The Experts below are selected from a list of 36 Experts worldwide ranked by ideXlab platform
Timothy I. Salsbury - One of the best experts on this subject based on the ideXlab platform.
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Experimental evaluation of anti-windup extremum seeking control for airside economizers
Control Engineering Practice, 2016Co-Authors: John M. House, Timothy I. SalsburyAbstract:Abstract The performance of anti-windup extremum seeking control (ESC) as a model free online optimization strategy is evaluated by experimental studies for energy efficient operation of both Chilled-Water and direct-expansion airside economizers. For the Chilled-Water based system, the ESC takes the Chilled-Water Valve control signal as the feedback, and controls the outdoor air damper (OAD) position to minimize the cooling coil load. For the direct-expansion system, the ESC takes the total electricity power consumption as the feedback, and controls the OAD position to minimize the power consumption. Experimental results verify the effectiveness of the ESC scheme for model-free operation without temperature and humidity measurements.
Jinlei Chi - One of the best experts on this subject based on the ideXlab platform.
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fault detection and diagnosis for buildings and hvac systems using combined neural networks and subtractive clustering analysis
Building and Environment, 2014Co-Authors: Bo Fan, Xinqiao Jin, Jinlei ChiAbstract:Abstract Various faults occurred in the buildings and heating, ventilation and air conditioning (HVAC) systems usually lead to more energy consumption and worse thermal comfort inevitably. The soft faults such as the sensor biases are difficult to discover in the real buildings. A robust diagnostics tool is presented to improve the energy efficiency and thermal comfort of buildings through removing various faults. The combined neural networks, integrating the basic neural network and auxiliary neural network, are developed to detect the abnormities in the air handling unit that is the widely used in commercial buildings. As a data mining technology, clustering analysis is used to classify the various faulty conditions adaptively in the buildings in this paper. Through subtractive clustering analysis, the different faults can be separated into different space zones in the data space. Besides the known faults in the library, the new unknown faults can be recognized and complemented into the faults library adaptively. The fixed biases, drifting biases and complete failure of the sensors and Chilled Water Valve faults commonly occurred in the buildings are validated in this paper.
John M. House - One of the best experts on this subject based on the ideXlab platform.
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Experimental evaluation of anti-windup extremum seeking control for airside economizers
Control Engineering Practice, 2016Co-Authors: John M. House, Timothy I. SalsburyAbstract:Abstract The performance of anti-windup extremum seeking control (ESC) as a model free online optimization strategy is evaluated by experimental studies for energy efficient operation of both Chilled-Water and direct-expansion airside economizers. For the Chilled-Water based system, the ESC takes the Chilled-Water Valve control signal as the feedback, and controls the outdoor air damper (OAD) position to minimize the cooling coil load. For the direct-expansion system, the ESC takes the total electricity power consumption as the feedback, and controls the OAD position to minimize the power consumption. Experimental results verify the effectiveness of the ESC scheme for model-free operation without temperature and humidity measurements.
House, John M. - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of an Extremum Seeking Control Based Optimization and Sequencing Strategy for a Chilled-Water Plant
'Purdue University (bepress)', 2016Co-Authors: Zhao Zhongfan, Li Yaoyu, Mu Baojie, Salsbury Timothy, House, John M.Abstract:Chilled-Water plants with multiple chillers account for a significant fraction of energy use in large commercial buildings. Real-time optimization and sequencing of such plants is thus critical for building energy efficiency. Due to the cost and complexity associated with calibrating a chiller plant model to field operation, model-free control has become an attractive solution. Recently, Mu et al. (2015) proposed a model-free real-time optimization and sequencing strategy based on extremum seeking control (ESC) for Chilled-Water plants with multiple parallel chillers. In this ESC scheme, the variable to be optimized is the total power from the chiller compressors, cooling tower fans, condenser and evaporator loop Water pumps, while the manipulated inputs include the tower fan airflow, condenser Water flows and evaporator leaving Chilled-Water temperature setpoint. Two schemes are proposed for chiller sequencing: A) A chiller is turned on based on the measurement of Chilled Water Valve position and is turned off when a chiller compressor is running at its nominal minimum speed. B) A chiller is turned on and off based on the measurement of operating cooling load. For Scheme A, Mu (2015) performed a comprehensive case study, and the simulation results demonstrated that the proposed framework performed well under various ambient, load and equipment conditions. However, for Scheme B, only one case was simulated. Although the two chiller sequencing schemes have a shared physical process in terms of chiller plant operation, it is necessary to evaluate the load-based Scheme B in terms of energy efficiency performance. This paper aims to provide a comprehensive evaluation for the Scheme B-based optimization and sequencing strategy for a multi-chiller Chilled-Water plant. Three ambient conditions are considered: i) 27 °C and 60%RH (Mild), ii) 37°C and 30%RH (Dry Hot), and iii) 37 °C and 80%RH (Humid Hot). For each of these ambient conditions, simulations are performed for the scenarios listed below, Scenario #3 is simulated with dynamic ambient and load profiles. Scenario #1. Two-chiller ESC with no sequencing under fixed ambient conditions Scenario #2. Chiller sequencing under variable load and fixed ambient conditions Scenario #3. Chiller sequencing with realistic ambient and load profile Scenario #4. Penalty Function based ESC Chiller Sequencing Scenario #5. ESC for Efficiency Recovery: Chiller A properly charged and Chiller B with a low refrigerant charge Scenario #6. ESC for Efficiency Recovery: Chiller A with nominal operation and Chiller B with heat exchanger fouling References B. Mu, Y. Li, T.I. Salsbury, J.M. House, Extremum Seeking Based Control Strategy for a Chilled-Water Plant with Parallel Chillers, ASME Dynamic Systems and Control Conference, Columbus, OH, paper no. 9949, 10 pages, 2015 B. Mu, Self-optimizing Control for Building Ventilation and Air Conditioning Systems,Ph.D.Dissertation, Department of Electrical Engineering, University of Texas at Dallas, December 2015
Bo Fan - One of the best experts on this subject based on the ideXlab platform.
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fault detection and diagnosis for buildings and hvac systems using combined neural networks and subtractive clustering analysis
Building and Environment, 2014Co-Authors: Bo Fan, Xinqiao Jin, Jinlei ChiAbstract:Abstract Various faults occurred in the buildings and heating, ventilation and air conditioning (HVAC) systems usually lead to more energy consumption and worse thermal comfort inevitably. The soft faults such as the sensor biases are difficult to discover in the real buildings. A robust diagnostics tool is presented to improve the energy efficiency and thermal comfort of buildings through removing various faults. The combined neural networks, integrating the basic neural network and auxiliary neural network, are developed to detect the abnormities in the air handling unit that is the widely used in commercial buildings. As a data mining technology, clustering analysis is used to classify the various faulty conditions adaptively in the buildings in this paper. Through subtractive clustering analysis, the different faults can be separated into different space zones in the data space. Besides the known faults in the library, the new unknown faults can be recognized and complemented into the faults library adaptively. The fixed biases, drifting biases and complete failure of the sensors and Chilled Water Valve faults commonly occurred in the buildings are validated in this paper.