基于“云”的AHU自动故障检测和诊断工具的测试结果

K. Bruton, D. Coakley, P. O'Donovan, M. Keane, D. O’Sullivan
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引用次数: 5

摘要

暖通空调(HVAC)系统能耗平均占工业基地总能耗的40%。研究表明,持续调试建筑系统以达到最佳效率,可以平均节省总能源成本的20%以上。自动故障检测和诊断(AFDD)可用于辅助多个阶段的调试过程。本文概述了利用专家规则开发AHU的AFDD工具。它概述了该工具在四个商业和工业场所的18个AHU上的alpha测试阶段的结果,通过AFDD工具检测到每年节省超过104,000欧元的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Results from testing of a “cloud based” automated fault detection and diagnosis tool for AHU's
Heating Ventilation and Air Conditioning (HVAC) system energy consumption, on average, accounts for 40% of an industrial site's total energy consumption. Studies have demonstrated that continuous commissioning of building systems for optimum efficiency can yield savings of an average of over 20% of total energy cost. Automated Fault Detection and Diagnosis (AFDD) can be used to assist the commissioning process at multiple stages. This paper outlines the development of an AFDD tool for AHU's using expert rules. It outlines the results of the alpha testing phase of the tool on 18 AHU's across four commercial & industrial sites with over €104,000 annual energy savings detected by the AFDD tool.
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