Work

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

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18414312

Authors: Useche-Arteaga, Mario, Pieter, Gebraad, Albernaz Lacerda, Vinícius, Cheah-Mane, Marc, Gomis-Bellmunt, Oriol

Institution: Universitat Politècnica de Catalunya

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: green

Funder: European Commission