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 462 matching student topics
Displaying 433–444 of 462 results
Climate justice: analysing eco-equity in the energy market
Climate justice aims at sharing the benefits and burdens of climate change equitably between individuals and communities, regardless of their socioeconomic status, geographic location, or other demographic factors (Upham et al., 2022). Yet, ethnic minority populations are disadvantaged, for example, with rising energy costs and limited access to renewable energy sources, such as African Americans in the United States (Nature Energy Editorial, 2020) or Aboriginal and Torres Strait Islanders in Australia (Cain, 2024).In this project, we analyse eco-equity as a …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
Understanding urban complexity for climate resilience
Addressing the urgent need for community resilience amid escalating climate risks, including floods, extreme heat, and bushfires, is crucial for burgeoning cities. These cities comprise intricate networks of social, ecological, physical, and technological subsystems with structural and functional interdependencies. Understanding this complexity is vital for evaluating a city's resilience to climate risks and formulating effective policies and planning strategies. By applying complexity science principles, researchers can illuminate the dynamic relationships within these networks, revealing opportunities for sustainable urban development and …
- Study level
- PhD
- School
- School of Architecture and Built Environment
- Research centre(s)
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Centre for the Environment
2032 Brisbane Olympic Games: how can we achieve climate-positive urban objectives?
Brisbane is the first host city to be contractually bound to deliver a climate-positive Olympic Games in 2032 (Queensland Government, 2023). Most of the 8,000-megawatt coal plants are expected to close by 2032, which requires a viable and sustainable transition to renewable energies (Simshauser, 2024).In this project, we investigate how digital energy services and analytics (DESA) can help a sustainable energy transition for a climate-positive 2032 Brisbane Olympic Games.ReferencesQueensland Government. (2023). All Queensland. All in. 2032 procurement strategy. https://www.forgov.qld.gov.au/__data/assets/pdf_file/0011/404030/Q2032-procurement-strategy.pdfSimshauser, P. …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Trust in renewable energy
Trust is a complex, multi-dimensional concept that plays an essential role in any context where there is interaction among different parties. Three dimensions are integral for a profound understanding of trusting beliefs: competence, integrity, and benevolence (Mayer et al., 1995). Due to the contingencies and dynamics of the renewable energy transition, trust is a critical factor in communities (Walker et al., 2010).In this project, we investigate the multiple dimensions of trust in the context of renewable energies and provide recommendations …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
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
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Uberizing charging station allocations for electric vehicles
Uberization refers to the use of digital services to offer direct contact between service providers and service seekers (Bootz et al., 2022), which provides new opportunities for peer-to-peer charging of electric vehicles (Hu et al., 2021).In this project, we explore the uberization of peer-to-peer charging from a sharing economy perspective and analyse opportunities for service innovation of electric vehicles.ReferencesBootz, J.-P., Michel, S., Pallud, J., & Monti, R. (2022). Possible changes of Industry 4.0 in 2030 in the face of uberization: …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Is battery storage overrated? Achieving grid equilibrium through digital energy services and analytics
The share of renewable energy in electricity generation has globally increased to 28.3%, however, an acceleration of the sustainable energy transition is required to limit worldwide temperature rise (REN21, 2022).Energy storage offers various benefits, such as balancing the mismatch between electricity supply and demand; however, due to its charge/discharge inefficiencies (energy storage results in a loss of at least 10% of electricity in the charge/discharge process), digital solutions are needed to manage grid equilibrium effectively (Watson et al., 2022).In this …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Do people really intend to adopt renewable energies? Exploring the consumer adoption paradox
Consumers generally express positive attitudes towards renewable energies, recognizing system values such as environmental benefits and sustainability advantages (Zhang et al., 2024). However, the actual adoption and use of renewable energy services may not align with their expressed preferences.This paradox stems from various customer value-related barriers, such as high upfront costs, limited awareness, and concerns about reliability or convenience, which hinder widespread consumer adoption of renewable energy solutions (Jridi et al., 2016).In this project, we analyse the consumer adoption paradox …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
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Centre for Behavioural Economics, Society and Technology
Challenges to data sharing of electric vehicles: alleviating privacy concerns with edge computing
The Australian Government has released Australia’s first National Electric Vehicle Strategy to increase the uptake of electric vehicles (EVs) in Australia (Australian Government, 2023), which has the potential to reduce carbon emissions substantially, given that electricity is produced from renewable energy sources (Degirmenci & Breitner, 2017).Despite environmental benefits like reduced carbon emissions, EV owners become increasingly concerned about their privacy due to enhanced EV connectivity and increased personal data sharing through EV digital services. Edge computing, where data is processed …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Artificial intelligence (AI) to balance fluctuations of intermittent renewable energy sources
Artificial intelligence (AI) can play a significant role in analyzing and predicting energy consumption and production patterns from renewable sources such as solar and wind (Lyu & Liu 2021). This is particularly important due to the key challenge of intermittency, where major renewable sources for electricity, such as solar and wind, are subject to the inconsistencies of the weather (Watson et al., 2022).In this project, we investigate how AI and machine learning algorithms can optimize smart grids and other components …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
Climate equity in multi-hazard vulnerability assessments
The increasing frequency and intensity of extreme weather events, such as intense heatwaves, floods, and bushfires, is triggering disruptive disasters that have a significant impact on communities, ecosystems, and economies. While our national climate change adaptation strategy places a paramount focus on enhancing community resilience, it is crucial to recognise that not all communities face climate risks in the same manner. Diverse communities exhibit varying capacities to respond and adapt to distinct climate hazards. This reality underscores the imperative for …
- Study level
- Honours
- School
- School of Architecture and Built Environment
- Research centre(s)
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Centre for the Environment
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
- School
- School of Mechanical, Medical and Process Engineering
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