☕️Mingchen Li 李銘晨
PHD in Civil Engineering (Scientific Computation)
Hong Kong University of Science and Technology
Mingchen Li is a PHD student in Civil Engineering (Scientific Computation) at Hong Kong University of Science and Technology. He research interests include Building Performance Optimization, Semantic Model and Machine Learning. He is now a student of Prof. Wang and works on semantic modeling of air conditioning systems.
Skills
python
R
Latex
Building daylight simulation
Building energy simulation
Parametric Modeling
Recent Publications
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(2023).
Modelling Variable Refrigerant Flow System for Control Purpose.
Energy and Buildings.
(2023).
Uncertainty quantification and sensitivity analysis of energy consumption in substation buildings at the planning stage.
Journal of Building Performance Simulation.
(2023).
Based on ANN and many-objective optimization to improve the performance and economy of village houses in Chinese cold regions.
Journal of Building Performance Simulation.
(2023).
Optimized Design of Floor Plan and Components of Prefabricated Building with Energy-Cost Effect.
Applied Sciences.
Projects
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The main parts I am responsible for are, VRF selection, algorithm deployment and Brick Schema semantic model modeling.
Accomplishments
‘Optics Valley Of China. Huawei Cup’ The 19th China Post-Graduate Mathematical Contest in Modeling.
The best work of the first domestic BIM application 100 universities invitations (Leader).
2021 BIM Technology Application Innovation Labor Competition Domestic Software Group (Leader)
Contact
Free to contact me.