Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation

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

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.

这个数据集包含Bennett等人在《高太阳能渗透率电网中使用超临界二氧化碳涡轮机（supercritical CO₂ Turbines）平衡负荷的可行性》一文中所用的模型与数据，该文章可通过https://doi.org/10.1016/j.energy.2019.05.143获取

数据分为两部分：1）太阳能电池板建模；2）BLIS。第一部分包含弗吉尼亚大学的实测太阳能发电量与需求数据，以及用于预测太阳能电池板部署量增加时发电量的Python脚本。第二部分包含BLIS模型（Balancing Load of Intermittent，即间歇性负荷平衡模型）——一个基于特性的暂态发电厂模型，还包含仿真脚本及文章中报告的生成结果。