Project Abstract

Carbon emissions from fossil fuel power generation are directly linked to the exacerbation of climate change effects. A proposed solution is the utilisation of green energy sources. A Savonius vertical axis turbine (VAT) can be deployed for wind or hydrokinetic power generation. It possesses excellent self-starting capability and can operate in highly turbulent conditions. Nevertheless, the efficiency of the turbine is relatively low.

A novel origami-based Savonius VAT is proposed, offering advantages in compactness, flexibility, and adaptability to changes in flow, which help maximise its efficiency. Unlike the rigid blades of conventional turbines, the origami mechanism allows the turbine blades to expand and contract, adapting to varying flow conditions and ensuring stable and optimal energy generation. This research investigates the fundamental aerodynamic and wake characteristics of the proposed turbine.

The study will explore the impact of free-stream turbulence levels on aerodynamic performance, examining mechanisms such as transition flow triggering and flow separation, including their effects on lift, drag, and moment. The wake characteristics generated downstream will be scrutinised. An empirical model will be developed to examine the interrelationships of the governing parameters. High-fidelity computational fluid dynamics simulations will be performed to analyse the flow field around the turbine and the vortices formed. To validate the flow phenomena, experimental investigations will be conducted with an actual prototype built for wind tunnel testing.

This project is expected to establish a high-efficiency origami-based Savonius VAT that can adapt to and accommodate various flow conditions. It is fully collapsible for storage and transportation, and it stops operation during extreme flow conditions.

This project aligns with the National Energy Transition Roadmap, which aims to increase the use of renewable energy up to 70% of the power generation mix by 2050. It will contribute to green job creation and boost the local green technology economy.

Entry Requirements

A first-class bachelor’s degree (or its international equivalent), OR,
a master’s degree (or its international equivalent), in mechanical engineering/aerospace engineering/electronics and electrical engineering or in physical sciences.

1. Proven track record in planning and conducting detailed experiments.

2. Prefer a candidate with CFD software experience.