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.

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.

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 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.

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.

Guidelines for creating your first scenario with OSeMOSYS and ClicSand 3.0

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

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.

Visualization template designed to support analysis and plotting of scenarios using OSeMOSYS ClicSAND.

Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam. This includes data on electricity generation and consumption, electricity imports and exports, fuel prices, emissions, refineries, power transmission and distribution, electricity generation technologies, and renewable energy potential and reserves for the years 2015 to 2050.

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

A starter data kit for Egypt

A starter data kit for Indonesia

A starter data kit for Guinea-Bissau

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 South Sudan

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

Hands-on exercise 5 part of the Energy and Flexibility Modelling Course.

This dataset underpins the study "Synergies and conflicts of energy development and water security in Africa".

The study 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.

We developed a model to evaluate energy supply and water requirements to cover the energy needs of the African continent during the period 2015-2065. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS. The objective function is to minimise total energy system costs, rather than, for example, co-optimise the energy and water sectors. Other energy resources were also included in the model except for adding the water analysis, and the dataset was updated based on the latest available information. The OSeMOSYS model developed to conduct the study “Energy projections for African countries”, itself extended from the Electricity Model Base for Africa (TEMBA), was further extended, included exports for all fuels, water loss due to evaporation in hydropower plants and more scenarios examined. Furthermore, the latest available data on the energy system of Africa was also updated.

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 KTH-dESA/jrc_temba: TEMBA 2.1 (Version v2.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4889373 (Authors: Ioannis Pappis, Vignesh Sridharan, Will Usher, & Mark Howells. (2021).

The initial study was funded by the Joint Research Centre of the European Commission (contract number C936531 - JRC/PTT/2018/C.7/0038/NC).