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Comparative analysis of the AHU InFO fault detection and diagnostic expert tool for AHUs with APAR

机译：具有APAR的AHU的AHU InFO故障检测和诊断专家工具的比较分析

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The contribution of buildings towards total worldwide energy consumption in developed countries is between 20 and 40 %. This is expected to rise by an average rate of 1.5 % per annum over the next 20 years. Heating ventilation and air conditioning (HVAC) and more specifically air handling units (AHUs) energy consumption accounts on average for 40 % of an industrial site’s energy consumption. Building systems rarely perform as well in practice as anticipated during design due to improper equipment selection or installation, lack of commissioning, or improper maintenance to cite but a few reasons. Studies have indicated that 20–30 % energy savings are achievable by recommissioning HVAC systems, and more specifically AHU operations, to rectify faulty operation. Automated Fault Detection and Diagnosis (AFDD) is a process concerned with potentially automating the commissioning process through the detection of faults. This paper seeks to illustrate the effectiveness of a new rule-based expert system developed for AHUs known as “AHU InFO” when compared to the Air Handling Unit Performance Assessment Rules (APAR). AHU InFO has proven to be more effective than APAR in tests against both derived and field test data on a variety of AHU types. In tests against 52 derived faults, AHU InFO identified all 52 issues whereas the APAR identified just ten primarily due to a lack of instrumentation negating the use of many of its constituent rules. In comparisons against field test data, the comparison sought to highlight the developments implemented in AHU InFO with these tests showing that the AHU InFO outperformed APAR in each category tested.
机译：在发达国家，建筑物对全球总能耗的贡献在20％到40％之间。预计在接下来的20年中，这将以每年1.5％的平均速度增长。采暖通风和空调（HVAC）以及更具体地说是空气处理单元（AHU）的能耗平均占工业场所能耗的40％。由于设备的选择或安装不当，缺乏调试或援引的维护不当，建筑系统在实践中很少能达到设计过程中预期的性能，但原因有很多。研究表明，通过重新启动HVAC系统（更具体地说是AHU操作）来纠正故障操作，可以节省20-30％的能源。自动故障检测和诊断（AFDD）是与通过检测故障来潜在地使调试过程自动化有关的过程。本文旨在说明与空气处理机组性能评估规则（APAR）相比，针对AHU开发的基于规则的新专家系统的有效性，该系统称为“ AHU InFO”。在针对各种AHU类型的派生数据和现场测试数据进行的测试中，AHU InFO已被证明比APAR更有效。在针对52个派生故障的测试中，AHU InFO确定了所有52个问题，而APAR仅确定了10个问题，这主要是由于缺乏缺少仪器而无法使用许多组成规则的原因。在与现场测试数据进行比较时，该比较试图突出显示AHU InFO中实现的发展，这些测试表明，在每个测试类别中，AHU InFO的性能均优于APAR。

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