the use of computational intelligence techniques for air-conditioning systems: A systematic mapping study." Measurement and Control 52, no. 7-8 (June 28, 2019): 1084–94. http://dx.doi.org/10.1177/0020294019858108.

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In our systematic mapping study, we examined 289 published works to determine which intelligent computing methods (e.g. Artificial Neural Networks, Machine Learning, and Fuzzy Logic) used by air-conditioning systems can provide energy savings and improve thermal comfort. Our goal was to identify which methods have been used most in research on the topic, which methods of data collection have been employed, and which areas of research have been empirical in nature. We observed the rules for literature reviews in identifying published works on databases (e.g. the Institute of Electrical and Electronics Engineers database, the Association for Computing Machinery Digital Library, SpringerLink, ScienceDirect, and Wiley Online Library) and classified identified works by topic. After excluding works according to the predefined criteria, we reviewed selected works according to the research parameters motivating our study. Results reveal that energy savings is the most frequently examined topic and that intelligent computing methods can be used to provide better indoor environments for occupants, with energy savings of up to 50%. The most common intelligent method used has been artificial neural networks, while sensors have been the tools most used to collect data, followed by searches of databases of experiments, simulations, and surveys accessed to validate the accuracy of findings.

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Li, Zhao, Xiangguo Xu, Shiming Deng, and Dongmei Pan. "A novel neural network aided fuzzy logic controller for a variable speed (VS) direct expansion (DX) air conditioning (A/C) system." Applied Thermal Engineering 78 (March 2015): 9–23. http://dx.doi.org/10.1016/j.applthermaleng.2014.12.030.

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Parvin, Khadija, Ali Q. Al-Shetwi, M. A. Hannan, and Ker Pin Jern. "Modelling of Home Appliances Using Fuzzy Controller in Achieving Energy Consumption and Cost Reduction." Elektronika ir Elektrotechnika 27, no. 3 (June 28, 2021): 15–25. http://dx.doi.org/10.5755/j02.eie.27000.

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While home energy prices keep rising, homeowners nowadays are searching for the right options to reduce their electricity bills. Besides, the increase in power consumption can contribute to environmental pollution. Therefore, the proper management of energy in the domestic sector is a vital element for creating a sustainable environment and cost reduction. In this study, the most domestic household appliances consumption of energy are modelled and analysed using the fuzzy logic controller (FLC) in order to permit the home energy management system (HEMS) to perform energy utilization estimation and cost analysis. These appliances are the heating ventilation and air conditioning (HVAC), electric water heater (EWH), and lighting, respectively. The developed system can help to analyse the appliances’ energy consumption and cost sceneries during peak and off-peak hours. The modelling of a fuzzy-based domestic appliances controller for HEMS takes the peak and non-peak tariff of Malaysian grid into consideration. The simulation results demonstrate that the developed models are able to manage energy consumption and cost reduction efficiently. By using the proposed FLC, the cost of energy is reduced by 21.75 %, 30.77 %, and 41.96 % for the HVAC, EWH, and dimmable lamps, respectively. In sum, the FLC shows good performance to reduce the cost and power consumption toward efficient HEMS.

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Barfeh, Davood Pour Yousefian, Russel Lloyd D. Olarte, Jeanno M. Pascua, Paul Joseph Q. Villanueva, and Rionel Belen Caldo. "Improvement of Manufacturing Layout in Cutting to Cushion Insertion Area at Automotive Air-Conditioning Technology Phil. Inc. Using Line Balancing with Fuzzy Logic Assessment." Advanced Science Letters 22, no. 7 (July 1, 2016): 1779–82. http://dx.doi.org/10.1166/asl.2016.7030.

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Zhong, Ziwen, Xiangguo Xu, Xiaobo Zhang, and Zhiyuan Huang. "Simulation Based Control Performance Evaluation of a Novel Fuzzy Logic Control Algorithm for Simultaneously Controlling Indoor Air Temperature and Humidity Using a Direct Expansion (DX) Air-conditioning (A/C) System." Procedia Engineering 205 (2017): 1792–99. http://dx.doi.org/10.1016/j.proeng.2017.10.040.

