A5009633977- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Smart Grid Energy Management
- Sustainable Building Design and Assessment
- Energy Efficiency and Management
- Integrated Energy Systems Optimization
- Environmental Impact and Sustainability
- Urban Heat Island Mitigation
- Energy Load and Power Forecasting
- Facilities and Workplace Management
- Microgrid Control and Optimization
- Refrigeration and Air Conditioning Technologies
- Heat Transfer and Optimization
- Solar Thermal and Photovoltaic Systems
- Infection Control and Ventilation
- Hybrid Renewable Energy Systems
- Air Quality Monitoring and Forecasting
- Noise Effects and Management
- Optical Network Technologies
- Power Systems and Renewable Energy
- BIM and Construction Integration
- Geothermal Energy Systems and Applications
- Advanced Battery Technologies Research
- Electric Vehicles and Infrastructure
- Greenhouse Technology and Climate Control
Tongji University
2015-2024
Beijing University of Posts and Telecommunications
2023-2024
State Key Laboratory of Information Photonics and Optical Communications
2023-2024
University of Electronic Science and Technology of China
2020
Huainan Mining Industry Group (China)
2007
The BIM-based building energy simulation plays an important role in sustainable design on the track of achieving net-zero carbon stock by 2050. However, issues BIM-BEM interoperability make process inefficient and less automatic. insufficient semantic information may lead to results inaccurate while error-prone geometry will terminate engine. Defective models authoring tools lagging behind standard often cause failures creating a clean that is acceptable This project aims develop workflow...
During the pre-design stage of buildings, reliable long-term prediction thermal loads is significant for cooling/heating system configuration and efficient operation. This paper proposes a surrogate modeling method to predict all-year hourly in high resolution retail, hotel, office buildings. 16 384 models are simulated EnergyPlus generate load database, which contains 7 crucial building features as inputs outputs. K-nearest-neighbors (KNN) chosen data-driven algorithm approximate surrogates...