Projects
A selection of studies I've worked on and tools I've built. I also teach and conduct research from time to time.
// Consulting
CO2-free Electricity System 2035
Lead modeller
Study for the National Program Energy exploring pathways to a fully CO2-free electricity system by 2035. Modelled technology mixes, grid impacts, and cost implications.
NPE Meta-Study
Analyst
Meta-analysis for the National Program Energy synthesising findings across multiple energy scenario studies to inform national energy policy.
Scenario Study Nuclear Energy
Lead modeller
National policy study for the Ministry of Climate exploring the role of nuclear energy in the Dutch energy system. Adapted and applied PyPSA-Eur to evaluate various nuclear energy scenarios at European scale.
// Tooling & Development
W+B AI Adoption Program
Founder & Team Leader
Founded and led the company-wide AI adoption program at Witteveen+Bos. Team leader of the AI Development team building internal AI tooling.
pMIEK Infrastructure Prioritisation (TIP)
Architect and lead developer
Infrastructure prioritisation study for the province of Zuid-Holland. Developed modelling frameworks to support investment decisions in energy infrastructure.
Semi-Autonomous Energy Systems (HOLON)
Architect & Developer
Research and model development using innovative data architectures and agent-based modelling for semi-autonomous energy systems.
Energy System Optimisation Frameworks
Developer & Architect
Built in-house optimisation frameworks for energy system modelling at Witteveen+Bos, enabling national policy advice through proprietary PyPSA-based workflows.
Energy Decision-Support Tools
Full-Stack Developer
Full-stack development of interactive tools for energy decision-making, combining data analysis with intuitive visualisations.
// Research
Publication
2025
Cable pooling to add renewables amid grid congestion: Exploring optimal integration of solar and batteries with existing onshore wind under cost uncertainty
Emiel van Druten, Seth van Wieringen
Research interests
- Energy system optimisation under uncertainty: robust decision-making for infrastructure planning when costs, policies, and technologies evolve
- Grid integration of variable renewables: cable pooling, storage co-location, and network-aware capacity expansion
- Bridging models and policy: explainability of optimisation outcomes, stakeholder engagement, and translating academic methods to actionable policy advice
- Agent-based approaches to energy markets: representing actor behaviour and market dynamics beyond perfect-foresight optimisation
// Teaching
University of Twente
Guest Lecturer, Energy Systems Integration
- Developed and delivered lectures on energy system modelling for MSc course Energy Systems Integration
- Created a hands-on PyPSA workshop with code repository, bridging industry challenges with academic curriculum