<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation</dcterms:title><dcterms:identifier>https://doi.org/10.18130/V3/IKPFBV</dcterms:identifier><dcterms:creator>Bennett, Jeffrey</dcterms:creator><dcterms:creator>Fuhrman, Jay</dcterms:creator><dcterms:creator>Clarens, Andres</dcterms:creator><dcterms:publisher>University of Virginia Dataverse</dcterms:publisher><dcterms:issued>2019-05-28</dcterms:issued><dcterms:modified>2019-05-28T17:41:15Z</dcterms:modified><dcterms:description>This dataset includes the model and data used in "Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation" by Bennett et al., available at https://doi.org/10.1016/j.energy.2019.05.143&#xd;
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Data is provided in two parts: 1) solar panel modeling and 2) BLIS. Part 1 contains measured solar generation and demand data from the University of Virginia and python scripts to project solar generation with a n increased deployment of solar panels. Part 2 contains the python model blis (Balancing Load of Intermittent), a characteristic-based transient power plant model. Part 2 also contains the simulation scripts and generated results reported in the article.</dcterms:description><dcterms:subject>Engineering</dcterms:subject><dcterms:date>2019-03-11</dcterms:date><dcterms:contributor>Bennett, Jeffrey</dcterms:contributor><dcterms:dateSubmitted>2019-05-28</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>