Building Information Modelling towards Intelligent HVAC System

I&T Solution Building Information Modelling towards Intelligent HVAC System
(REF : S-0181)
Solution Feature
  • Effectively create a CFD model based on the BIM models using Autodesk CFD. Undertake the CFD simulation to obtain the environmental condition, e.g. temperature, humidity, wind speed, etc. Carry out this simulation with different inputs and record the results systematically.
  • Determine various thermal comfort levels based on the environmental condition parameters. Then, use machine learning/deep learning method to obtain a complex correlation between input variables and the resultant comfort level from CFD simulation results.
  • Formulate a control algorithm to achieve an intelligent control of air-conditioning system, depending on people density, location, etc., to achieve a balance of human comfort and energy saving.
  • Install IoT devices, e.g. thermal cameras, CO2 sensors and humidity sensors on site to collect data, which are used to evaluate and improve the control algorithm. Also, the data collected give feedback to the intelligent control to verify the performance of the air-conditioning, achieving a close loop control.
  • Develop a software system for the intelligent control, which can monitor the environmental conditions in a 3D view. Also, a user-friendly interface will be provided for the control and analysis on 3D thermal and IAQ comfort, as well as optimal energy consumption.
Trial Application and Expected Outcome
  • The intelligent control of single air-conditioning in regular office, to ensure the thermal confirm and energy saving.
  • The intelligent control of central air-conditioning in lecture theatre, adjusting the thermal confirm and saving energy.
  • The intelligent control of the venting system in Public Transport Interchange (PTI), to ensure the air quality with effective energy use.
Info on I&T Solution Provider
Solution Provider:Guangdong Institute of Intelligent Manufacturing
Address:No.13 Building, 100 Xianliezhong Road, Guangzhou City, China
Name:Hao Qin
Position:Doctor
Tel: +86 13923096809
Email: h.qin@giim.ac.cn

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