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Merge pull request #1255 from ekatef/draft_users_list
Add a list of PyPSA-Earth applications
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,10 +1,10 @@ | ||
| ,Unit,Values,Description,,,, | ||
| gadm_layer_id,,"""{0",1,"2}""","""GADM level area used for the gadm_shapes. Codes are country-dependent but roughly: 0: country",1: region/county-like,"2: municipality-like.""" | ||
| simplify_gadm,bool," ""{True"," False}""",True: shape polygons are simplified else no,,, | ||
| update_file, bool," ""{True"," False}"""," ""True: all input files are downloaded again and replace the existing files.""",,, | ||
| out_logging, bool," ""{True"," False}"""," ""True: Logging is printed in the console.""",,, | ||
| year,," ""past year; e.g. YYYY"""," ""Reference year used to derive shapes"," info on population and info on GDP.""",,, | ||
| nprocesses, int,," ""Number of processes to be used in build_shapes.""",,,, | ||
| worldpop_method,," ""{""standard"""," ""api"""," false}""","""Specifies how population is added to every shape: ""standard"" pulls from web 1kmx1km raster; ""api"" pulls from API 100mx100m raster; false (not ""false"") no population addition to shape. This is useful when generating only cutout.""",, | ||
| gdp_method,," ""{""standard"""," false}""","""Specifies how GDP is added to every shape: ""standard"" pulls from web 1x1km raster; false (not ""false"") no gdp addition to shape. This is useful when generating only cutout.""",,, | ||
| contended_flag,," ""{""set_by_country"""," ""drop""}"""," ""Specifies what to do with contended countries: ""set_by_country"" assigns the contended areas to the countries according to the GADM database; ""drop"" drops the contended areas from the model.""",,, | ||
| ,Unit,Values,Description | ||
| gadm_layer_id,,"{0,1,2}","GADM level area used for the gadm_shapes. Codes are country-dependent but roughly: 0: country,1: region/county-like,2: municipality-like." | ||
| simplify_gadm,bool,"{True, False}","True: shape polygons are simplified else no" | ||
| update_file, bool,"{True, False}","True: all input files are downloaded again and replace the existing files." | ||
| out_logging, bool,"{True, False}","True: Logging is printed in the console." | ||
| year,,"past year; e.g. YYYY","Reference year used to derive shapes info on population and info on GDP." | ||
| nprocesses, int,,"Number of processes to be used in build_shapes." | ||
| worldpop_method,,"{standard,api, false}","""Specifies how population is added to every shape: ""standard"" pulls from web 1kmx1km raster; ""api"" pulls from API 100mx100m raster; false (not ""false"") no population addition to shape. This is useful when generating only cutout.""" | ||
| gdp_method,,"""{""standard"",""false""}""","""Specifies how GDP is added to every shape: ""standard"" pulls from web 1x1km raster; false (not ""false"") no gdp addition to shape. This is useful when generating only cutout.""" | ||
| contended_flag,,"""{""set_by_country"",""drop""}""","""Specifies what to do with contended countries: ""set_by_country"" assigns the contended areas to the countries according to the GADM database; ""drop"" drops the contended areas from the model.""" |
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| .. SPDX-FileCopyrightText: PyPSA-Earth and PyPSA-Eur Authors | ||
| .. | ||
| .. SPDX-License-Identifier: CC-BY-4.0 | ||
| .. _users_list: | ||
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| ########################################## | ||
| Usage of PyPSA-Earth | ||
| ########################################## | ||
| The list below contains some the applications of PyPSA-Earth for educational, research and industrial projects and is likely to be incomplete. If you want to add your contribution into the list, feel free to open a PR to `PyPSA Earth repo <https://github.com/pypsa-meets-earth/pypsa-earth>`__ or flag your interest via `PyPSA meets Earth Discord server <https://discord.gg/AnuJBk23FU>`__. | ||
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| * Power system modeling for **Korea** to support development of the national energy strategy, considering ESS Capacity expansion, LMP & Cost analysis according to ESS combination, and coal phase-out scenario (`Energy Innovation Lab <https://energyinnovation.korea.ac.kr/>`__ at `Korea University <https://www.korea.ac.kr/sites/ko/index.do>`__) | ||
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| * Development a model for the **Pakistan** Power System (Soon available on GitHub in PyPSA-Earth's repository) cross-referenced and validated with national reports. The model has been used to develop the Net-Zero scenario by 2050 utilizing Pakistan's eligible Wind and Solar potential. The modeling study has been done as a part of Master Work in Mehran University of Engineering and Technology as presented in the `post <https://www.linkedin.com/posts/abdulkarimshah_thesisdefense-gratitude-energymodeling-activity-7268980842490724352-mp_M/>`__ | ||
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| * Investigation of implications of the national decarbonisaiton goals for power system of **Kazakhstan**. Traditionally, Kazakhstan’s power sector is using a lot of coal, while the national plans introduce a significant increase in solar and wind generation during the next decades. Model Kazakhstan power system has been used to investigate economic feasibility of going even beyond the official mid-term goal of 15% renewable energy share by 2030 in a joint project developed by Open Energy Transition and Agora Energiewende which `report <https://www.agora-energiewende.org/publications/modernising-kazakhstans-coal-dependent-power-sector-through-renewables>`__ has been published openly. | ||
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| * Country-wise validation of PyPSA-Earth methodology to extract modeling-ready data for power system modeling considering **any country on the Earth** published as a `conference paper <https://ieeexplore.ieee.org/document/10257559>`__. Results confirm that PyPSA-Earth now covers approximately 99% of the world's population and can generate high-resolution datasets for national energy studies. The supplementary data for fully reproducible 193+ power systems images created with PyPSA-Earth for all United Nations countries are available in `zenodo repozitory <https://zenodo.org/records/10080766>`__. | ||
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| * **Multi-Country Electricity Transition Potential and Challenges Project** (MCET) of `Environmental Defence Fund <https://www.edf.org/work/economics-energy-transition#:~:text=The%20Multi%2DCountry%20Electricity%20Transition,to%20decarbonize%20their%20electricity%20sectors>`__. The goal was to analyze barriers to decarbonisation in **China**, **India**, **Colombia**, **Chile**, **Kazakhstan**, **Bangladesh**, **Vietnam** and **Thailand** for power system planning in deep decarbonisation scenarios. | ||
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| * Investigation of the energy transition pathways for **Nigeria** published in a `research paper <https://doi.org/10.1016/j.apenergy.2023.121096>`__ by a joint team of PyPSA-Earth developers. Capabilities of PyPSA-Earth model has been showcased by considering two least-cost power system optimizations, one for 2020 to reproduce the historical system behavior and one representing a decarbonised 2060 scenario. | ||
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| * Modeling of the power sector in **Saudi Arabia** published as `MSc dissertation <https://zenodo.org/records/7017741>`__ in Edinburgh University. This has been a first attempt to predict the energy system for Saudi Arabia in 2060, with net zero emissions. The models in this study include a base model for validation, a model for 2030, to compare to the country’s Vision 2030 and as a transition phase, and two models for 2060 net zero, one is fully renewable and the other utilizing carbon capture and storage technology. The outputs of the work are available in the `repository <https://github.com/AnasAlgarei/PyPSA-KSA>`__. |
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