Estimation of Marginal CO2 Emission Factors in Germany 2017

This data set covers total load, hourly generation and electric efficiency of power plants >100MW in Germany 2017. Based on this data, the four jupyter-notebooks derive average carbon dioxide emissions factors for each hour and marginal emission factors for twenty load levels. The third script contains a case study for scheduling battery electric vehicles based on short-term forecasts of marginal emission factors.

本数据集涵盖2017年德国所有装机容量大于100兆瓦（MW）的发电厂的总负荷、小时发电量及发电效率。基于该数据，四篇Jupyter笔记本（Jupyter-notebooks）可推导得出各小时的平均二氧化碳排放因子，以及二十个负荷水平对应的边际排放因子。第三篇脚本包含一项案例研究，内容为基于边际排放因子的短期预测来调度纯电动汽车（battery electric vehicles）。