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16 results for “OSeMOSYS”
Data set for the integrated Climate, Land, Energy and Water systems modelling exercise RCLEWs in OSeMOSYS
<p>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.</p> <p>This is an update of version 01_210827 available at: https://doi.org/10.5281/zenodo.5293834</p>
Dominican_Republic_models_OSeMOSYS_EMPLAC23
<p>Data Set</p> <ol> <li> <table> <tbody> <tr> <td> <p><strong>BAU</strong></p> </td> <td> <p>Business As Usual</p> </td> <td> <p>The carbon generation is maintained, and the tendered energy projects are added.</p> </td> </tr> <tr> <td> <p><strong>NCP</strong></p> </td> <td> <p>No Coal Plant. Decarbonization of the sector after 2030. <strong>(Dominican_Republic_decarbonisation2025_2070)</strong></p> </td> <td> <p>The carbon generation will begin the reduction of coal plants from 2025 gradually until 2030</p> </td> </tr> <tr> <td> <p><strong>REE</strong></p> </td> <td> <p>Renewable Energy scenario. Energy From 2025 the demand will be supplied by Solar and Wind. <strong>(Dominican_Republic_REE_30)</strong></p> </td> <td> <p>From 2025, 30% of the demand will be supplied by Solar PV (60%) and Wind (40%).</p> </td> </tr> </tbody> </table> </li> </ol>
Comparing long-term power sector pathways in Viet Nam: a simple cost-optimization approach with OSeMOSYS
<p>Six clicSAND files for OSeMOSYS Modelling in Viet Nam. The six files depict six different scenarios:</p> <p>1. Power Development Plan 7-based scenario</p> <p>2. Power Development Plan 8-based scenario</p> <p>3. Renewable Energy Development Strategy-based scenario</p> <p>4. Renewables-Led Pathway-based scenario</p> <p>5. Net Zero</p> <p>6. Clean Efficient Transition</p> <p>The Reference Energy System (RES) is also included to represent the relationship between estimated energy demands, energy conversion technologies, fuel mixes, and the resources required to satisfy the demands in the study.</p>
Renewables Projection with Storage in the Brazilian Electricity Matrix using OSeMOSYS and Flextool - Dataset
<p>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.</p>
Uruguay_Models_OSeMOSYS_EMPLAC23
<p>Models used for Urguays´ case study in EMPLAC 2023 at Costa Rica</p>
The Long-term energy planning with highly detailed demand modelling for Egypt: an IOA-MAED-OSeMOSYS soft-linking approach
<p>These files contain an updated model built for Egypt's power system as of 2023, with detailed demand simulation in 3 different scenarios; business as usual, high economic growth and industrial energy efficiency.</p> <p>Also, a multi region model built for Egypt, Sudan and Ethiopia power sector technologies for future cooperation scenarios.</p>
Models and output datasets for OSeMOSYS Bolivia electricity system paper
<p>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.</p>
Data for the Eastern African power pool's energy systems model, developed in OSeMOSYS
<p>This repository consists of the following datasets</p> <p>1. EAPP_reference scenario_datafile.DD- This dataset is a model file that needs to be used with the code available in this <a href="https://github.com/KTH-dESA/OSeMOSYS/blob/master/OSeMOSYS_GNU_MathProg/osemosys_short.txt">GitHub</a> 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.</p> <p>2. Main article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the main article.</p> <p>3. Supplementary article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the supplementary article.</p>
Guatemala_models_OSeMOSYS_EMPLAC23
<p>Documents for the Guatemala Scenarios.</p> <p>Include</p> <ul> <li>Documents for the scenarios</li> </ul> <p> </p> <p>Guatemala_models_OSeMOSYS_EMPLAC23 </p>
Supporting Data and Guidance: Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS
<p>This repository contains data files and guidance documents that are supplementary materials to accompany the policy paper "Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS" available on Research Square here: <a href="https://www.researchsquare.com/article/rs-2702275/v1">https://www.researchsquare.com/article/rs-2702275/v1</a></p>
CCG: 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)
<p>Seven clicSAND scenario files for <strong>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).</strong> </p> <p><strong>How to Visualise Results Online and Offline</strong> outline the steps required to re-run the scenarios on OSeMOSYS Cloud</p> <p><strong>Scenario Short Note</strong> outlines the steps to replicate the analysis and rebuild the scenarios</p> <p><strong>Annex - Input Data and Assumptions</strong> listing the data sources and assumptions in the scenarios</p>
OSeMOSYS model file and alternative data files (i.e. scenarios) of electricity trade in the Eastern Mediterranean and Middle East (EMME) Region
<p>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.</p>
The BAU Scenario Clic Sand , R.E Scenario Clic Sand and an integrated BAU and R.E Visualization Results for Energy Policy for Uganda Using OSeMOSYS
<p>Business As Usual (BAU) Scenario , Renewable Energy (R.E) Scenario Clic Sand are used as data sets to run the model. The integrated BAU and R.E. visualization result templates contain the findings of the models. For instance, power generation graphs, installed energy capacity graphs, annual capital cost graphs, annual carbon dioxide emissions graphs , capital cost and any other parameters of interest related to the model can be found in the result visualization template.</p>
Data Collection Template linking MAED to OSeMOSYS
<p>Data Collection Template linking MAED to OSeMOSYS</p>
OSEMOSYS CAMEROON SCENARIOS
<p>OSEMOSYS CAMEROON SCENARIOS </p>
OSeMOSYS Base SAND Kit: Indonesia
<p>Excel Base SAND files in different scenarios for running on OSeMOSYS</p>
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