Design and Optimization of Concentrated Photovoltaic-Thermal Systems for Solar Hydrogen Production
Green hydrogen production through solar-powered water electrolysis is a critical pathway for global decarbonisation. Conventional photovoltaic-electrolyser systems often waste substantial thermal energy generated during operation, limiting overall efficiency. Concentrated photovoltaic-thermal (CPVT) systems address this challenge by simultaneously generating electrical power and recoverable high-grade thermal energy from solar input. While CPVT technology is promising in regions with high direct normal irradiance, adapting these systems for tropical and equatorial climates—where diffuse radiation is significant—remains a key research challenge. Additionally, optimal strategies for thermal energy harvesting and integration with hydrogen production systems are not fully explored.
This PhD project at Monash University Malaysia focuses on the design, modelling, and optimisation of advanced CPVT systems for solar hydrogen production. The research will emphasise optical system design, thermal management strategies, and multi-physics modelling to develop high-efficiency CPVT architectures capable of operating under variable irradiance conditions. A major objective is to investigate how CPVT-generated thermal energy can be strategically utilised to enhance water electrolysis performance and improve system economics.
The project is predominantly simulation and modelling-based, with scope for targeted experimental validation. Key research areas include:
Design and characterisation of CPVT system configurations for hydrogen production
Development of multi-physics simulation models capturing optical, thermal, and electrical behaviour
Investigation of thermal management and photovoltaic cooling strategies
Analysis of thermal energy utilisation pathways for water electrolysis
System-level performance optimisation and parametric analysis
Numerical investigation of CPVT system performance under various conditions
Techno-economic assessment and performance evaluation of CPVT-based hydrogen production systems
Advanced numerical simulation and multi-physics modelling are primary methodologies. Geometry modelling, optical modelling, computational fluid dynamics, electrical circuit modelling, and electrochemical performance models will be integrated to capture coupled system behaviour. Simulation platforms such as EES, MATLAB/Simulink, Python, ANSYS/COMSOL, or similar tools will be used extensively. Physics-informed machine learning approaches may be applied to accelerate model development, performance prediction, and system optimisation.
Eligibility & Requirements:
Applicants must hold a First Class Honours (H1) or equivalent degree in Engineering or Science, preferably in Chemical Engineering, Mechanical Engineering, Energy Engineering, Physics, Chemistry, or related disciplines. Strong command of written and oral English is required. Demonstrated interest in renewable energy systems, solar technologies, or hydrogen production is expected. Solid foundation in thermodynamics, heat transfer, and/or electrochemistry is necessary. Experience with modelling and simulation tools is highly valued. Strong analytical and problem-solving abilities and capacity for independent research are required. Ability to work collaboratively in multidisciplinary research environments is important. Evidence of English proficiency test (IELTS, TOEFL) may be required.
Funding:
This project is funded by Monash University Malaysia. Successful PhD candidates will receive a stipend and fully-funded tuition fees.
Supervisory Team:
Prof. Chong Meng Nan (main supervisor), Dr. Sridhar Sripadmanabhan Indira, and Dr. Chan Ping Yi.
How to Apply:
Contact the main supervisor with your academic background and achievements to determine fit for the research topic. If suitable, submit your application via the provided link and ensure you enter the same research topic as advertised. Review the application requirements in the submission guide. Include a cover letter, CV, and evidence of English proficiency test (if any).
Applications are accepted year-round.