ellyess benmoufok

Computational science, energy systems, optimisation, and applied modelling.

PhD candidate in Computational Science working across wind energy systems, optimisation workflows, and applied scientific software.

Systems Lens

Principle

Formulate the system clearly.

Principle

Optimise under real constraints.

Principle

Stress-test assumptions with data.

Selected Work

PyVWF: Python Virtual Wind Farm

Research Engineering

Methods for reducing systematic error in wind resource estimation pipelines, with emphasis on robust calibration and reproducible evaluation.

Open link ↗

Improving Wind Representation in PyPSA-Eur

Energy Systems

Scenario design and optimisation experiments for large-scale energy system planning using PyPSA-Eur and scientific Python tooling.

Open link ↗

OBK Gear Optimiser

Applied Optimisation

A practical optimisation interface translating formal models into clear decision support for iterative strategy tuning.

Open link ↗

Music Production and Sound Exploration

Creative Practice

Explorations in musical composition and sound design, blending technical precision with artistic expression.

Open link ↗

Work Areas

Profiles