With the development of the technology of the Internet of Things,more and more operational data can be collected from air conditioning systems.Unfortunately,the most of existing air conditioning controllers mainly pro...With the development of the technology of the Internet of Things,more and more operational data can be collected from air conditioning systems.Unfortunately,the most of existing air conditioning controllers mainly provide controlling functions more than storing,processing or computing the measured data.This study develops an online fault detection configuration on the equipment side of air conditioning systems to realize these functions.Modbus communication is served to collect real-time operational data.The calculating programs are embedded to identify whether the measured signals exceed their limits or not,and to detect if sensor reading is frozen and other faults in relation to the operational performance are generated or not.The online fault detection configuration is tested on an actual variable-air-volume(VAV)air handling unit(AHU).The results show that the time ratio of fault detection exceeds 95.00%,which means that the configuration exhibits an acceptable fault detection effect.展开更多
A novel fault diagnosis method for sensors in air handling unit(AHU)using wavelet energy entropy was presented.Instead of directly comparing the numerous data under noise conditions,the wavelet energy entropy residual...A novel fault diagnosis method for sensors in air handling unit(AHU)using wavelet energy entropy was presented.Instead of directly comparing the numerous data under noise conditions,the wavelet energy entropy residual was compared in the proposed method.Three-level wavelet analysis was used to decompose the measurement data under both fault-free and faulty operation conditions.The concept of Shannon entropy was referred to define wavelet energy entropy of the wavelet coefficients.The sensor faults were diagnosed by comparing the deviation of the wavelet energy entropy of the measured signal and the estimated one with the preset threshold.Testing results showed that the wavelet energy entropy was sensitive to diagnose the biased faults.The wavelet energy entropy residuals exceed the threshold significantly when faults occur.In addition,the severer the faults were,the larger the residuals would be.The results prove that the proposed method is feasible and effective for the fault detection and diagnosis of the sensors.展开更多
Recycling the condensate water of the air conditioner could be explored as an alternative water source to con-tribute to building the green campus.This paper explored the condensate water production through actual mea...Recycling the condensate water of the air conditioner could be explored as an alternative water source to con-tribute to building the green campus.This paper explored the condensate water production through actual mea-surement based on a split air handling unit(SAHU)in a university building.Then,the statistical analysis was used to analyze the recycling feasibility and the impact factors of the condensate water production in 31 Chinese provincial capital cities to obtain the recycling potential map of the condensate water generated from a SAHU.Results showed that:(1)In the measurement,the amount of condensate water produced by a single split air conditioner was 1.6 kg from 12:40 to 13:40.Therefore,the daily output of condensate water of the air condi-tioner with the university operation schedule could reach 52.99 kg during the main air-conditioning season.(2)Among the 31 provincial capital cities in China,the largest condensate water outputs could be found in the Hot Summer and Warm Winter zone and the Hot Summer and Cold Winter zone,with an average monthly output of 1600 kg and 1100 kg,respectively.(3)Regression analysis showed that the dry-bulb temperature and dew point temperature of outdoor air had the highest positive and significant influence on condensate water production.The objective of this study is to provide theoretical guidance for the design and energy conservation evaluation of the feasibility of SAHU condensate water recycling in universities.展开更多
As an important component of the heating,ventilating and air conditioning(HVAC)systems,air handling units(AHUs)are responsible for regulating indoor temperature and humidity.In this paper,a multivariable nonlinear dyn...As an important component of the heating,ventilating and air conditioning(HVAC)systems,air handling units(AHUs)are responsible for regulating indoor temperature and humidity.In this paper,a multivariable nonlinear dynamic model of the AHUs with unknown strength of the humidity source is considered,and an improved backstepping controller is proposed to realize the tracking objective of the indoor temperature,relative humidity and carbon dioxide concentration.Firstly,the original system is represented in simplified state space form,and then the state transformation is introduced with a gain to overcome the difficulty caused by the unknown strength of the humidity source.Then,the improved backstepping controller is designed in a step-by-step way.Moreover,the stability of the closed-loop system is analyzed in detail.Finally,we consider the case that the AHUs work in summer of Jinan,China,as an example.The simulation results show the effectiveness of the controller.Meanwhile,the performance of the improved backstepping controller are compared with that of the decoupled sliding mode and PID controllers.展开更多
由于定风量空调机组(Constant Air Volume Air Handling Unit, CAVAHU)输出的新风量往往是固定的,当空调房间内的额定人员数量超员或不足时,会导致空调房间CO_(2)浓度测量值Cn高于室内CO_(2)浓度设定值Cn=Cn,set或新风负荷增大的状况。...由于定风量空调机组(Constant Air Volume Air Handling Unit, CAVAHU)输出的新风量往往是固定的,当空调房间内的额定人员数量超员或不足时,会导致空调房间CO_(2)浓度测量值Cn高于室内CO_(2)浓度设定值Cn=Cn,set或新风负荷增大的状况。对此提出了一种空调房间CO_(2)浓度二自由度内模分数阶PI控制策略和设计改进多目标人工蜂群算法(Improved Multi-Objective Artificial Bee Colony Algorithm, IMOABCA)对控制器参数实施整定的思路。首先,基于人工蜂群算法,分别对雇佣蜂和观察蜂引入自适应惯性权重和精英组策略,进行非线性递减和柯西变异的演变,并结合观察蜂搜索特性,将最小粒子角度引入外部档案集,获取相应的Pareto解集,设计IMOABCA,进而对控制器的3个参数进行整定,获得相应的最优值。最后,借助MATLAB工具,对该室内CO_(2)浓度的二自由度内模分数阶PI控制系统进行组态和仿真。结果表明:该室内CO_(2)浓度二自由度内模分数阶PI控制系统和IMOABCA是可行的,能够实现Cn=Cn,set的调节目的和获取控制器的3个参数最优值,提升室内CO_(2)浓度的调节品质。展开更多
基金Research Project of China Ship Development and Design Center,Wuhan,China。
文摘With the development of the technology of the Internet of Things,more and more operational data can be collected from air conditioning systems.Unfortunately,the most of existing air conditioning controllers mainly provide controlling functions more than storing,processing or computing the measured data.This study develops an online fault detection configuration on the equipment side of air conditioning systems to realize these functions.Modbus communication is served to collect real-time operational data.The calculating programs are embedded to identify whether the measured signals exceed their limits or not,and to detect if sensor reading is frozen and other faults in relation to the operational performance are generated or not.The online fault detection configuration is tested on an actual variable-air-volume(VAV)air handling unit(AHU).The results show that the time ratio of fault detection exceeds 95.00%,which means that the configuration exhibits an acceptable fault detection effect.
