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The use of sub-hourly primary meter data to identify electricity savings in municipal buildings

机译:使用亚小时一次电表数据来识别市政建筑中的节电情况

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摘要

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.
机译:通常会从欧洲国家的非住宅建筑物中收集不到每小时的用电量数据,但是关于如何分析这些数据的指南很少。描述了一种新的分析技术,该技术可以产生电力负荷分布指标,以帮助识别六种不同类型的81座市政建筑物的潜在节电情况:商业和公共办公室,图书馆和博物馆,体育中心,学校,社区中心和养老院/旅馆。这种方法与传统的能源管理分析技术不同,因为它使用半小时内的总用电量数据,而不是年度或月度数据。通过分析,可以检测建筑物的消耗曲线与该建筑物类型的典型曲线明显不同。这提供了系统快速的程序,以识别多个建筑物中潜在的节能机会。新方法引入了独立于能源管理者判断的标准统计技术,以帮助确定建筑物中的节能机会。

著录项

  • 来源
    《Energy efficiency》 |2014年第5期|879-889|共11页
  • 作者

    Vasco Ferreira; Paul Fleming;

  • 作者单位

    Department of Economics, Management and Industrial Engineering, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal;

    Institute of Energy and Sustainable Development, De Montfort University, The Gateway, Leicester LE1 9BH, UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Half-hourly energy data; Energy use; Baseload consumption;

    机译:半小时一次的能源数据;能源使用;基本负载消耗;

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