A5080584548- Refrigeration and Air Conditioning Technologies
- Building Energy and Comfort Optimization
- Heat Transfer and Optimization
- Heat Transfer and Boiling Studies
- Advanced Thermodynamic Systems and Engines
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Adsorption and Cooling Systems
- Energy Efficiency and Management
- Smart Grid Energy Management
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Wind and Air Flow Studies
- Advanced Sensor Technologies Research
- Solar Thermal and Photovoltaic Systems
- Hydraulic and Pneumatic Systems
- Advanced Thermodynamics and Statistical Mechanics
- Spacecraft and Cryogenic Technologies
- Thermal Radiation and Cooling Technologies
- Structural Health Monitoring Techniques
- Urban Heat Island Mitigation
- Process Optimization and Integration
- Greenhouse Technology and Climate Control
- Gas Sensing Nanomaterials and Sensors
- Phase Equilibria and Thermodynamics
- Carbon Dioxide Capture Technologies
Herrick Technology Laboratories (United States)
2003-2025
Purdue University West Lafayette
2015-2024
Laboratoire des Composites Thermo Structuraux
2024
Manufacturing Laboratories (United States)
2024
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2023
CEA Le Ripault
2023
University of Liège
2018
National Renewable Energy Laboratory
2017
University of Toronto
2016
Carleton University
2012
Lower costs and improved performance of sensors, controllers, networking is leading to the development smart building features, such as continuous monitoring, automated diagnostics, optimal supervisory control. For some these applications, it important be able predict transient cooling heating requirements for using inverse models that are trained on-site data. Existing loads range from purely empirical or "black-box" physical "white-box" models. Generally, black-box (e.g., neural network)...
This paper provides an overview of research related to use building thermal mass for shifting and reducing peak cooling loads in commercial buildings. The presents background on the concept problem optimizing zone temperature setpoints specific results that have been obtained through simulations, controlled laboratory testing, field studies. studies demonstrated significant savings potential However, are sensitive many factors, including utility rates, type equipment, occupancy schedule,...
This paper presents a method for automated detection and diagnosis of faults in vapor compression air conditioners that only requires temperature measurements, one humidity measurement. The differences between measured thermodynamic states predicted obtained from models normal performance (residuals) are used as indices both fault diagnosis. For detection, statistical properties the residuals current operation to classify faulty or normal. A is performed by comparing directional change each...
A tool was developed that allows evaluation of thermal mass control strategies using HVAC utility costs as the baseline for comparison. Inverse models are used to represent behavior building, cooling plant, and air distribution system. use measured data "learn" system provide relatively accurate site-specific performance predictions. Based on weather solar inputs, well occupancy internal gains schedules rates, predicts total cost a specified strategy. Intelligent can then be identified in...
Abstract This paper identifies important faults and their performance impacts for rooftop air conditioners. The frequencies of occurrence the relative costs service different were estimated through analysis records. Several difficult to diagnose refrigeration cycle simulated in laboratory. Also, on several indices quantified transient testing a range conditions fault levels. test results indicated that detection diagnostics could be performed using methods incorporate steady-state...