基金National Natural Science Foundation of China(No.31101085)
文摘A novel fault diagnosis method for sensors in air handling unit(AHU)using wavelet energy entropy was presented.Instead of directly comparing the numerous data under noise conditions,the wavelet energy entropy residual was compared in the proposed method.Three-level wavelet analysis was used to decompose the measurement data under both fault-free and faulty operation conditions.The concept of Shannon entropy was referred to define wavelet energy entropy of the wavelet coefficients.The sensor faults were diagnosed by comparing the deviation of the wavelet energy entropy of the measured signal and the estimated one with the preset threshold.Testing results showed that the wavelet energy entropy was sensitive to diagnose the biased faults.The wavelet energy entropy residuals exceed the threshold significantly when faults occur.In addition,the severer the faults were,the larger the residuals would be.The results prove that the proposed method is feasible and effective for the fault detection and diagnosis of the sensors.
基金funded by Sichuan Agriculture University,and is supported in part by the scholarship from China Scholarship Council(CSC)under the Grant CSC 202006915024.
文摘Recycling the condensate water of the air conditioner could be explored as an alternative water source to con-tribute to building the green campus.This paper explored the condensate water production through actual mea-surement based on a split air handling unit(SAHU)in a university building.Then,the statistical analysis was used to analyze the recycling feasibility and the impact factors of the condensate water production in 31 Chinese provincial capital cities to obtain the recycling potential map of the condensate water generated from a SAHU.Results showed that:(1)In the measurement,the amount of condensate water produced by a single split air conditioner was 1.6 kg from 12:40 to 13:40.Therefore,the daily output of condensate water of the air condi-tioner with the university operation schedule could reach 52.99 kg during the main air-conditioning season.(2)Among the 31 provincial capital cities in China,the largest condensate water outputs could be found in the Hot Summer and Warm Winter zone and the Hot Summer and Cold Winter zone,with an average monthly output of 1600 kg and 1100 kg,respectively.(3)Regression analysis showed that the dry-bulb temperature and dew point temperature of outdoor air had the highest positive and significant influence on condensate water production.The objective of this study is to provide theoretical guidance for the design and energy conservation evaluation of the feasibility of SAHU condensate water recycling in universities.
基金This study is partly supported by the National Natural Science Foundation of China(61903226,62076150,62173216)the Taishan Scholar Project of Shandong Province(TSQN201812092)+1 种基金the Key Research and Development Program of Shandong Province(2021CXGC011205,2019GGX101072)the Youth Innovation Technology Project of Higher School in Shandong Province(2019KJN005).
文摘As an important component of the heating,ventilating and air conditioning(HVAC)systems,air handling units(AHUs)are responsible for regulating indoor temperature and humidity.In this paper,a multivariable nonlinear dynamic model of the AHUs with unknown strength of the humidity source is considered,and an improved backstepping controller is proposed to realize the tracking objective of the indoor temperature,relative humidity and carbon dioxide concentration.Firstly,the original system is represented in simplified state space form,and then the state transformation is introduced with a gain to overcome the difficulty caused by the unknown strength of the humidity source.Then,the improved backstepping controller is designed in a step-by-step way.Moreover,the stability of the closed-loop system is analyzed in detail.Finally,we consider the case that the AHUs work in summer of Jinan,China,as an example.The simulation results show the effectiveness of the controller.Meanwhile,the performance of the improved backstepping controller are compared with that of the decoupled sliding mode and PID controllers.
文摘由于定风量空调机组(Constant Air Volume Air Handling Unit, CAVAHU)输出的新风量往往是固定的,当空调房间内的额定人员数量超员或不足时,会导致空调房间CO_(2)浓度测量值Cn高于室内CO_(2)浓度设定值Cn=Cn,set或新风负荷增大的状况。对此提出了一种空调房间CO_(2)浓度二自由度内模分数阶PI控制策略和设计改进多目标人工蜂群算法(Improved Multi-Objective Artificial Bee Colony Algorithm, IMOABCA)对控制器参数实施整定的思路。首先,基于人工蜂群算法,分别对雇佣蜂和观察蜂引入自适应惯性权重和精英组策略,进行非线性递减和柯西变异的演变,并结合观察蜂搜索特性,将最小粒子角度引入外部档案集,获取相应的Pareto解集,设计IMOABCA,进而对控制器的3个参数进行整定,获得相应的最优值。最后,借助MATLAB工具,对该室内CO_(2)浓度的二自由度内模分数阶PI控制系统进行组态和仿真。结果表明:该室内CO_(2)浓度二自由度内模分数阶PI控制系统和IMOABCA是可行的,能够实现Cn=Cn,set的调节目的和获取控制器的3个参数最优值,提升室内CO_(2)浓度的调节品质。
