PLEXOS-World 2015doi:10.7910/DVN/CBYXBYHarvard Dataverse2020-02-256Brinkerink, Maarten; Deane, Paul, 2020, "PLEXOS-World 2015", https://doi.org/10.7910/DVN/CBYXBY, Harvard Dataverse, V6, UNF:6:fyT1L5t+sHlvSHolxelaVg== [fileUNF]PLEXOS-World 2015doi:10.7910/DVN/CBYXBYBrinkerink, MaartenDeane, PaulHarvard DataverseBrinkerink, MaartenBrinkerink, Maarten2020-02-24Computer and Information ScienceEarth and Environmental SciencesEngineeringThis 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>.Brinkerink 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.2020.100592This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: Brinkerink 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.2020.10059210.1016/j.esr.2020.100592Brinkerink 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.2020.100592All Demand UTC 2015.tab8760271text/tab-separated-valuesUNF:6:XLMjg7njXxrKDBCKIuxGvA==Hourly demand profiles for all modeled countries and sub-country regions. Approximately 50% of profiles are based on historical data retrieved through system operators and other entities. See the supplementary material document and the main journal paper for more details.Hydro_Monthly_Profiles (15 year average).tab742013text/tab-separated-valuesUNF:6:5+PmchM9cs034t5l7a7pOA==Monthly Capacity Factor profiles for all hydro power plants globally based on a 15 year generation average with historical country-level generation data as benchmark. Values are not calibrated with PLEXOS-World modelling output.Hydro_Monthly_Profiles (2015).tab726613text/tab-separated-valuesUNF:6:ZKoiqlgYgyYMWQwVXcSZcQ==Monthly Capacity Factor profiles for all hydro power plants globally based on the 2015 calendar year. Adjusted values based on latest PLEXOS-World 2015 model calibration with historical 2015 country-level generation IRENA data as benchmark.PLEXOS-World 2015 Gold V1.1.tab15text/tab-separated-valuesUNF:6:CPBa0CYa9hcFFTTnybW/UQ==PLEXOS-World 2015 model in raw data format. As part of the model data, this file includes among others all global power plant capacities as well as existing NTC transmission capacities between countries and sub-country regions as of 2015. See the supplementary material document and the main journal paper for more detail. The most important sheets in the file are the 'Objects' sheet (includes all modeled objects), the 'Memberships' sheet (defines interrelationships between objects), the Attributes sheet (among others includes geolocations of objects) and the properties sheet (includes all quantified property values of objects).renewables.ninja.Csp.output.full.adjusted.tab876074text/tab-separated-valuesUNF:6:379x6RBAWI8FgVtc7etiHg==The profiles as in 'renewables.ninja.Csp.output.full.csv' are adjusted at country-level so that the capacity weighted average yearly capacity factors equal reported historical 2015 generation values following IRENA statistics. These profiles are the main profiles used in the PLEXOS-World model.renewables.ninja.Csp.output.full.tab876074text/tab-separated-valuesUNF:6:8t6Jw/qa3oxyll35EVRTNg==Hourly CSP storage inflow profiles for existing CSP plants globally as of 2015. The profiles are simplified and are constructed as follows. Raw profiles for Solar-PV for the specific location of the CSP plant are extracted from renewables.ninja. 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material for manuscript titled 'Building and Calibrating a Country-Level Detailed Global Electricity Model Based on Public Data'. Includes more detailed descriptions of data assumptions and provides a comprehensive global dataset/overview of global hourly electricity demand profiles and cross-border transmission capacities.application/vnd.openxmlformats-officedocument.wordprocessingml.documentPLEXOS-World 2015 Gold V1.1.xmlPLEXOS-World 2015 model in PLEXOS readable format.text/xmlrenewables.ninja.Solar.farms.output.full.adjusted.csvThe raw renewables.ninja solar-pv profiles as in 'renewables.ninja.Solar.farms.output.full.csv' are adjusted at country-level so that the capacity weighted average yearly capacity factors equal reported historical 2015 generation values following IRENA statistics. These profiles are the main profiles used in the PLEXOS-World model. Profiles are provided at plant level but also at a nodal/country capacity weighted average (Defined as 'Country_Sol_Capacity Scaler e.g. ZMB_Sol_Capacity Scaler).text/csvrenewables.ninja.Solar.farms.output.full.csvRaw hourly capacity factor profiles for 2015 as extracted from https://www.renewables.ninja/ for the locations of known existing solar-pv power plants around the world (as included within the WRI Global Power Plant Database). Profiles are provided at plant level but also at a nodal/country capacity weighted average (Defined as 'Country_Sol_Capacity Scaler e.g. ZMB_Sol_Capacity Scaler).text/csvRenewables.ninja.wind.output.Full.adjusted.csvThe raw renewables.ninja on- and offshore profiles as in 'Renewables.ninja.wind.output.Full.csv' are adjusted at country-level so that the capacity weighted average yearly capacity factors equal reported historical 2015 generation values following IRENA statistics. These profiles are the main profiles used in the PLEXOS-World model. Profiles are provided at plant level but also at a nodal/country capacity weighted average (Defined as 'Country_Win_Capacity Scaler e.g. ZMB_Win_Capacity Scaler).text/csvRenewables.ninja.wind.output.Full.csvRaw hourly capacity factor profiles for 2015 as extracted from https://www.renewables.ninja/ for the locations of known existing on- and offshore wind power plants around the world (as included within the WRI Global Power Plant Database). Profiles are provided at plant level but also at a nodal/country capacity weighted average (Defined as 'Country_Win_Capacity Scaler e.g. ZMB_Win_Capacity Scaler).text/csv