Smart Building Energy-savings Seminar (Webinar)
2 SCEM-PDU for SCEM (Approved and Confirmed) / PDUs for PEs and CEngs (To be approved and confirmed)
Terms and Conditions
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Singapore’s ambition and whole-of-nation movement towards the national agenda of sustainable city development by 2030 under the Singapore Green Plan is progressing with a vengeance. From fighting climate change, conceiving decarbonisation technologies and establishing Singapore as an international hub for future green tech and policies.
The Singapore industry of Engineers and Consultants will all play a part in designing, instituting and implementing the green solutions that touches on the five key pillars under the Green Plan; “City in Nature”, “Energy Reset”, “Greener Infrastructure and Buildings”, “Sustainable Living” and “Green Economy”. With the policy reinforcement through the Building & Construction Authority (BCA) by raising the sustainability standards of our buildings through the Singapore Green Building Masterplan, this will pave the way for a low-carbon built environment.
The Singapore Green Building Masterplan (SGBMP), which aims to deliver the three targets of “80-80-80 in 2030”, entails of;
1) Stepping up the pace to green 80% of our buildings by 2030
2) 80% of new developments by GFA to be Super Low Energy (SLE) buildings from 2030
3) Achieving 80% improvement in energy efficiency for best-in-class green buildings by 2030
This drive leads to a need for industry players and building owners to strongly consider and adopt even smarter innovative energy-efficient technologies and controls that will positively transform the built environment sector with better building energy performance and standards.
Mr Ippei Suzuki, a Professional Engineer from Japan for Environmental Engineering (Air-conditioning), will share knowledge on Azbil’s core AI energy-saving solutions in its Digital Twin Smart Building Ecosystem and Intelligent Building Management System (IBMS) that are positively influencing the ACMV operations in Singapore developments. These include large-scale projects such as the Nanyang Technological University (NTU) Campus and the upcoming Singapore Institute of Technology (SIT) development in Punggol and will showcase their overall positive impact in driving energy-efficiency as the largest systems vendor for District Cooling Systems in Singapore.
The introduction will cover the system architecture and design of a smart building system with multiple data infrastructure approaches in which a building owner can dynamically host their building data lakes such as in a cloud-based environment, an on-premise data hall or even as a hybrid arrangement.
Further to the IBMS, integrated AI energy-saving solutions will also be covered, ranging from the building water-side to the air-side using dynamic control based on building load requirements. Whenever possible (while maintain room comfort), it will be explained how the AI controls and regulates the supply according to load changes thereby reducing friction loss which in turn results in lower energy consumption.
With Singapore currently at a transitional journey for the Green Digital Revolution, the pioneering batch of Green Building Engineers and Consultants involved in the Building and Construction industry participating in this seminar will be empowered with the knowledge on the adoption of smarter green energy solutions. This will transform building management design practices through the automation of manual processes to save energy and improve operational readiness with a grand objective of contributing towards a sustainable net-zero emissions urban Singapore for our future generations.
Please click HERE for more information on the Speakers and Topics.
IES reserves the full rights to cancel or postpone the Event under such circumstances without prior reasons. And/or due to unforeseen circumstances. Every effort, however, will be made to inform the participants or contact person of any cancellation or postponement. Fees will be refunded in FULL if any Event is cancelled by IES.
(Please be informed that there will be a cancellation charge of 4.5% if cancelled by the participant)
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Yet to be allocated