This repo contains the Open Source Energy Modelling Base for the Nordic countries (OSEMBN). It has been derived from the OSeMBE_ECEMF model using the scenario WP1_NetZero (version from 20.09.2023 including a correction for the emission activity of the Polish wind energy constraint).
The GSA workflow is based on https://github.com/KTH-dESA/esom_gsa.
The config folder contains configuration files for running the model. The envs folder contains yaml files for conda environments needed to run the model. They are used in the snakemake workflow. The input_data folder contains the input data for the different scenarios. The scripts_py folder contains python scripts that are independend of the snakemake workflow. The scripts_smk folder contains python scripts that are utilized in the snakemake workflow.
Further details about the background of the repository can be found in the Master's thesis report. The thesis report contains a detailed description of the model and the scenarios, as well as the results and the analysis of the results.
The model contains 5 scenarios. Changes are noted chronologically (the last three scenarios all include hydrogen).
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Nordic_before_interconnectors: This scenario differs from the OSeMBE scenario WP1_NetZero only in that all non-Nordic sets are deleted. This includes technologies, fuels and emissions. This also means that all technologies that represented interconnectors with other non-Nordic countries are also removed, so that the Nordics are completely isolated.
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Nordic_no_H2: This scenario includes interconnector technologies to non-Nordic countries, just like the original OSeMBE model. However, each interconnector, such as DKELDEPH2 (Denmark to Germany), has been split into two technologies ending with IH2 for imports into the Nordic country and EH2 for exports from the Nordic country. This was necessary because the annual activity limit used as a constraint doesn't distinguish between modes. The TotalTechnologyAnnualActivityUpperLimit and -LowerLimit were used to set the imports and exports to non-Nordic countries to the results from the OSeMBE WP1_NetZero scenario. However, it should be noted that this constraint neglects the temporal resolutions smaller than one year. This means that imports and exports take place in different time slices. However, the annual values are then the same and this difference is minor.
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Nordic: This model includes additional hydrogen technologies (detailed values are in the excel sheet and in the thesis report). It has the same emissions penalty for CO2 as the OSeMBE model, leading to negative emissions from 2030, exploiting biomass CCS technology, which has a high carbon capture efficiency of 70-80%.
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Nordic_co2_limit: The CO2 emissions penalty has been removed and replaced with an emissions cap that linearly reduces emissions from the base year (2015) to 0 in 2050. Between 2050 and 2060, it stays at 0.
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Nordic_em_free: This scenario gives the model complete freedom for emissions. Neither an emissions penalty nor an emissions limit has been set.
The model follows the nomenclature of the OSeMBE model. The scripts code_decipherer.py and the script data_decipherer in the folder scripts_py allow to decode the codes used in the model for technologies, emissions and fuels for better understanding.
The model can be run via the snakemake workflow or via the python script in the scripts_py folder.
Install snakemake using conda into a new environment called snakemake:
conda install -c conda-forge mamba
mamba create -c bioconda -c conda-forge -n snakemake snakemake-minimalThe workflow manages dependencies through conda environments. Dependencies are defined per rule and are installed upon first running the workflow.
- Place datapackage(s) in the folder
input_data. Each datapackage should be placed in a folder that is named after the scenario, e.g.baseline.
Copyright (C) 2024 by Timon Renzelmann. Software is released under the MIT license. Data is licensed under the CC-BY-SA-4.0 license