Building energy information systems: synthesis of costs, savings, and best-practice uses
Building energy information systems: synthesis of costs, savings, and best-practice uses
复制标题
构建能源信息系统：成本、节省和最佳实践用途的综合
DOI：
10.1007/s12053-016-9428-9
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发表时间：
2016
影响因子：
3.1
通讯作者：
Guanjing Lin
中科院分区：
文献类型：
--
作者：
J. Granderson;Guanjing Lin
建筑能源信息系统（EIS）是一种强大的面向客户的监测和分析技术，可以为建筑物节省高达20%的现场能源。很少有技术像环境信息系统这样被大量销售，但尽管它们具有潜力，环境信息系统仍然是一种未被充分采用的新兴技术。其中一个原因是缺乏有关采购成本和相关节能的信息。尽管有深刻的见解，但越来越多的个人案例研究并没有为行业提供建立投资商业案例所需的信息。能源和经济指标差异巨大，无法得出概括的结论。本文解决了关于EIS使用的三个常见问题：成本是什么，用户节省了什么，哪些最佳实践推动了更深层次的节省？我们基于来自二十多个组织的数据，对EIS使用的价值主张进行了大规模评估。参与者分别实现了17%和8%的年度站点和投资组合储蓄中位数；他们报告说，如果没有环境影响报告书，就不可能取得这样的成绩。EIS软件所有权的5年平均成本（前期和持续成本）被计算为每个监测点1800美元（千瓦计点是最常见的），投资组合范围内的实现规模中值约为200个点。在本文中，我们分析了关键实施因素与实现的能源减少之间的关系。节能项目的范围、安装环境影响信息系统之前的建筑能源性能、计量的深度和环境影响信息系统的持续时间与更大的节约密切相关。我们还确定了与更大的能源节约相关的环境影响信息系统的最佳实践。
Building energy information systems (EIS) are a powerful customer-facing monitoring and analytical technology that can enable up to 20 % site energy savings for buildings. Few technologies are as heavily marketed, but in spite of their potential, EIS remain an underadopted emerging technology. One reason is the lack of information on purchase costs and associated energy savings. While insightful, the growing body of individual case studies has not provided industry the information needed to establish the business case for investment. Vastly different energy and economic metrics prevent generalizable conclusions. This paper addresses three common questions concerning EIS use: what are the costs, what have users saved, and which best practices drive deeper savings? We present a large-scale assessment of the value proposition for EIS use based on data from over two-dozen organizations. Participants achieved year-over-year median site and portfolio savings of 17 and 8 %, respectively; they reported that this performance would not have been possible without the EIS. The median 5-year cost of EIS software ownership (up-front and ongoing costs) was calculated to be $1800 per monitoring point (kilowatt meter points were most common), with a median portfolio-wide implementation size of approximately 200 points. In this paper, we present an analysis of the relationship between key implementation factors and achieved energy reductions. Extent of efficiency projects, building energy performance prior to EIS installation, depth of metering, and duration of EIS were strongly correlated with greater savings. We also identify the best practices use of EIS associated with greater energy savings.