What question did this study set out to answer?

This research aims to optimize the operation of energy islands using predictive nonlinear programming methods.

February 2, 2026Open Access

Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming - A case study based on the Princess Elisabeth Energy Island

Key Points

This research aims to optimize the operation of energy islands using predictive nonlinear programming methods.
Utilized Python/Pyomo code for performing operational simulations
Focused on the Princess Elisabeth Energy Island case study
Analyzed energy management and optimization strategies
Enhanced operational efficiency of the energy island is observed
Improvement in energy allocation and management demonstrates potential benefits

Abstract

This repository contains Python/Pyomo code used to perform operational simulations of the Princess Elisabeth Energy Island, as described in the following publication: Useche-Arteaga, M., Gebraad, P., Lacerda, V., Cheah-Mane, M., and Gomis-Bellmunt, O.: Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming – A case study based on the Princess Elisabeth Energy Island, Wind Energ. Sci. Discuss. preprint, https://doi.org/10.5194/wes-2025-102, in review, 2025.

Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming - A case study based on the Princess Elisabeth Energy Island

Key Points

Abstract

Cite This Study