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

利用智能电表数据和建筑类型来减少多伦多目标客户的高峰负荷用电量

• 批准号: 485239-2015
• 负责人: Richman, Russell
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584814
• 关键词: Instrumenting; use; Smart; Meter; data

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.

根据安大略政府，多伦多水电系统（THES）有限公司目前正在完成智能 为730，000户住宅用户安装水表。智能电表鼓励电力使用的转变， 通过分时使用定价的低需求时间。考虑到智能计量计划的成本和范围， 然而，重要的是要考虑价格层次差异以外的方式， 以使包括电力客户在内的利益相关者受益。因此，拟议项目将发展 一种能够评估住宅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，并优先考虑和瞄准“低挂” “水果”的峰值负荷降低。为了实现这一目标，建筑物理学的创新技术 原则（例如，总热损失系数、时间常数热损失）以及一般建筑物特性 (e.g.,建筑物的年龄）将被用于使智能电表数据情境化。