Past Event

Webinar - Half Day Seminar On “Building Electrification and Chiller Heat Recovery” AND “Chiller Plant Optimization with AI and Machine Learning”
Venue: Digital Platform
Date & Time: 08 Mar 2022 (2:00 PM - 6:00 PM) Closed
CPD: 4
Closing Date Before: 05-Mar-2022 (Subject to change based on availability of seat)
Organised By Technical Division - Building Services

SYNOPSIS 1:   

Climate change is global crisis which need to be addressed immediately. Governments around the world have set up carbon neutral goals and  put more focus on electrical grid decarbonization. Building electrification coupled with a renewable or carbon-free source of electricity is considered to be decarbonized in building operation. Building heating requirement which is satisfied by fossil fuel heaters conventionally needs to be replaced by heat recovery or heat pump air conditioner. This seminar will discuss how the heat could be reclaimed from air-cooled and water cooled chillers and how heat recovery and heat pump chiller performance could be improved greatly. The applications and solution considerations of HR and HP chillers will also be covered.


SPEAKER 1 : Dr. ZHAO XIJING

Dr. Zhao Xijing is working with Daikin Asia applied product, system solution team as a  senior manager. She has more than 15 years experience HVAC system application and  energy solution. After graduated from National University of Singapore with a Ph.D degree  in Mechanical Engineering, she worked with Trane Air Conditioning, Johnson Control , and  Singapore BCA Green Mark in areas of product solution, chiller plant energy strategy, and  Green Mark assessment & verification before joining Daikin. She is Singapore Certified  Energy Manager, Green Mark Facility Professional, and LEED AP BD+C.



SPEAKER 2 :

Chiller Management System (CMS) is common for chiller plant rooms. Advanced CMS with optimization to optimize the chiller plant equipment operation to achieve energy saving become high expectation and demand from end users and operators.

CMS with AI and machine-learning will be new plant optimization and control software to provide a comprehensive, reliable, and dynamic solution. Optimization is not achieved by using a single algorithm designed to ensure the best efficiency but is rather a continuous process articulated through different level of smart software with AI and machine-learning function to ensure best chiller plant efficiency and operation  


SPEAKER 2 : Mr. WOO TECK KEE

Mr. Woon Teck Kee is working as Senior Manager with Daikin Applied (Malaysia) Sdn Bhd, Service Department Solution Team and he has more than 15 years experience in HVAC industry. After graduated from National Taiwan university with Mechanical degree, he has worked as Mechanical engineer for consultant firm, Project Manager for HVAC contractor involved in District Cooling Plant installation, Branch Office Manager for Energy Audit and Energy Performance Retrofit Projects. He is qualified Green Building Index (GBI) facilitator, and he has involved GBI certification for KL118 project. Currently he is leading DAPM in chiller plant optimization and energy performance retrofit projects


Limited to 370 participants only (first come basis) and confirmation email will be sent for successful registration latest by 07 March 2022 @ 5.00 PM


Additional Information
Posted on
 
 
Webinar - Half Day Seminar On “Building Electrification and Chiller Heat Recovery” AND “Chiller Plant Optimization with Ai and Machine Learning”
Flyer

18-Feb-2022
Download
Post Comment
 
Member Type Normal Rate
(RM)
Online Rate
(RM)
DISTINGUISHED HONORARY FELLOW 150.00 125.00
HONORARY FELLOW 150.00 125.00
FELLOW 150.00 125.00
DISTINGUISHED MEMBER 150.00 125.00
SENIOR MEMBER 150.00 125.00
MEMBER 150.00 125.00
HONORARY MEMBER 150.00 125.00
SENIOR GRADUATE 90.00 75.00
GRADUATE 90.00 75.00
INCORPORATED MEMBER 90.00 75.00
AFFILIATE 90.00 75.00
ASSOCIATE MEMBER 90.00 75.00
ENGINEERING TECHNOLOGIST GRADUATE 90.00 75.00
ENGINEERING TECHNICIAN GRADUATE 90.00 75.00
STUDENT 50.00 40.00
Non IEM Member 300.00 240.00

For IEM members, please CLICK HERE to login for member rate
Rate stated does not include 8% SST




Advertisement


Advertisement

Advertisement

Advertisement
Survey Form


NEWSLETTER

Sign up for our newsletter to receive more information
Name:

Email Address:

Follow Us