q_funcs.npy from A methodology to assess the economic impact of power storage technologies

We present a methodology for assessing the economic impact of power storage technologies. The methodology is founded on classical approaches to the optimal stopping of stochastic processes but involves an innovation that circumvents the need to, ex ante, identify the form of a driving process and works directly on observed data, avoiding model risks. Power storage is regarded as a complement to the intermittent output of renewable energy generators and is therefore important in contributing to the reduction of carbon-intensive power generation. Our aim is to present a methodology suitable for use by policy makers that is simple to maintain, adaptable to different technologies and easy to interpret. The methodology has benefits over current techniques and is able to value, by identifying a viable optimal operational strategy, a conceived storage facility based on compressed air technology operating in the UK.我们提出了一套用于评估储能技术经济影响的研究方法。该方法基于随机过程最优停时的经典研究路径，但引入了一项创新改进：无需事前确定驱动过程的具体形式，可直接基于观测数据开展分析，从而规避模型风险。储能可作为可再生能源发电机组间歇性出力的补充手段，因此对于降低高碳排放发电占比具有重要价值。本研究旨在提出一套适配政策制定者使用的研究方法，该方法易于维护、可适配多种技术场景且便于解读。相较于现有技术手段，该方法具备显著优势：通过识别可行的最优运行策略，可对英国境内构思的、采用压缩空气储能技术的储能设施进行估值。