Mr Muzumil Anwar
BSc, MSc, FHEA

 

Research Overview

Research in Engineering and Materials Education

Renewable Energy, Sustainable Energy, Hydrogen Production, Ammonia Production, Waste heat minimisation, 4E analysis, Machine learning, Techno-economic analysis

Interests

  • Sustainable hydrogen and ammonia energy systems
    System-level modelling and optimisation of renewable-powered hydrogen carriers and green ammonia production.

  • Waste heat recovery and low-carbon cooling technologies
    Integration of thermodynamic cycles (e.g., Kalina cycle, vapour absorption refrigeration) to improve efficiency and reduce energy losses in industrial systems.

  • Energy, exergy, economic, and environmental (4E) analysis of energy systems
    Evaluating the performance, sustainability, and techno-economic feasibility of integrated energy and process systems.

  • Machine learning for engineering systems
    Development of surrogate models, predictive frameworks, and data-driven methods for analysing complex engineering processes.

  • Uncertainty quantification and sensitivity analysis in energy systems
    Using machine learning and statistical methods to analyse system performance under uncertainty.

  • Multi-objective optimisation of complex engineering systems
    Application of evolutionary algorithms (e.g., NSGA-II) and machine learning models to identify optimal system designs and operating conditions.

  • Process simulation and digital modelling of energy systems
    High-fidelity modelling using tools such as Aspen Plus, MATLAB, and Python for system design and performance evaluation.

  • Low-carbon technologies and decarbonisation strategies
    Research focused on reducing greenhouse gas emissions and improving the sustainability of industrial energy systems.

  • Integration of machine learning with physics-based models
    Bridging data-driven approaches with thermodynamic and process-based modelling frameworks.