The use of sub-hourly primary meter data to identify electricity savings in municipal buildings
The use of sub-hourly primary meter data to identify electricity savings in municipal buildings
复制标题
使用每小时一次的主电表数据来确定市政建筑的节电情况
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Fleming
中科院分区：
文献类型：
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作者：
Vasco Ferreira;P. Fleming
在欧洲国家，非住宅建筑物经常收集每小时以下的用电量数据，但关于如何分析这些数据的指导意见很少。描述了一种新的分析技术，该技术可生成电力负荷曲线指标，以帮助确定六种不同类型的81座市政建筑的潜在节电量：商业和公共办公室、图书馆和博物馆、体育中心、学校、社区中心和疗养院/旅馆。这种方法与传统的能源管理分析技术不同，因为它使用半小时周期的总用电量数据，而不是年度或月度数据。通过分析，能够检测出消费情况与该建筑类型的典型情况有显著差异的建筑物。这提供了一个系统和快速的程序，以确定潜在的节能机会，在多个建筑物。新方法引入了一种标准的统计技术，独立于能源管理人员的判断，以帮助确定建筑物的节能机会。
Sub-hourly electricity consumption data is being routinely collected from non-domestic buildings in European countries, yet there is little published guidance on how to analyse this data. A new analysis technique is described that produces electricity load profile indicators to help identify potential electricity savings from 81 municipal buildings of six different types: commercial and public offices, libraries and museums, sport centres, schools, community centres and care homes/hostels. This approach is different from conventional energy management analysis techniques since it uses total electricity consumption data in half-hourly periods rather than annual or monthly data. The analysis enabled the detection of buildings with consumption profiles that differ significantly from the typical profile for that building type. This provided a systematic and rapid procedure to identify potential energy saving opportunities in multiple buildings. The new approach introduces a standard statistical technique, independent of energy manager judgement, to help identify energy saving opportunities in buildings.