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1861. An Introduction to PyPSA: Exploring Open-Source, High-Resolution Energy Planning
Invited abstract in session TD-30: Python Modeling Tools, stream Software for Optimization.
Tuesday, 14:30-16:00Room: 064 (building: 208)
Authors (first author is the speaker)
1. | Elisabeth Zeyen
|
Digital Transformation in Energy Systems, Technical University of Berlin | |
2. | Iegor Riepin
|
Digital Transformation in Energy Systems, Technical University of Berlin |
Abstract
PyPSA (Python for Power System Analysis) is an open-source toolbox to simulate and optimise modern power and energy systems. It encompasses various functionalities, such as conventional generators and links with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks. PyPSA is graph-based and designed to scale well with large networks and long time series.
PyPSA is used in several projects, such as PyPSA-Eur, which focuses on the European energy system. PyPSA-Eur automates the creation of highly detailed models of the European transmission networks of several energy carriers, incorporating renewable energy potentials, conventional power plants, and demand data across different sectors. This enables researchers and policymakers to conduct extensive analyses of network expansion, storage needs, and sector coupling strategies essential for achieving carbon neutrality.
This presentation will explore the functionalities, applications, and recent advancements of PyPSA and PyPSA-Eur. We will explore case studies demonstrating their use in optimising energy systems for cost-effectiveness and sustainability. Attendees will gain insight into the potential uses of these software tools in energy system planning and operational research.
Keywords
- Optimization Modeling
- Energy Policy and Planning
- Software
Status: accepted
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