an open-source, open-data model generator for creating global electricity system models

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

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.

All of the Data_Prep Files for the 2024 Update of the OSeMOSYS Open University Course, using the User Interface instead of ClicSAND.

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

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.

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

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

Techno-economic data and assumptions for long-term energy systems modelling in Botswana. 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.

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

A starter data kit for Egypt

These documents provide a tutorial of translating a hypothetical policy into constraints in clicSAND. The policy involves setting a target for the generation of certain renewable energy sources to reach 50% from 2040 onwards.

Excel spreadsheet file with input data for the OSeMOSYS energy system optimization model of the U.S. electricity sector featured in the paper "U.S. electricity infrastructure of the future: Generation and transmission pathways through 2050" by Gopika Jayadev, Benjamin D. Leibowicz, and Erhan Kutanoglu of The University of Texas at Austin. All input data come from publicly available data sources, as indicated on the first sheet titled "Data Source."

A starter data kit for Indonesia

A starter data kit for Djibouti

A starter data kit for Cameroon

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.

A starter data kit for Zambia

This file is the Base SAND file for South America with coal and natural gas. 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.