The Experts below are selected from a list of 2019 Experts worldwide ranked by ideXlab platform
Yuwei Huang - One of the best experts on this subject based on the ideXlab platform.
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thermal comfort control on multi room Fan Coil unit system using lee based fuzzy logic
Energy Conversion and Management, 2005Co-Authors: C M Chu, T L Jong, Yuwei HuangAbstract:Saving consumable energy and maintaining the thermal comfort level are two main topics in the heating, ventilating and air conditioning (HVAC) control field. The reliability of the controller is important as well. This paper proposes a least enthalpy estimator (LEE) that combines the definition of thermal comfort level and the theory of enthalpy into a load predicting way to provide timely suitable settings for a Fan Coil unit (FCU) fuzzy controller used in HVAC. According to the settings, including temperature and relative humidity, the fuzzy controller can make decisions and adjust the output of the FCU system. From actual experiments, the LEE-based FCU fuzzy controller can achieve the requirements of the FCU control system such as thermal comfort, energy efficiency and reliability.
C M Chu - One of the best experts on this subject based on the ideXlab platform.
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thermal comfort control on multi room Fan Coil unit system using lee based fuzzy logic
Energy Conversion and Management, 2005Co-Authors: C M Chu, T L Jong, Yuwei HuangAbstract:Saving consumable energy and maintaining the thermal comfort level are two main topics in the heating, ventilating and air conditioning (HVAC) control field. The reliability of the controller is important as well. This paper proposes a least enthalpy estimator (LEE) that combines the definition of thermal comfort level and the theory of enthalpy into a load predicting way to provide timely suitable settings for a Fan Coil unit (FCU) fuzzy controller used in HVAC. According to the settings, including temperature and relative humidity, the fuzzy controller can make decisions and adjust the output of the FCU system. From actual experiments, the LEE-based FCU fuzzy controller can achieve the requirements of the FCU control system such as thermal comfort, energy efficiency and reliability.
Zhao Tianyi - One of the best experts on this subject based on the ideXlab platform.
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Application study on a duty ratio fuzzy control method for Fan Coil units in the building in Chengdu, China
Procedia Engineering, 2017Co-Authors: Chen Tingting, Zhang Jili, Zhao TianyiAbstract:Abstract This paper presents a novel energy efficiency control method for a Fan Coil unit, the duty ratio fuzzy control method (DRFCM), which employs the concept of duty ratio on the electric valve control to fully utilize the cooling and dehumidifying capacity of a Fan Coil unit when the control valve is closed. This paper adopts a FCUs system with a three Fan speed controls and an electric water valve on/off control in Chengdu, China. The application results show that DRFCM could obtain at least 10.3% energy savings over the conventional control method.
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Experimental study on a duty ratio fuzzy control method for Fan-Coil units
Building and Environment, 2011Co-Authors: Zhao Tianyi, Zhang Jili, Sun De-xingAbstract:This paper presents a novel energy-efficiency control method for a Fan-Coil unit, the duty ratio fuzzy control method (DRFCM), which employs the concept of duty ratio on the electric valve control to fully utilize the cooling and dehumidifying capacity of a Fan-Coil unit when the control valve is closed. By means of mamdani-type fuzzy rules and functioning-fuzzy-subset inference methods, the duty ratio of valve and Fan speed signals are decided according to the deviation and deviation changes of the room temperature. This paper adopts a two-water-pipe FCU system with a three-Fan speed control and an electric water valve on-off control as test objects to verify the application effect of DRFCM. Program controllers and software tools are employed to conduct DRFCM. The conventional control method is applied by individual FCU controllers. Experimental results show that DRFCM could obtain at least 30% energy savings (not including chilled pump power savings) over the conventional control method. A preferable room temperature control effect could be achieved as well.
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A novel Fan-Coil unit control method and its experimental application
2010 International Conference on Mechanic Automation and Control Engineering, 2010Co-Authors: Zhao Tianyi, Zhang Jili, Sun De-xingAbstract:Introduces a novel type of optimal control method for Fan-Coil unit named DRFCM, which adopts conception of duty ratio on water valve control. DRFCM uses Mamdani type fuzzy rule and method of functioning-fuzzy-subset inference to control duty ratio of valve and Fan speed level. It is shown from experimental application that DRFCM could achieve at least 30% energy saving than conventional Fan-Coil unit control method and could achieve better room temperature control effect.
Zhang Jili - One of the best experts on this subject based on the ideXlab platform.
