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Tom Brown 952534c5c9 Generalise limitation of tech potentials 
tech name must only appear, but not be identical to generator
carrier. This allows to use the name "offshore" for both "offshore-ac"
and "offshore-dc", but then "solar" also catches "solar thermal",
which is fine since for solar thermal potentials are np.inf, unless
limit is 0 since np.inf*0 is nan.
2019-04-24 12:17:42 +02:00
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README.md

PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

PyPSA-Eur-Sec builds on the electricity generation and transmission model PyPSA-Eur to add demand and supply for the following sectors: transport, space and water heating, biomass, industry and industrial feedstocks. This completes the energy system and includes all greenhouse gas emitters except waste management, agriculture, forestry and land use.

PyPSA-Eur-Sec includes PyPSA-Eur as a snakemake subworkflow. PyPSA-Eur-Sec uses PyPSA-Eur to build the clustered transmission model along with wind, solar PV and hydroelectricity potentials and time series. Then PyPSA-Eur-Sec adds other conventional generators, storage units and the additional sectors.

Currently the scripts to solve and process the resulting PyPSA models are also included in PyPSA-Eur-Sec, although they could in future be better integrated with the corresponding scripts in PyPSA-Eur. A stumbling block to sharing solve_network.py between PyPSA-Eur and PyPSA-Eur-Sec is the different extra_functionality required to build storage and CHP constraints.

Installation

First install PyPSA-Eur and all its dependencies. Clone the repository:

projects % git clone git@github.com:PyPSA/pypsa-eur.git

then download and unpack all the data files.

Create a parallel directory for PyPSA-Eur-Sec with:

projects % git clone git@github.com:nworbmot/pypsa-eur-sec.git

Data requirements

The Data requirements include JRC-IDEES-2015, JRC biomass potentials, EEA emission statistics, Eurostat Energy Balances, urban district heating potentials, emobility statistics, timezone mappings and heating profiles.

projects/pypsa-eur-sec/data % wget "https://nworbmot.org/pypsa-eur-sec-data-bundle-190417.tar.gz"
projects/pypsa-eur-sec/data % tar xvzf pypsa-eur-sec-data-bundle-190417.tar.gz