Projects
🚀 Research & Project Portfolio
Documenting my journey in sustainable energy systems, data-driven optimization, and climate-resilient infrastructure
🎯 Research Focus Areas
Long-Horizon Modeling
Building quantitative models that examine how demand growth, price dynamics, and policy assumptions propagate through energy-intensive systems over multi-decade timescales.
Uncertainty Analysis
Using structured scenario design and Monte Carlo sampling to map dominant drivers, identify non-linear responses, and quantify downside exposure and tail risk.
System Architecture
Representing interdependent components (supply → conversion → storage → demand) and the constraints that determine feasible operations and long-term performance.
Decision Optimization
Organizing models to produce decision-relevant outputs including comparisons, robustness rankings, and constraint binding points for strategic planning.
📚 Featured Projects
Multi-Electrochemical Energy Storage Optimization Active
MILP-based sizing optimization of PEM-integrated hybrid energy storage for data centre resilience, with Monte Carlo uncertainty quantification and multi-decade scenario analysis across UK climate zones.
PEM Electrolyzer Multiscale Modeling Active
Multiscale electrochemical modeling and experimental validation of PEM electrolyzers using GAN-based data augmentation and deep learning for MEA performance prediction.
Solar-Thermal PEM Hydrogen Platform Active
UCL–SJTU joint platform integrating solar thermal and PEM electrolysis, combining electrochemical testbed development with PVT-heat pump system simulation for green hydrogen production.
Energy Storage & Governance Research Active
Collaboration with Tsinghua University on energy storage cost-benefit analysis, power-system operation optimization, and energy governance under market and policy constraints.
CATL Top-Talent Programme 2025
Academic exchange at Cambridge on battery management systems, energy-intelligence architectures, and integration of physics-based electrochemical models with AI-enhanced methods.
IET & SPIES 2025 Conferences 2025
Presentations on hybrid energy storage for data-centre resilience (IET) and electrochemical modeling of PEM water electrolyzers for loss decomposition (SPIES 2025, Shanghai).
Climate Policy Integration
Framework for integrating climate policy considerations into energy system optimization, supporting UK Net Zero initiatives and low-carbon energy transition.
Blue Hydrogen Production Assessment
Technical and economic performance assessment of blue hydrogen production using new configuration through comprehensive modeling and simulation.
🔬 Research Methodology
Core Methodological Approaches
📊 Scenario-Based Analysis
Structured scenario design to explore baseline vs. adverse trajectories and stress-test system robustness
🎲 Monte Carlo Simulation
Probabilistic sampling to quantify uncertainty propagation and identify dominant risk drivers
🧮 Mathematical Optimization
Mixed-integer programming and convex optimization for decision-oriented system design
🤖 Machine Learning
Deep learning and ensemble methods for performance prediction and pattern recognition
⚡ Energy Flow Modeling
Component-level representation of supply, conversion, storage, and demand interactions
📈 Sensitivity Analysis
Systematic parameter variation to identify critical factors and non-linear responses
🔬 Electrochemical Modeling
Physics-based PEM electrolyzer models with experimental validation and loss decomposition analysis
🌡️ Thermal-Electrical Coupling
Solar-thermal integration with electrochemical systems for enhanced hydrogen production efficiency
🎓 Publications & Outputs
For a complete list of publications, citations, and research metrics, visit my Google Scholar profile or check the Analytics page.
Key Metrics:
- 📄 4 Publications
- 📊 18 Citations
- 📈 h-index: 1
- 🔬 i10-index: 1
Interested in Collaboration?
I'm always open to discussing research opportunities, collaborations, and innovative projects in sustainable energy systems.
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