Instrumenting the use of Smart Meter data and building typology to reduce peak load electricity use for targeted customers in Toronto

根据安大略省政府，多伦多水电系统(THES)有限公司目前正在完成SMART 为其730,000住宅客户安装电表。智能电表鼓励用电转变为 通过分时计价的低需求次数。鉴于智能计量计划的成本和范围， 然而，重要的是要考虑除价格层差异之外的其他方式，这项技术可以 杠杆作用，使包括电力客户在内的利益相关者受益。因此，拟议的项目将发展 一种能够评估居民用电量最重要决定因素的工具， 从而使THES能够更好地利用其庞大的智能电表数据集，并确定优先顺序和目标 “水果”方面的高峰负荷减少。为了实现这一点，来自建筑物理的创新技术 原理(例如，总热损失系数、时间恒定热损失)以及一般建筑特征 (例如，楼龄)将被用来对智能电表数据进行上下文处理。

Per the Government of Ontario, Toronto Hydro-Electric System (THES) Limited is currently completing smart meter installation for its 730,000 residential customers. Smarts meters encourage shifts in electricity usage to times of low demand via time-of-use pricing. Given the cost and scope of the Smart Metering Initiative it is, however, important to consider ways other than price-tier differentials in which this technology can be leveraged to benefit stakeholders, including electricity customers. The proposed project will therefore develop an instrument capable of evaluating the most important determinants of residential electricity consumption, thereby enabling THES to better utilize their vast smart meter dataset, and to prioritize and target 'low hanging fruit' with respect to peak load reduction. To achieve this, innovative techniques from building physics principles (e.g., overall heat loss coefficient, time constant heat loss) as well as general building characteristics (e.g., age of building) will be used to contextualize smart meter data.