Upside

我们的研究将分为三个部分。首先，我们将对英国发电中的二氧化碳强度进行最先进的统计建模。这将为二氧化碳密集型燃料(主要是煤炭和天然气)的使用提供强大的统计表示，同时考虑到季节性和日内波动。第二，我们将开发一种方法来生成每日碳强度分布预测(针对平均水平和统计变化)。第三，我们将开发控制算法来生成针对最低碳强度优化的UPS充电时间表。这将提供旨在通过考虑上述统计模型来最小化UPS车队充电产生的二氧化碳的提前一天时间表。上述统计模型和生成的控制政策也将作为其开源方法的一部分在上面发布。增加了向公众提供的丰富的实时英国电网数据。

Our research will have three parts. First we will perform state of the art statistical modelling of CO2 intensity in UKelectricity generation. This will provide powerful statistical representations of daily variation in the use of CO2 intensivefuels (principally coal and gas), taking into account both seasonal and within-day fluctuations.Second, we will develop a method to generate daily carbon intensity profile predictions (for both average level andstatistical variation).Third, we will produce a control algorithm to generate UPS recharging schedules optimised for the lowest carbon intensity.This will provide day-ahead schedules which aim to minimise the CO2 produced in recharging the UPS fleet, by taking intoaccount the abovementioned statistical models.The above statistical models and generated control policies will also be published by Upside as part of their open sourceapproach, adding to the rich real-time UK grid data available to the public.