PLEXOS-World 2015https://doi.org/10.7910/DVN/CBYXBYBrinkerink, MaartenDeane, PaulHarvard Dataverse2020-02-252021-03-10T05:29:54ZThis dataset includes the model data of a calibrated version of PLEXOS-World based on the 2015 calendar year. It furthermore includes supplementary material to the journal article titled 'Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data' that describes the model development and calibration process. The detailed global electricity model is capable of simulating the dispatch of over 30,000 existing power plants spread out over 164 countries and 258 regions, all using public data. The data includes the full model in PLEXOS format and in raw data format including all its input data to be able to recreate the model in a range of other modelling tools. Next to the power plant portfolio, the openly available input data consists of among others hourly demand profiles for all globally modeled countries, plant specific capacity factor profiles for renewables and a full global set of existing cross-border transmission capacities between countries and regions. Use of the data/model is upon citation of the journal paper and dataset following the underneath CC license without further restrictions. _____________________________________________________________________________________ <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" href="http://purl.org/dc/dcmitype/Dataset" property="dct:title" rel="dct:type">PLEXOS-World 2015</span> by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Maarten Brinkerink and Paul Deane</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.<br />Based on a work at <a xmlns:dct="http://purl.org/dc/terms/" href="https://doi.org/10.1016/j.esr.2020.100592" rel="dct:source">https://doi.org/10.1016/j.esr.2020.100592</a>.Computer and Information ScienceEarth and Environmental SciencesEngineeringBrinkerink M, Gallachóir BÓ, Deane P (2021). Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data. Energy Strategy Reviews 33: 100592. doi: 10.1016/j.esr.2020.100592, doi, 10.1016/j.esr.2020.100592, https://doi.org/10.1016/j.esr.2020.1005922020-02-25Brinkerink, Maarten2020-02-24This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: