69 lines
4.1 KiB
Markdown
69 lines
4.1 KiB
Markdown
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[](https://pypsa-eur.readthedocs.io/en/latest/?badge=latest)
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[](https://doi.org/10.5281/zenodo.3520874)
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[](https://gitter.im/PyPSA/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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[](https://snakemake.readthedocs.io)
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[](https://api.reuse.software/info/github.com/pypsa/pypsa-eur)
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# PyPSA-Eur: An Open Optimisation Model of the European Transmission System
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PyPSA-Eur is an open model dataset of the European power system at the
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transmission network level that covers the full ENTSO-E area.
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The model is suitable both for operational studies and generation and transmission expansion planning studies.
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The continental scope and highly resolved spatial scale enables a proper description of the long-range
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smoothing effects for renewable power generation and their varying resource availability.
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The model is described in the [documentation](https://pypsa-eur.readthedocs.io)
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and in the paper
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[PyPSA-Eur: An Open Optimisation Model of the European Transmission
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System](https://arxiv.org/abs/1806.01613), 2018,
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[arXiv:1806.01613](https://arxiv.org/abs/1806.01613).
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**WARNING**: Please read the [limitations](https://pypsa-eur.readthedocs.io/en/latest/limitations.html) section of the
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documentation and paper carefully before using the model. We do not
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recommend to use the full resolution network model for simulations. At
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high granularity the assignment of loads and generators to the nearest
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network node may not be a correct assumption, depending on the topology of the underlying distribution grid,
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and local grid
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bottlenecks may cause unrealistic load-shedding or generator
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curtailment. We recommend to cluster the network to a couple of
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hundred nodes to remove these local inconsistencies. See the
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discussion in Section 3.4 "Model validation" of the paper.
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
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
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The model building routines are defined through a snakemake workflow. The model is designed to be imported into the open toolbox
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[PyPSA](https://github.com/PyPSA/PyPSA) for operational studies as
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well as generation and transmission expansion planning studies.
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The dataset consists of:
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- A grid model based on a modified [GridKit](https://github.com/bdw/GridKit)
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extraction of the [ENTSO-E Transmission System
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Map](https://www.entsoe.eu/data/map/). The grid model contains 6763 lines
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(alternating current lines at and above 220kV voltage level and all high
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voltage direct current lines) and 3642 substations.
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- The open power plant database
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[powerplantmatching](https://github.com/FRESNA/powerplantmatching).
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- Electrical demand time series from the
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[OPSD project](https://open-power-system-data.org/).
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- Renewable time series based on ERA5 and SARAH, assembled using the [atlite tool](https://github.com/FRESNA/atlite).
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- Geographical potentials for wind and solar generators based on land use (CORINE) and excluding nature reserves (Natura2000) are computed with the [atlite library](https://github.com/PyPSA/atlite).
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Already-built versions of the model can be found in the accompanying [Zenodo
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repository](https://doi.org/10.5281/zenodo.3601881).
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A version of the model that adds building heating, transport and
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industry sectors to the model, as well as gas networks, can be found
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in the [PyPSA-Eur-Sec](https://github.com/PyPSA/pypsa-eur-sec) repository.
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