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Assessment of Building Intelligence Requirements for Real Time Performance Testing in Smart Buildings

机译:评估智能建筑中实时性能测试的建筑智能要求

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Buildings contribute with 32% to the world's overall energy consumption. Given documented discrepancies between the design and operation of buildings, concepts such as continuous commissioning and performance testing (PTing) have emerged. To increase the applicability and customizability of real-time performance monitoring, PTing frameworks utilize metadata schemas and generic libraries of tests. However, real-time PTing requires enhanced instrumentation in the building, such as meters and sensors. Considering the usage and age of buildings, different buildings impose more stringent requirements for sensing equipment in terms of applicability of PTing. Prior work establishes a framework for automatic discovery of performance tests, and their continuous execution without human intervention. In this paper, we provide an algorithm for automatic estimation of the Smart Readiness Indicator (SRI), a metric for measuring the technological readiness of a building proposed by the European Commission. In line with our PTing framework, we estimate a minimal SRI for PTing to be 23%, implying high applicability across a variety of buildings. We evaluate a case study building for its SRI and perform sensitivity analyses of the SRI specific requirements against the PT-SRI.
机译:建筑物占全球总能耗的32%。鉴于已记录的建筑物设计和运营之间的差异,出现了诸如连续调试和性能测试(PTing)之类的概念。为了提高实时性能监控的适用性和可定制性,PTing框架利用元数据架构和测试的通用库。但是,实时PTing需要增强建筑物中的仪表,例如仪表和传感器。考虑到建筑物的使用和年龄,不同建筑物对PTing的适用性对传感设备提出了更严格的要求。先前的工作建立了自动发现性能测试的框架,并且无需人工干预即可连续执行它们。在本文中,我们提供了一种用于自动评估智能就绪指示器(SRI)的算法,该算法是由欧洲委员会提出的一种用于衡量建筑物技术就绪性的度量。根据我们的PTing框架,我们估计PTing的最小SRI为23%,这意味着在各种建筑物中都具有很高的适用性。我们评估其SRI的案例研究,并针对PT-SRI对SRI的特定要求进行敏感性分析。

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