b98235c1f1
This is almost a direct copy PyPSA-Eur #167 https://github.com/PyPSA/pypsa-eur/pull/167 A factor altering the maximum capacity (p_nom_max) can also be specified by e.g. solar+p3 One should be careful when using this for solar because the factor is applied to all the generators whose carrier includes the string 'solar' (i.e., it is applied to both utility and rooftop solar) I would suggest implementing 'solar utility' and 'solar rooftop' as carriers, since this can be useful for other selecting processes. Is there is any reason for keeping 'solar' as a carrier for 'solar utility'? The previous way of increasing maximum capacity via the config file (e.g 'solar3') is still present in the code. |
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PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
WARNING: This model is under construction and contains serious problems that distort the results. See the github repository issues for some of the problems (please feel free to help or make suggestions). There is neither documentation nor a paper yet, but we hope to have a preprint out by summer 2020. We cannot support this model if you choose to use it.
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.
Please see the documentation for installation instructions and other useful information.
This diagram gives an overview of the sectors and the links between them:
PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 described in the paper Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system (2018) but it differs by being based on the higher resolution electricity transmission model PyPSA-Eur rather than a one-node-per-country model, and by including biomass, industry, industrial feedstocks, aviation, shipping, better carbon management, carbon capture and usage/sequestration, and gas networks.
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.
Licence
The code in PyPSA-Eur-Sec is released as free software under the GPLv3, see LICENSE.txt. However, different licenses and terms of use may apply to the various input data.