WindGrid

Market Modelling Expert

Mott MacDonald

Leading project work that leverages the use of analytics and mathematical modelling to deliver insights on future energy systems. Working with clients internationally such as governments, agencies, utilities and domestically with the UK government. Examples of this work listed below: 

- Techno-economic studies on generation planning in the presence of high penetration of Renewable Energy Resources and Decarbonisation Targets (up to 100%). 
- Fundamental Modelling of Hydrogen Production through electrolysis and coupling with the Power Sector.
- Modelling of high RES systems with battery storage, flexible demand, electric vehicle penetration and power/gas/water sector coupling. 
- Reliability assessment of energy systems based on state-of-the-art simulation modelling that considers uncertainty in grid outages and maintenance planning.
- Market Studies though simulation of generation and transmission infrastructure using PLEXOS modelling software.
- Development of novel multi-objective optimisation models for clients in the UK to deliver policy strategic insights that consider multiple decision vectors spanning cost, carbon emissions, EV uptake and more.

Senior Energy Modelling and Analytics Consultant

Energy Exemplar

Senior Optimisation Analyst / Consultant

- Energy Analytics and Operational Research. 
- Consulting clients on Power and Gas Market Modelling.
- Delivering training to clients on PLEXOS market modelling tool.

Supporting clients across the energy and gas industry, in building models for planning and operational decisions. Interventions based on advanced mathematical programming (linear, quadratic and mixed integer), Monte Carlo reliability analysis and stochastic optimization. 

Expert advice on appropriate use of analytics and methodologies and guidance in the usage of PLEXOS as the market modelling and implementation tool.

Optimisation Analyst / Support Consultant (PLEXOS)

Inria

Research topic: 
Optimisation of Wireless Backhaul Network design.

Summary: 
Study and development of new methods for designing microwave backhaul networks with high reliability and low capital and operational expenditures.

Context of work: 
- Build an algorithm to compute the exact realiability of a wireless network. 
- Choose the optimal bandwidth and modulation assginment to maximise the reliability subject to budget constraints on installation and annual operating costs. 
- Ensure that the network traffic is routed with high reliability and within a tree structure.

Platforms: Windows, Linux

Development language: Python

Tools: SublimeText, PulP, CPLEX

Research Intern: Operations Research

Senior Energy Analytics professional with BEng and MEng in electrical and computer engineering and MSc in Operational Research.  Extensive experience in the area of mathematical modelling with contributions to academic research in optimisation. Knowledge of programming, machine learning and analytics methodologies.

Hands-on experience in the application of simulation, predictive modelling and optimisation to the energy industry. Diversity of exposure to a range of clients such as: Utilities, Manufacturers, Transmission System/Market Operators, Energy Regulators and Research Institutes in Europe, Middle-East and Africa.

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