A5102860252- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Plasma Diagnostics and Applications
- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Plasma and Flow Control in Aerodynamics
- Plasma Applications and Diagnostics
- Lubricants and Their Additives
- Refrigeration and Air Conditioning Technologies
- Dust and Plasma Wave Phenomena
- Modeling and Simulation Systems
- Analytical Chemistry and Sensors
- Spectroscopy and Laser Applications
- Adsorption and Cooling Systems
- Aerosol Filtration and Electrostatic Precipitation
- Laser Design and Applications
- Energy Efficiency and Management
- Advanced Control Systems Optimization
- Smart Cities and Technologies
- Turbomachinery Performance and Optimization
- Plant Surface Properties and Treatments
- Iterative Learning Control Systems
- Evacuation and Crowd Dynamics
- Electrostatic Discharge in Electronics
- Isotope Analysis in Ecology
Tsinghua University
2014-2024
State Grid Corporation of China (China)
2024
Texas A&M University
2021-2023
Walker (United States)
2023
University of Colorado Boulder
2018-2022
Hefei University of Technology
2009-2019
Tongji University
2016
China National Offshore Oil Corporation (China)
2015
Most modern buildings are equipped with building energy management and control systems. These systems can store tremendous amounts of data on buildings' performance usage. A significant amount mechanical devices, particularly electricity-consumption data, is now available for analysis. However, the quality collected questionable. Some mislabeled, others contain gaps errors. In this article, a methodology based correlation coefficient wavelet-based support vector machine predictor proposed to...
Building heating, ventilation, and air conditioning (HVAC) systems account for nearly half of building energy consumption 20% total in the US. Their operation is also crucial ensuring physical mental health occupants. Compared with traditional model-based HVAC control methods, recent model-free deep reinforcement learning (DRL) based methods have shown good performance while do not require development detailed costly models. However, these DRL approaches often suffer from long training time...
As people spend up to 87% of their time indoors, intelligent Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings are essential for maintaining occupant comfort reducing energy consumption. These HVAC smart rely 'on real-time sensor readings, which practice often suffer from various faults could also be vulnerable malicious attacks. Such faulty inputs may lead the violation indoor environment requirements (e.g., temperature, humidity, etc.) increase While many model-based...
Generally, the movement of journal along direction bearing axis under combined action various factors is neglected in lubrication study bearing, which quite different from actual working condition shaft-bearing system. In this paper, with a comprehensive consideration axial journal, surface topography and misalignment new model about hydrodynamic misaligned established based on average Reynolds equation. Considering effect characteristics parameters rough presented mainly discussed. The...
While both model predictive control (MPC) and deep reinforcement learning (DRL) have shown significant energy cost savings for building systems, there is a lack of in-depth quantitative study on the comparison between two. One major obstacle holistic evaluation environment community to integrate their expertise in studying model-based learning-based methods. To address this challenge, paper presents scalable containerized software framework performance comparisons, with special focus...
The interactions between power system dynamics and building are usually ignored or over-simplified in existing modeling simulation tools, which limits how can support Building-to-Grid integration.This paper discusses a new approach to consider those by motor-driven devices systems.The motordriven model is based on simplified mechanical rotation equations allows us study the coupling relationship frequency/voltage device operation.This validated performing one proof-of-concept case with...
The effect on a crankshaft was not generally considered in the current optimum design of bearing for an internal combustion engine, but corresponding relation between dimensions and those journal exists. In this article, crankshaft-bearing system four-stroke, four-cylinder engine taken as research object, bearings considering strength carried out. necessity studied. Crankshaft one constraints establishing model bearings. particle swarm algorithm used to optimize results show that, compared...
In actual operation of an engine, the crankshaft will move along axis direction engine main bearings under combined influence various influencing factors. Considering axial movement and deformation, a new lubrication model with rough surface was built based on average Reynolds equation. The deformed performance bearing studied. this study, law is measured through experiment, finite element method applied to solve tilting in bore resulted from deformation. results show that has significant...
Direct evaporative coolers (DECs) are a low-energy cooling alternative to conventional air conditioning in hot-dry climates. The key component of DEC is the pad, which evaporatively cools passing through it. While detailed numerical models heat and mass transfer have been proposed for these require many input parameters that not readily accessible. Alternatively, simplified lack accuracy confined common types pad. To address limitations, we developed validated physics-based model, only needs...