2017
DOI: 10.1109/access.2017.2726017
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Supervisory Control for Resilient Chiller Plants Under Condenser Fouling

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Cited by 13 publications
(5 citation statements)
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References 36 publications
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“…Specifically, very few papers have focused on resilient control to bring the system back to normalcy by graceful degradation of performance in the presence of moderate faults. [29][30][31][32] For a CNC machine with a degraded tool, this could be achieved by relaxing the control parameters to reduce the cutting forces, and hence increase precision, reduce surface roughness [8,6,7] and increase the tool longevity. [9] Furthermore, attempts to optimize the controls (e.g., surface roughness and energy) seldom consider other variables (e.g., delay).…”
Section: Related Workmentioning
confidence: 99%
“…Specifically, very few papers have focused on resilient control to bring the system back to normalcy by graceful degradation of performance in the presence of moderate faults. [29][30][31][32] For a CNC machine with a degraded tool, this could be achieved by relaxing the control parameters to reduce the cutting forces, and hence increase precision, reduce surface roughness [8,6,7] and increase the tool longevity. [9] Furthermore, attempts to optimize the controls (e.g., surface roughness and energy) seldom consider other variables (e.g., delay).…”
Section: Related Workmentioning
confidence: 99%
“…The study also shows placing a temperature sensor for the VAV control loop at the return air inlet is not always the optimal solution. During the cooling season, the required airflow increases when the sensor is placed at the return air duct [24] since the temperature in the return duct is usually higher than the zone temperature, which can lead to overcooling.…”
Section: Impact and Benefit Of Thermostatmentioning
confidence: 99%
“…Lee and Yik [173] Sensor fault Energy cost impacts of sensor faults 19 Guo et al [174] Feature selection from available sensors Hybrid feature selection, VRF 20 Guo et al [175] Sensor fault, sensor data analysis/mining Senor fault detection, VRF 21 Shi et al [176] Sensor data analysis/mining VRF 22 Li et al [177] Virtual sensor Virtual sensor-based fault indicators for a VRF 23 Verhelst et al [178] Sensor fault Economic impact of persistent sensor and actuator faults 24 Yoon and Yu [179] Sensor calibration Virtual in-situ sensor calibration 25 Shi et al [180] Feature selection from available sensors VRF 26 Yu et al [181] Sensor calibration Indirect virtual calibration method for a supply air temperature in an RTU 27 Kim [182] Virtual sensor Review of virtual sensor, evaluation of sensors, development and assessment of alternative virtual sensors in an RTU 28 Katipamula et al [183] Additional senor, sensor layout/location, sensor fault…”
Section: No Authors Ref Sensor Topics Abstract 18mentioning
confidence: 99%
“…Placing a temperature sensor for the VAV control loop at the return air inlet is not always the optimal solution [35]. During the cooling season, the required airflow increases when the sensor is placed at the return air duct [54] since the temperature in the return duct is usually higher than the zone temperature, which can lead to overcooling. The required supply airflow rate depends on how close the temperature sensor [35] is to the supply air diffuser versus the occupant and internal heat gain sources.…”
Section: Sensor Impact On Building Controlsmentioning
confidence: 99%