Youth@SIEW 

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.

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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.

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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.

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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.

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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.

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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

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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

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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.

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