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Application study on a duty ratio fuzzy control method for Fan Coil units in the building in Chengdu, China
Procedia Engineering, 2017Co-Authors: Chen Tingting, Zhang Jili, Zhao TianyiAbstract:Abstract This paper presents a novel energy efficiency control method for a Fan Coil unit, the duty ratio fuzzy control method (DRFCM), which employs the concept of duty ratio on the electric valve control to fully utilize the cooling and dehumidifying capacity of a Fan Coil unit when the control valve is closed. This paper adopts a FCUs system with a three Fan speed controls and an electric water valve on/off control in Chengdu, China. The application results show that DRFCM could obtain at least 10.3% energy savings over the conventional control method.
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Experimental study on a duty ratio fuzzy control method for Fan-Coil units
Building and Environment, 2011Co-Authors: Zhao Tianyi, Zhang Jili, Sun De-xingAbstract:This paper presents a novel energy-efficiency control method for a Fan-Coil unit, the duty ratio fuzzy control method (DRFCM), which employs the concept of duty ratio on the electric valve control to fully utilize the cooling and dehumidifying capacity of a Fan-Coil unit when the control valve is closed. By means of mamdani-type fuzzy rules and functioning-fuzzy-subset inference methods, the duty ratio of valve and Fan speed signals are decided according to the deviation and deviation changes of the room temperature. This paper adopts a two-water-pipe FCU system with a three-Fan speed control and an electric water valve on-off control as test objects to verify the application effect of DRFCM. Program controllers and software tools are employed to conduct DRFCM. The conventional control method is applied by individual FCU controllers. Experimental results show that DRFCM could obtain at least 30% energy savings (not including chilled pump power savings) over the conventional control method. A preferable room temperature control effect could be achieved as well.
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A novel Fan-Coil unit control method and its experimental application
2010 International Conference on Mechanic Automation and Control Engineering, 2010Co-Authors: Zhao Tianyi, Zhang Jili, Sun De-xingAbstract:Introduces a novel type of optimal control method for Fan-Coil unit named DRFCM, which adopts conception of duty ratio on water valve control. DRFCM uses Mamdani type fuzzy rule and method of functioning-fuzzy-subset inference to control duty ratio of valve and Fan speed level. It is shown from experimental application that DRFCM could achieve at least 30% energy saving than conventional Fan-Coil unit control method and could achieve better room temperature control effect.
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experimental analysis on duty ratio fuzzy control for Fan Coil unit
Journal of Civil Architectural & Environmental Engineering, 2010Co-Authors: Zhang JiliAbstract:A new type of energy efficiency control method for Fan-Coil unit is presented.By introducing the conception of duty ratio into electric valve control,the cooling and dehumidifying capacity of Fan-Coil unit is fully utilized.By means of Mamdani type fuzzy rule and the Method of Functioning-fuzzy-subset Inference,duty ratio of valve and Fan speed signal are identified according to deviation and deviation change of room temperature.It is shown that presented method could achieve at least 30% energy saving than traditional control method as well as a preferable room temperature control effect.
Dominic T J Osulliva - One of the best experts on this subject based on the ideXlab platform.
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a computationally efficient method for fault diagnosis of Fan Coil unit terminals in building heating ventilation and air conditioning systems
Journal of building engineering, 2020Co-Authors: Akshay Ranade, Gregory Prova, Alie Eldi Mady, Dominic T J OsullivaAbstract:Abstract Fan-Coil units are widely used as terminal units in Heating, Ventilation and Air-Conditioning (HVAC) systems in buildings. Fault Detection and Diagnosis of HVAC systems has been an active area of research for several decades. However, the focus has mostly been on central units such as Air Handling Units, Chillers and Boilers, and Variable Air Volume (VAV) terminal units. In this work we propose a diagnosis scheme for Fan-Coil units based on a grey-box model based approach. The main contribution of this work is a systematic sub-system level diagnosis case study of the Fan Coil Unit. A systematic procedure to obtain a simplified model of a heat exchanger Coil based on polynomial regression is described. The model is used to generate residuals. The results show that the residuals from this model facilitate accurate fault isolation by means of simple rules. The model is characterised by a small set of parameters and is computationally light-weight, thereby making it suitable for embedded diagnosis. For the control problem, the zone thermostat is sufficient. However, for facilitating diagnosis, additional sensors are required. We also examine the role played by different sensors in the fault detection and isolation.
