LEAF: Live Building Performance Evaluation Framework

Elena Markoska, S. Lazarova-Molnar
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引用次数: 6

Abstract

Buildings contribute to approx. 32% of the world’s energy consumption, and as such, are one of the prime producers of CO2 emissions. Given documented discrepancies between the designed and operational behaviour of buildings, concepts such as continuous commissioning and performance testing have emerged. Performance testing utilises metadata schemas and generic libraries of tests to increase applicability and customizability of real-time performance monitoring. In this paper we present LEAF: a Live building performance EvAluation Framework. LEAF has been developed as a result of an extensive survey with building management professionals, who gave insight into the preferences for management of various buildings. We present LEAF’s microservice-style architecture, to increase reusability of its processes by other building intelligence applications, and use it to develop a performance monitoring application for a case study building. Furthermore, the live streaming processing of building operational data has posed significant challenges to the application of LEAF. We discuss these challenges and offer directions for their solutions.
LEAF:现场建筑性能评估框架
建筑物贡献了大约。占世界能源消耗的32%,因此是二氧化碳排放的主要生产国之一。鉴于建筑物的设计和运行行为之间的差异,出现了诸如连续调试和性能测试之类的概念。性能测试利用元数据模式和通用测试库来提高实时性能监控的适用性和可定制性。在本文中,我们提出了LEAF:一个实时建筑性能评估框架。LEAF是在对建筑物管理专业人员进行广泛调查的基础上开发的,他们深入了解了各种建筑物的管理偏好。我们介绍了LEAF的微服务风格架构,以提高其他楼宇智能应用程序对其流程的可重用性,并使用它来开发用于案例研究楼宇的性能监控应用程序。此外,建筑运营数据的实时流处理对LEAF的应用提出了重大挑战。我们将讨论这些挑战,并为解决这些挑战提供方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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