Home / SIEW 2023 / Youth@SIEW


ORGANISER Energy Market Authority
DATE 27 October 2023
TIME 09:00 – 12:00 hrs (GMT +8)
VENUE Level 4, Melati Ballroom, 4001, Marina Bay Sands, Singapore
In-person only

Held during the annual Singapore International Energy Week, Youth@SIEW is a key outreach platform to engage tertiary students and educators on the latest energy trends and career opportunities in the energy sector. The theme for Youth@SIEW 2023 is “Energy Transition Towards a Net Zero World”. The guest-of-honour is Ms Low Yen Ling, Minister of State, Ministry of Trade and Industry & Ministry of Culture, Community and Youth.

This event provides insights on energy developments and challenges, and provides a platform for participants to be engaged with industry and government on the importance of innovation and co-creation in achieving a more sustainable energy future.

Youth@SIEW also features exhibitions that showcase energy-related innovations by students from various institutes of higher learning. This year, we have also invited industry partners to promote available jobs and internships for students at the networking booths.

Low Yen Ling, Minister of State for Ministry of Trade and Industry (MTI) & Ministry of Culture, Community and Youth (MCCY)

Eddie Tan,Head, Operations & Performance Management, Renewables Business, Sembcorp Industries

Tulika Raj, Chief Executive Officer & Co-Founder, SunGreenH2

Battery-less Ocean safety beacon

Using a chemical reaction of metal and salt water, a small current could be generated, thus providing a power source to light up a beacon in dark marine environment for divers and safety vest wears.

Click here to view the project poster.

Industrial IoT Fuel Cell System

To design and develop a standalone methanol fuel cell power supply system with remote condition monitoring to power video surveillance systems and other devices in places such as open fields, overhead bridges, and isolated locations where electricity is not easily available.

Click here to view the project poster.

Digital Twin Model of RP’s Indoor Agricultural Lab (IAL) using BIM/BEM

To integrate digital twin, Building Information Modelling (BIM), and 3D modelling to display a digital representation of an existing RP’s indoor agricultural lab.

Click here to view the project poster.

Study of the Performance of New BIPV Modules in the Tropical Region

To set up a testbed in Singapore Polytechnic to test two types of new BIPV panels for metal roof and develop a Visual Basic for Applications (VBA) program for data acquisition and analysis to evaluate the performance of the BIPV panels.

Click here to view the project poster.

Hydrogen fuel cell drone

To improve productivity and address the challenge of short flight endurance when using drone to inspect the water pipeline network across Singapore by PUB.

Click here to view the project poster.

Fault Detection for Power Cable Protection Systems

To improve the overall efficiency and reliability of the electrical network, while maintaining the condition of electrical network equipment.

Click here to view the project poster.

Flint Paper Battery

This project aims to:

  • Create a sustainable replacement for lithium batteries at almost half the cost of the ones in the market.
  • Design a flexible battery that can bend or conform to various shapes and applications with improved safety features.
  • Collaborate with design and manufacturing partners to accelerate adoption and promote awareness by building paper batteries for various applications.
  • Continuously innovate and improve the battery’s performance and environmental impact.
  • Facilitate commercialisation and widespread availability of the paper battery

Click here to view the project poster.

Real-time Short-term Solar Forecasting for Efficient Load-Demand Management for Microgrids

To create a wireless sensor network for solar photovoltaic (PV) data acquisition and subsequently implement a hybrid online prediction model for short-term solar irradiance forecasting with minimal data required from the sensor network. To perform irradiance predictions to alert the system owner through the utilisation of historical and real-time data

Click here to view the project poster.

Optimisation of Energy Management in Multiple Micro-grids System Based on Predictive Control and Artificial Intelligence

To research and develop an integrated real-time optimised energy management system based on artificial intelligence and predictive control for multiple micro-grids in a changing environment with better energy efficiency and reliability.

Click here to view the project poster.

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