This file is the Base SAND file for South America.

This is published as part of the MethodsX paper titled How to put together a Starter Data Kit from scratch? An extensive methodology to compile zero-order energy transition models. The main goal of the files published for this paper is to develop a set of credible data and an initial investment model for several developing countries.

Seven clicSAND scenario files for Beyond the Dams: Combatting Hydropower Over-reliance & Securing Pathways for a Low-carbon Future for Laos' Electricity Sector using OSeMOSYS (Open-Source Energy Modelling System).

How to Visualise Results Online and Offline outline the steps required to re-run the scenarios on OSeMOSYS Cloud

Scenario Short Note outlines the steps to replicate the analysis and rebuild the scenarios

Annex - Input Data and Assumptions listing the data sources and assumptions in the scenarios

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.

A resource for: Clear Definitions of OSeMOSYS Parameters Description of Parameter Effects Understanding Policy Relevance of Parameters Residual Capacity Corrected

Techno-economic dataset for long-term energy systems modelling in Morocco. This includes data on electricity capacity by source, power plants costs, fossil fuel reserves, renewable energy potential and green hydrogen export demand.

An open-source lite techno-economic dataset for long term energy systems modelling in the Republic of South Africa. Includes data on electricity generation and demand, electricity imports and exports, power transmission and distribution, residual capacity, capacity factor, operational lifetime, and fixed, variable and capital costs of electricity generation technologies. It also contains estimates for renewable potential and fossil fuel reserves in South Africa.

This set of files consists of an OSeMOSYS model file and five separate scenarios exploring electricity trade across the Eastern Mediterranean and Middle East Region. Two sensitivity scenarios are also available.

This dataset presents the input and results for the study on the increase of Solar and Wind energy generation in the Brazilian Power System, as a way to achieve the NetZero by 2050. This study was conducted using the OSeMOSYS and Flextool as a deliverable of the Energy Modelling Platform for Latin America and The Caribbean Course - EMP-LAC 2023.

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.

Three clicSAND files for OSeMOSYS Modelling in Viet Nam. The three files depict three different scenarios:

1. Power Development Plan 7-based scenario

2. Power Development Plan 8-based scenario

3. Renewable Energy Development Strategy-based scenario

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 contains the LEAP and OSeMOSYS output data for the manuscript Karamaneas et al., submitted to Renewable & Sustainable Energy Transition in September 2022.

This slide deck helps you troubleshoot in OSeMOSYS. It goes through the main culprits behind failing models and how to fix them. These include 1) unintended edits to the SAND file during editing, 2) errors during model development, such as when adding technologies, changing time slices, etc., and 3) errors during scenario development which create logical contradictions, such as when adding and changing constraints.

Hands-on exercise 4 part of the Energy and Flexibility Modelling Course.

Hands-on exercise 3 part of the Energy and Flexibility Modelling Course.

A starter data kit for Chile

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

A starter data kit for Myanmar

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.