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Li, Mingfu, Guan-Yi Li, Hou-Ren Chen, and Cheng-Wei Jiang. "QoE-Aware Smart Home Energy Management Considering Renewables and Electric Vehicles." Energies 11, no. 9 (September 1, 2018): 2304. http://dx.doi.org/10.3390/en11092304.

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To reduce the peak load and electricity bill while preserving the user comfort, a quality of experience (QoE)-aware smart appliance control algorithm for the smart home energy management system (sHEMS) with renewable energy sources (RES) and electric vehicles (EV) was proposed. The proposed algorithm decreases the peak load and electricity bill by deferring starting times of delay-tolerant appliances from peak to off-peak hours, controlling the temperature setting of heating, ventilation, and air conditioning (HVAC), and properly scheduling the discharging and charging periods of an EV. In this paper, the user comfort is evaluated by means of QoE functions. To preserve the user’s QoE, the delay of the starting time of a home appliance and the temperature setting of HVAC are constrained by a QoE threshold. Additionally, to solve the trade-off problem between the peak load/electricity bill reduction and user’s QoE, a fuzzy logic controller for dynamically adjusting the QoE threshold to optimize the user’s QoE was also designed. Simulation results demonstrate that the proposed smart appliance control algorithm with a fuzzy-controlled QoE threshold significantly reduces the peak load and electricity bill while optimally preserving the user’s QoE. Compared with the baseline case, the proposed scheme reduces the electricity bill by 65% under the scenario with RES and EV. Additionally, compared with the method of optimal scheduling of appliances in the literature, the proposed scheme achieves much better peak load reduction performance and user’s QoE.

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Ain, Qurat-ul, Sohail Iqbal, Safdar Khan, Asad Malik, Iftikhar Ahmad, and Nadeem Javaid. "IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings." Sensors 18, no. 9 (August 25, 2018): 2802. http://dx.doi.org/10.3390/s18092802.

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Energy consumption in the residential sector is 25% of all the sectors. The advent of smart appliances and intelligent sensors have increased the realization of home energy management systems. Acquiring balance between energy consumption and user comfort is in the spotlight when the performance of the smart home is evaluated. Appliances of heating, ventilation and air conditioning constitute up to 64% of energy consumption in residential buildings. A number of research works have shown that fuzzy logic system integrated with other techniques is used with the main objective of energy consumption minimization. However, user comfort is often sacrificed in these techniques. In this paper, we have proposed a Fuzzy Inference System (FIS) that uses humidity as an additional input parameter in order to maintain the thermostat set-points according to user comfort. Additionally, we have used indoor room temperature variation as a feedback to proposed FIS in order to get the better energy consumption. As the number of rules increase, the task of defining them in FIS becomes time consuming and eventually increases the chance of manual errors. We have also proposed the automatic rule base generation using the combinatorial method. The proposed techniques are evaluated using Mamdani FIS and Sugeno FIS. The proposed method provides a flexible and energy efficient decision-making system that maintains the user thermal comfort with the help of intelligent sensors. The proposed FIS system requires less memory and low processing power along with the use of sensors, making it possible to be used in the IoT operating system e.g., RIOT. Simulation results validate that the proposed technique reduces energy consumption by 28%.

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Soetedjo, Aryuanto, Yusuf Ismail Nakhoda, and Choirul Saleh. "An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System." Energies 12, no. 19 (September 25, 2019): 3655. http://dx.doi.org/10.3390/en12193655.

