THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

This repository consists of the following datasets 1. EAPP_reference scenario_datafile.DD- This dataset is a model file that needs to be used with the code available in this GitHub link. This data file (in concurrence with the OSeMOSYS code) can be used to create a linear programming file (LP file) to be solved using any mathematical optimisation solver like GLPSOL/C-PLEX/GUROBI/CBC. 2. Main article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the main article. 3. Supplementary article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the supplementary article.

The Kenya-CLEWS model involves a model developed in the Open Source Energy Modeling System, OSeMOSYS. The use of GIS data to have an approximation of different land uses such as artificial surfaces, cropland, grassland, and tree covers, among others. Sectors include the cooking sector for urban and rural areas since its direct interconnection with forest land, i.e., wood and charcoal for cooking. Other cooking technologies, such as gas, kerosene, and electric stoves, are also included in the model. This model version incorporates crops that significantly impact the food value chain, such as wheat and maize.

Data repository for the paper 'Morocco's Coal to Clean Journey: Optimised Pathways for Decarbonisation and Energy Security' (https://doi.org/10.21203/rs.3.rs-2579435/v4).

Six clic-SAND scenario files for analysis of decarbonisation and energy security in Morocco, 'Data Note describing the scenarios' file outlining the steps to replicate the analysis and rebuild the scenarios, 'Data Annex' listing the data sources and assumptions in the scenarios, 'Instructions for running the model' outlining the steps required to re-run the scenarios on OSeMOSYS Cloud, and 'U4RIA Compliance' describing the level of compliance of the study to U4RIA principles.

These are files with the outputs for each scenario in the paper "Analyzing Carbon Emissions Policies for the Bolivian Electric Sector" submitted to the journal Renewable and Sustainable Energy Transition.

This dataset has been developed by KTH Division of Energy Systems Analysis in the Open Source Energy Modelling System (OSeMOSYS) , as further research of the existing TEMBA- model (The Electricity Model Base for Africa). A universal electricity access across the African continent is achieved by 2030 at a specific electricity consumption level. Several generation options are allowed in each nation, while cross-border electricity trade is enabled at existing and future planned levels.

An indicative analysis of investment opportunities in the African electricity supply sector — Using TEMBA (The Electricity Model Base for Africa),2016. URL https://www.sciencedirect.com/science/article/pii/S0973082615300065

This dataset refers to the modelling exercise (version01_210616RCLEWs). The dataset contains the OSeMOSYS code used to run the modelling exercise, the model input data, the scenarios model data files, and the results. The code for the results visualization is available at https://github.com/KTH-dESA/teaching-CLEWs_visualization.

This is an update of version 01_210827 available at: https://doi.org/10.5281/zenodo.5293834

This dataset has been developed by KTH Division of Energy Systems Analysis in the Open Source Energy Modelling System (OSeMOSYS) , as further research of the existing TEMBA- model (The Electricity Model Base for Africa). A universal electricity access across the African continent is achieved by 2030 at a specific electricity consumption level. Several generation options are allowed in each nation, while cross-border electricity trade is enabled at existing and future planned levels. An indicative analysis of investment opportunities in the African electricity supply sector — Using TEMBA (The Electricity Model Base for Africa),2016. URL http://www.sciencedirect.com/science/article/pii/S0973082615300065.

A starter data kit for Angola

A starter data kit for Taiwan Province Of China

A starter data kit for Ecuador

This dataset underpins the report provided to the project JRC-TEMBA - African decarbonisation pathways.

The report provides insights into energy supply and demand, power generation, investments and total system costs, water consumption and withdrawal as well as carbon dioxide emissions for the African continent.

The energy supply systems of forty-seven African countries are modelled individually and connected via gas and electricity trade links to identify the cost-optimal solution to satisfy each country´s total final energy demand for the period 2015-2065. In this analysis, The Electricity Model Base for Africa (TEMBA) was extended to include a simple representation of the full energy system. It was also updated to include new data. It is run using the medium- to long-term Open Source Energy Modelling System tool (OSeMOSYS).

The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation.

The OSeMOSYS model and input data used to produce these results can be found at https://github.com/KTH-dESA/jrc_temba.

