Optimizing the Operation of Energy Islands with Predictive Nonlinear Programming - A case study based on the Princess Elisabeth Energy Island
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.
Authors
- Oriol Gomis‐Bellmunt (ORCID: https://orcid.org/0000-0002-9507-8278)
Institutions
- National Federation of the Blind (US)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-29
- DOI
- https://doi.org/10.5281/zenodo.18414805
- Primary Topic
- Hybrid Renewable Energy Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00