PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa. (1st July 2023)

• Record Type: Journal Article
• Authors: Parzen, Maximilian; Abdel-Khalek, Hazem; Fedotova, Ekaterina; Mahmood, Matin; Frysztacki, Martha Maria; Hampp, Johannes; Franken, Lukas; Schumm, Leon; Neumann, Fabian; Poli, Davide; Kiprakis, Aristides; Fioriti, Davide
• Is Part Of: Applied energy. Volume 341(2023)
• Publication Date: 2023-07-01
• Subjects: Macro-energy systems -- Optimization -- OpenStreetMap -- PyPSA-Earth -- PyPSA-Africa -- PyPSA meets Earth; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2023.121096
• Languages: English
• ISSNs: 0306-2619

Abstract

Abstract: Macro-energy system modelling is used by decision-makers to steer the global energy transition towards an affordable, sustainable and reliable future. Closed-source models are the current standard for most policy and industry decisions. However, open models have proven to be competitive alternatives that promote science, robust technical analysis, collaboration and transparent policy decision-making. Yet, two issues slow the adoption: open models are often designed with particular geographic scope in mind, thus hindering synergies from collaborating, or are based on low spatially resolved data, limiting their use. Here we introduce PyPSA-Earth, an open-source global energy system model with data in high spatial and temporal resolution. It enables large-scale collaboration by providing a tool that can model the world's energy system or any subset of it. The model is suitable for operational as well as combined generation, storage and transmission expansion studies. In this study, the novel power system capabilities of PyPSA-Earth are highlighted and demonstrated. The model provides two main features: (1) customizable data extraction and preparation with global coverage and (2) a PyPSA energy modelling framework integration. The data includes electricity demand, generation and medium to high-voltage networks from open sources, yet additional data can be further integrated. A broad range of clustering and grid meshing strategies help adapt the model to computational and practical needs. Data validation for the entire African continent is performed and the optimization features are tested with a 2060 net-zero planning study for Nigeria. The demonstration shows that the presented developments can build a highly detailed power system model for energy planning studies to support policy and technical decision-making. We anticipate that PyPSA-Earth can represent an open reference model for system planning, and we welcome joining forces to address the challenges of the energy transition together. Graphical abstract: Highlights: New open energy system model with global coverage and high-resolution data. Create model-ready data and integrated energy planning study for any set of countries. Novel use of OpenStreetMap network and generation data. Africa and Nigeria-specific data validation and net-zero carbon emission scenarios. PyPSA meets Earth: research initiative to foster open data, tools and solvers.