This repository contains data and code for two experiments of floating solar capacity expansion in Africa for the paper "Floating PV Reduces Risks of Hydro-Dominated Energy Development in Africa" (Arnold et al. 2024)

Africa-OSeMOSYS-TEMBA

Data and code for configuring OSeMOSYS-TEMBA model scenarios with floating solar capacity expansion. The TEMBA model itself can be accessed at the Zenodo repository Data in support of “Declining cost of renewables and climate change curb the need for African hydropower expansion” (2023) doi: 10.5281/zenodo.7931050

ZW-SAPP

Data and code for post-processing Zambezi Watercourse EMODPS / SAPP PowNet solutions and simulations.

Complexity science methods applied for policies provide a means of exploring the effects of various types of spatial and temporal drivers and constraints on the behaviour of society and helps scenario-forming and the development of sound policies through stakeholder consultations. In the context of policy-making following a five-component Nexus approach that includes Water, Energy, Food, Land Use and Climate, System Dynamics Modelling is used for the holistic approach, since it presents various advantages, such as integrating different model outputs and handling system complexity via a building-block approach. To this end, the Nexus System Dynamics Model (Nexus_SDM) that establishes and quantifies the interlinkages among all five Nexus components for the national case study of Greece has been built in STELLA Professional (ISEE Systems--https://www.iseesystems.com/store/products/stella-professional.aspx). The methodology of data mapping and linking Nexus components in a complex system is followed, while outputs from thematic models are integrated producing an extensive multi-sectorial data set for the year 2010 that includes an exhaustive list of Water and Energy demands, Agricultural production and resulting agricultural value for 14 different crop types and 8 different animal types and their associated products. Green House Gas emissions from all sectors are presented as well. Data originate from open databases and national sources, such as Eurostat, the Greek National Statistical Authority (ELSTAT), the Hellenic Ministry of the Environment and Climate Change, the Association of Greek Tourism Enterprises and the Independent Power Transmission Operator of Greece are collected. Additional data from thematic models E3ME (https://www.camecon.com/how/e3me-model/) and OSeMOSYS (http://www.osemosys.org/) are also integrated. Advanced disaggregation algorithms are employed in order to disaggregate annual national-scale data to fourteen River Basin Districts in Greece and 12 months of year 2010. The data are used to map and quantify all interlinkages, identifying Nexus hotspots, i.e., which Nexus dimensions strongly affect others and threaten their security and which interlinkages are relatively weak. Mapping multiple Water-Energy-Food-Land Use-Climate Nexus data, analysing and quantifying all interlinkages among its Nexus components is critical in order to assess the Nexus, prioritise expenses and set the agenda for achieving sustainability. Such data sets are necessary to make the Nexus concept operational for policymakers and stakeholders in a participatory process and it is an important step towards achieving the United Nations Sustainable Development Goals. Acknowledgements: The data presented herein have been collected and processed within the project SIM4NEXUS. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 689150.

Scenario discovery SAMBA data files:

1) The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.
Each of these files has a code on top referring to the combination that it represents.
The key to the levers is in the Excel file "Metafile". There the naming convention of technologies as well as corresponding combination for scenario are also available.
2) The Access database Scenario_discovery_database.mbd contans results from the 324 runs.
The key to the scenarios are in the Excel file "Metafile" tab "Scenario_key".
3) The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.
4) The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery

The data provided were gathered for the assessment of decarbonization pathways in Colombia using the OSeMOSYS framework. However, the data available through this repository are independent of the tool. The dataset presented was collected from websites, reports, and databases of international organizations and national entities, as well as from academic articles. It includes historical and/or projected data (2021-2050) of end-use energy demands, capital and operating costs, efficiencies, operational lifetimes, capacity factors, residual capacities, emission factors, and energy availabilities.

Hands-on exercise 6 part of the Energy and Flexibility Modelling Course.

A starter data kit for Laos

The dataset compiles techno-economic data for modelling hydrogen pathways, encompassing 36 technologies that span from hydrogen production to its various end uses in transport and industry. The dataset's structure is designed to align with the Open Source Energy Modelling System (OSeMOSYS); however, the techno-economic data can be applied to any modelling framework. The data presented within this dataset was sourced from reports, websites, datasets of international and national organizations, as well as peer-reviewed journal papers. It includes both standard values and projected data for the years 2021-2050, covering capital costs, fixed costs, variable costs, operational lifetimes, efficiencies, and capacity factors.