QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.
Found 34 matching student topics
Displaying 13–24 of 34 results
Understanding energy demand behaviours in Internet of Vehicles (IoV) systems
The internet of vehicles (IoV) plays an important role in the internet of things (IoT) value system. IoV enables vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications through enhanced connectivity and data-driven decision-making. However, given the importance of energy infrastructures in IoV systems (Shen et al., 2021), the role of energy demand behaviours is yet overlooked.In the context of electric vehicles as low-emission consumer energy resources (Degirmenci & Breitner, 2017), V2V and V2I networks improve the communication with other vehicles and charging …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Customer messaging for energy behaviour change in smart homes
Queensland has committed to the rapid transformation of its energy systems in the coming years, with the 2022 Queensland Energy and Jobs Plan targeting 70% renewable energy usage by 2032 (Queensland Government, 2022). While the implementation of the plan has the potential to deliver major environmental and economic benefits for the state, it carries significant technological and social challenges.Critically, it requires effective communication with customers to ensure uptake of target consumer energy resources (CERs) like electric vehicles, home battery storage, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Facilitating Towards Sustainable Electric Vehicles Trading System
The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Machine Learning-based pedictive tool for energy storage
The fundamental idea behind the ML approach is to analyze and map the relationships between the physical,chemical, and energy storage properties of materials with their associated output data. This early understanding of the energy storage capabilities through the ML approach helps the material scientists to clearly understand, discover, and optimize the fabrication process to develop highly efficient energy storage systems. It also provides key steps in the device fabrication process omitting excessive experimental stages.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Gamification and serious games to encourage behavioural change in energy consumption
Games have become an integral part of our lives, which is why they are increasingly being used for other purposes than pure entertainment, such as learning, training, informing, or advertising (Degirmenci, 2017). While gamification uses game elements in non-game contexts, serious games are full-fledged games, both aiming to create meaningful engagement and foster desired behaviours (Degirmenci, 2023; Degirmenci and Breitner, 2023).In this project, we investigate how gamification and serious games can help to encourage behavioural change in energy consumption to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
Convergence of virtual reality (VR) and digital twin technologies to enhance energy resilience
A convergence of virtual reality (VR) and digital twin technologies can provide multifaceted benefits like digital learning processes, generating a collaborative ecosystem between technological and human assets (Martínez-Gutiérrez et al., 2023). When digital twins are adopted, they can provide sustainable energy solutions, such as energy efficiency optimisation or renewable energy integration (Coelho et al., 2024).In this project we investigate the adoption of digital twins and how this can drive the sustainable energy transition in VR environments from a cognitive computing …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Combining solar and vibration energy harvesting for rainfall prediction
Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Production of hard carbon for sodium-ion batteries
The transition to renewable energy sources such as solar and wind necessitates efficient and large-scale energy storage solutions. Sodium-ion batteries (SIBs) have emerged as a viable alternative to lithium-ion batteries for grid-scale storage due to the abundance and low cost of sodium. Hard carbon anodes, derived from biomass, offer a sustainable and effective solution for SIBs, providing a pathway to enhance energy storage capabilities and support renewable energy integration.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Understanding user behaviours of kinetic energy harvesting
Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Understanding user behaviour in virtual power plant (VPP) communities
Virtual power plants (VPP) provide a viable solution to integrate intermittent renewable energy sources into the grid, where a transition from centralized to decentralized energy distribution can provide economic and ecological benefits and facilitate citizen empowerment and a sense of community. However, consumers are reluctant to adopt distributed energy systems such as rooftop solar panels and household and community battery storage, which provide electricity generation and storage technologies that are located close to the point of use, as opposed to …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Advanced electron microscopy for sustainable nanocatalysis
The systematic and detailed characterisation of heterogeneous catalysts is critical for design of effective and stable catalytic materials, since it allows one to understand the correlation between their structure and physicochemical properties.Especially, it is important to monitor the structural evolution of catalytic materials and their active sites in a controllable environment and under realistic reaction conditions.Thus, we propose to use a powerful combination of aberration-corrected high-resolution TEM and in situ TEM experiments which allow us to gain extensive knowledge about …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Modelling of electrochemical CO2 capture and conversion
Renewable electricity is remarkably cheap, and is only going to get cheaper. However, existing state-of-the-art CO2 capture and conversion processes use thermal energy (typically generated by burning natural gas). This modelling project will investigate electrochemical techniques for capturing CO2 from air (direct air capture) and converting it to useful chemicals and materials.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
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