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This paper presents a hardware testbed for testing the building energy management system (BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user comfort while minimizing the energy extracted from the grid. The proposed system implements a multi-objective optimization technique using a genetic algorithm (GA) and the fuzzy logic controller (FLC) to control the room temperature and illumination setpoints. The agents are implemented on the low cost embedded systems equipped with the WiFi communication for communicating between the agents. The photovoltaic (PV)-battery system, the air conditioning system, the lighting system, and the electrical loads are modeled and simulated on the embedded hardware. The popular communication protocols such as Message Queuing Telemetry Transport (MQTT) and Modbus TCP/IP are adopted for integrating the proposed MAS with the existing infrastructures and devices. The experimental results show that the sampling time of the proposed system is 16.50 s. Therefore it is suitable for implementing the BEMS in a real-time where the data are updated in an hourly or minutely basis. Further, the proposed optimization technique shows better results in optimizing the comfort index and the energy extracted from the grid compared to the existing methods.

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Varghese, SG, CP Kurian, VI George, M. Varghese, and TM Sanjeev Kumar. "Climate model based test workbench for daylight-artificial light integration." Lighting Research & Technology 51, no. 5 (August 10, 2018): 774–87. http://dx.doi.org/10.1177/1477153518792586.

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Energy efficiency strategies based on daylight-artificial light integration have grown exponentially in recent years. Taking into account the dynamics to be considered for control and the dependence on natural and occupancy factors, it is better to use a test workbench prior to setting up the final control scheme. This work describes a climate model based test workbench for the real time testing of the control of luminaires and window blinds in a daylight-artificial light integrated scheme. The established climate model based control scheme suitable for the optimum integration of visual comfort, thermal comfort, and energy consumption can be tested for any ecological conditions. The input irradiance from a BF5 sensor, the internal temperature from a Micro DAQ logger, the occupancy and photo sensors associated with the luminaire all provide input data for the test workbench. A fuzzy logic based motorized window blind controller and look-up table based dimming of LED luminaires are used to set the required illuminance with reduced load on the heating, ventilation, and air conditioning system. The anticipated synergetic effects of the test workbench have been validated using real time climate data. The test work bench is established on a Labview platform and developed as a standalone system using myRIO.

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Li, Zhao, Xiangguo Xu, Shiming Deng, and Dongmei Pan. "A novel proportional-derivative (PD) law based fuzzy logic principles assisted controller for simultaneously controlling indoor temperature and humidity using a direct expansion (DX) air conditioning (A/C) system." International Journal of Refrigeration 57 (September 2015): 239–56. http://dx.doi.org/10.1016/j.ijrefrig.2015.05.011.

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Huang, Hao-Cheng, and Yeng-Horng Perng. "Multi-Criteria Decision Support System for Green Commercial Space Design." Open House International 43, no. 4 (December 1, 2018): 5–15. http://dx.doi.org/10.1108/ohi-04-2018-b0002.

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Commercial space features essential characteristics of attracting clients and creating profits; thus, the exterior and interior designs of conventional commercial space were often made to look grandiose and overdecorated. Over time, according to commercial attributes, operator preferences, and style of the designer, commercial spaces have constantly undergone renovation into varied styles. However, the physical renovation processhas caused multiple and composite types of environmental pollution, such as waste and noise pollution caused by breaking of walls or partitions, anddecorative paint pollution, as well as the use of high-energy-consuming lighting equipment, air-conditioning systems, and decorative materials. Global pollution has caused climate change, endangering living organismsand human life. Furthermore, no effective method exists to control the problem of high greenhouse gas emissions. Therefore, this study used energy-saving design concerns of a garden-type commercial space to propose an energy-saving evaluation model. The study combined three methodologies, the Delphi method, analytic hierarchy process, and fuzzy logic theory, to construct a multi-criteria decision support system for designing green commercial spaces, and used the green spatial design of a garden café as an example to illustrate the high objectivity and adaptability of the proposed model in practical application. The study also used an international award-winning case to validate that the proposed model had practical value as a reference to support key design decisions.

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Journal articles on the topic 'Fuzzy logic : Air conditioning'

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