Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach
Harnessing smart meter data for a Multitiered Energy Management Performance Indicators (MEMPI) framework: A facility manager informed approach
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利用智能电表数据构建多层能源管理绩效指标 (MEMPI) 框架：设施经理知情方法
DOI：
10.1016/j.apenergy.2020.115435
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发表时间：
2020
期刊：
影响因子：
11.2
通讯作者：
Jain, Rishee K.
中科院分区：
文献类型：
--
作者：
Roth, Jonathan;Brown IV, Howard Alexander;Jain, Rishee K.
能源管理信息系统 (EMIS) 在提供建筑运营的可行见解、及时反馈以及最终实现大量节能方面发挥着关键作用。当前的 EMIS 技术通常侧重于工业应用，或需要大量的前期投资和训练有素的操作员，因此极大地限制了其对现有建筑的渗透。本文整合了社会科学、建筑科学和数据科学的方法，以了解当前 EMIS 系统的局限性，并为新的多层能源管理绩效指标 (MEMPI) 框架的设计提供信息，以表征建筑物的能源绩效。具体来说，我们采用了混合方法研究方法，首先对 10 名设施经理和能源顾问进行了深入的定性访谈。我们利用采访中的见解来设计 MEMPI 框架，该框架利用来自已安装的高级计量基础设施 (AMI)（即智能电表）的高度精细的数据。 MEMPI 框架采用分位数回归首先对建筑物的能源绩效进行基准测试并生成关键绩效指标 (KPI)。我们将 MEMPI 框架应用于加利福尼亚州 569 所公立学校建筑的真实数据，并在多个时间尺度（例如每日、每月、每年）测量它们的能源绩效。最后，我们进行案例研究，通过混合方法定性和定量访谈后调查，将 MEMPI 框架的见解与监督 8 所学校的设施经理的看法进行比较。案例研究的结果表明，设施经理对其学校绩效的看法在很大程度上是准确的，但建筑经理忽视了某些建筑设备和运行时间表的不良能源绩效。总体而言，MEMPI 框架旨在弥合数据驱动的能源管理模型与设施经理所掌握的定性领域知识之间的差距，以提供对建筑物能源绩效的更全面的见解。
Energy management information systems (EMIS) play a critical role in providing actionable insights into building operations, timely feedback, and—ultimately—large energy savings. Current EMIS technologies often focus on industrial applications or require large upfront investments and trained operators, therefore greatly limiting its penetration into existing buildings. This paper integrates methods from social, building, and data sciences to understand limitations of current EMIS systems and inform the design of a new Multitiered Energy Management Performance Indicators (MEMPI) framework for characterizing the energy performance of buildings. Specifically, we employed a mixed methods research approach in which we first conduct in-depth qualitative interviews of 10 facility managers and energy consultants. We utilize the insights from our interviews to inform the design of the MEMPI framework, which harnesses highly granular data from already installed advanced metering infrastructure (AMI) (i.e., smart meters). The MEMPI framework employs quantile regression to first benchmark the energy performance of buildings to each other and generate key performance indicators (KPIs). We apply the MEMPI framework to real data from 569 public school buildings in California and measure their energy performance across multiple time scales (e.g., daily, monthly, yearly). Finally, we conduct case studies to compare insights from the MEMPI framework to the perceptions of facility managers overseeing 8 schools through a mixed methods qualitative and quantitative post-interview survey. Results from the case study show that facility managers’ perceptions of the performance of their schools were largely accurate, yet the poor energy performance from certain pieces of building equipment and operating schedules was overlooked by building managers. Overall, the MEMPI framework aims to bridge the gap between data-driven energy management models and qualitative domain knowledge held by facility managers to provide more comprehensive insights into the energy performance of buildings.
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影响因子：
11.2
作者：
P. Thollander;Sandra Backlund;A. Trianni;E. Cagno
通讯作者：
P. Thollander;Sandra Backlund;A. Trianni;E. Cagno
影响因子：
6.7
作者：
Zheng Yang;J. Roth;Rishee K. Jain
通讯作者：
Zheng Yang;J. Roth;Rishee K. Jain
构建能源信息系统：成本、节省和最佳实践用途的综合
影响因子：
3.1
作者：
J. Granderson;Guanjing Lin
通讯作者：
Guanjing Lin
夹在中间：设施经理在组织能源使用中的角色
影响因子：
9
作者：
M. Goulden;A. Spence
通讯作者：
A. Spence
DOI：
10.7748/ns.29.32.41.e8858
发表时间：
2015-04-08
影响因子：
--
作者：
Halcomb, Elizabeth;Hickman, Louise
通讯作者：
Hickman, Louise