Design and Optimization of Concentrated Photovoltaic-Thermal Systems for Solar Hydrogen Production Monash University Malaysia in Malaysia

Green hydrogen production via solar-powered water electrolysis is a pivotal technology for global decarbonisation. Conventional photovoltaic-electrolyser systems often waste significant thermal energy, limiting their efficiency and economic viability. Concentrated photovoltaic-thermal (CPVT) systems address this challenge by simultaneously generating electrical power and recoverable high-grade thermal energy from solar input, offering enhanced efficiency and reduced hydrogen production costs.

This PhD project at Monash University Malaysia focuses on the design, modelling, and optimisation of advanced CPVT systems specifically for solar hydrogen production. The research aims to develop high-efficiency CPVT architectures capable of operating effectively under variable irradiance conditions, including tropical and equatorial regions where diffuse radiation is prevalent. Key objectives include strategic utilisation of CPVT-generated thermal energy to improve water electrolysis performance and system economics.

Research activities will be predominantly simulation and modelling-based, with opportunities for targeted experimental validation. Core 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 performance under various conditions.
• Techno-economic assessment of CPVT-based hydrogen production systems.

Methodologies will integrate geometry modelling, optical modelling, computational fluid dynamics, electrical circuit modelling, and electrochemical performance models. Simulation platforms such as EES, MATLAB/Simulink, Python, ANSYS/COMSOL, and physics-informed machine learning may be used to accelerate model development and optimisation.

Funding is provided by Monash University Malaysia, covering full tuition fees and a stipend for successful PhD candidates. Applicants must hold a First Class Honours (H1) or equivalent qualification and meet English language requirements (IELTS, TOEFL). Experience in engineering, physical sciences, simulation, or modelling is advantageous.

Applications are accepted year-round. Interested candidates should contact Prof. Chong Meng Nan with a cover letter, CV, and evidence of English proficiency. If suitable, candidates will be invited to submit an Expression of Interest and may be selected for a scholarship interview.

For further details and to apply, visit the project page or email the supervisor directly.