面向智能建筑实时性能测试的建筑智能化需求评估

Elena Markoska, Nebojša Jakica, S. Lazarova-Molnar, Mikkel K. Kragh
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引用次数: 9

摘要

建筑占世界总能耗的32%。鉴于建筑设计和运行之间的差异,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框架利用元数据模式和通用测试库。然而,实时PTing需要建筑物中增强的仪器仪表,例如仪表和传感器。考虑到建筑物的使用和楼龄,不同的建筑物在PTing的适用性方面对传感设备的要求更为严格。先前的工作建立了一个框架,用于自动发现性能测试,并在没有人为干预的情况下持续执行测试。在本文中,我们提供了一种自动估计智能准备指标(SRI)的算法,这是一种衡量欧盟委员会提出的建筑物技术准备程度的度量。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中的高适用性。我们为其SRI评估案例研究构建,并针对PT-SRI执行SRI特定需求的敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Building Intelligence Requirements for Real Time Performance Testing in Smart Buildings
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.
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