RT H: ERI@N

Smart Multi Energy Systems: Challenges and Opportunities

Organiser Energy Research Institute @ NTU (ERI@N)
Date 28 Oct 2016, 10:00 - 13:00 hrs
Venue Lotus 4D/E, Level 4, Sands Expo and Convention Centre, Marina Bay Sands Singapore

Click here for executive report.

The advancement and availability of technologies related to renewable energy, Hybrid AC/DC Micro Grid, building management systems, energy storage, sensors and communications as well as data analytics provides the opportunity to integrate disparate systems within a multi-use site onto a systems-on- systems optimising platform. Such a smart multi energy system is a spring board to transform big data using intelligent algorithms into smart data that will enable complex systems to achieve optimal energy balance with minimal wastage. This smart data can further enhance site operators achieve more accurate predictive and prescriptive maintenance, failure detection and prediction, as well as monetise the assets through real time interactions with the energy market. The interoperability and compatibility with legacy systems is mandatory to fully realise the benefits of system-on- system control platforms.

Therefore, this Roundtable aims to:

  1. Provide an open platform for intellectual exchanges between both private and public sector professionals with regards to major technology hurdles, possibilities and best practices in the architecture of such a system
  2. Identify the challenges in pulling together this system level solution both technical and non-technical e.g., leadership inertia; and the opportunities for deployment beyond Singapore.
  3. Discuss how policies and standards can be developed to spur the development and deployment of such multi energy systems to realise a more sustainable multi-use development
09:05 - 09:15 hrs Presentation 1: The Building: The Emerging Focal Point for Energy Systems
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09:15 - 09:25 hrs Presentation 2: Driving Building Efficiency by Taking Control of Your Data
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Speaker

  • Rohan Rawte, Head of Asia Operation, IESVE
09:25 - 09:35 hrs Presentation 3: How Machine Learning can transform Big Data into Smart Data in the modern Smart Grid
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09:35 - 09:45 hrs Presentation 4: Hitachi Energy Optimizations and Control System for Area and Buildings
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09:45 - 09:55 hrs Presentation 5: Bits to dollar— A digital approach for energy resource planning
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09:55 - 10:30 hrs Q&A
10:30 - 10:50 hrs Networking and Coffee Break
10:50 - 11:00 hrs Presentation 6: Opportunities in VPP, Energy Management, and Microgrid
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11:10 - 11:20 hrs Presentation 7: Managing energy in townships- real life lessons
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11:20 - 11:55 hrs Q&A