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Tools for Evaluating Fault Detection and Diagnostic Methods for Air-Handling Units 评估空气处理机组故障检测和诊断方法的工具
空气处理机组(AHU)将一次加热和冷却设备与建筑区域连接起来,控制建筑通风进气口,并极大地影响加热、冷却和通风所消耗的能量,以及送风温度和湿度水平。AHU的运行对建筑能源使用、健康和舒适性方面有重大影响。能够为常用AHU配置生成运行数据的动态AHU仿真模型将有助于进一步研究AHU控制和运行,以及故障检测和诊断。在本研究中,使用美国国家标准与技术研究所开发的HVACSIM+软件,对一台AHU和AHU服务的四个建筑区域的动态行为进行建模。该模型(以下称为1312模型)是基于之前的两个ASHRAE项目(RP 825和RP 1194)开发的。然而,本研究进行了重大修改,包括新的参数、控制策略和组件模型,即新的盘管阀模型和新的风扇能量模型,以确保1312模型模拟试验设施中系统的动态行为。 新的螺旋阀模型考虑了三通阀的非线性行为。新的风扇能量模型输出风扇能量消耗,包括风扇、皮带、电机和VFD的能量消耗。新风扇能量模型的系数可直接从风扇总能量测量值中估算。利用实验数据系统地验证了无故障运行的AHU和1312模型。设计了使用主要来自公共系统操作的实验数据验证模型的策略。如果使用系统运行数据发现问题,则使用后续组件模型校准来修改和改进模型。设计并实施了一系列实验,以获得供气管道系统和混合箱阻尼器的耐压参数。利用冬季、夏季和春季的建筑运行数据验证1312模型。 1312 AHU模型的实验数据和模拟输出之间取得了良好的一致性,尤其是在夏季和冬季。当使用1312模型模拟春季条件下的空气处理机组运行时,在跟踪实验数据的同时,模拟的室外和送风流量以及送风温度显示出一定程度的振荡。本项目确定了空气处理机组的常见故障,包括其特征和严重程度。收集了可用于在无故障和故障运行条件下验证1312 AHU模型的现有实验数据。此外,还进行了其他实验,以在无故障和故障运行条件下彻底验证1312 AHU模型。故障模型能够复制所有主要故障症状,尽管模拟数据和测量数据之间的详细动态并不总是重叠。还开发了用户友好的界面,使1312模型能够与第三方AFDD工具一起工作,并允许用户最大限度地灵活选择各种故障和系统配置。
An air handling unit (AHU) connects primary heating and cooling plants with building zones, controls building ventilation air intake, and greatly affects the energy consumed for heating, cooling, and ventilating, as well as supply air temperature and humidity levels. An AHU's operation significantly impacts building energy use, health, and comfort aspects. A dynamic AHU simulation model that is capable of producing operational data for commonly used AHU configurations will assist further research in AHU control and operation, as well as fault detection and diagnosis.In this study, dynamic behaviors of an AHU and four building zones that are served by the AHU are modeled using HVACSIM+ software developed by the National Institute of Standards and Technology. The model (called 1312 model hereafter) is developed based on two previous ASHRAE projects (RP 825 and RP 1194). However, significant modifications, including new parameters, control strategies, and component models, which are a new coil valve model and a new fan energy model, are developed in this study to ensure that the 1312 model simulates the dynamic behavior of the systems in the test facility. The new coil valve model considers nonlinear behaviors of a three way valve. The new fan energy model outputs fan energy consumption that includes energy consumptions for fan, belt, motor and VFD. Coefficients for the new fan energy model can directly be estimated from the total fan energy measurement.The developed 1312 AHU model is then systematically validated using experimental data for both fault free and faulty operation. Strategies to validate the model using experimental data mostly from common system operations are designed. If problems were identified using system operation data, follow up component model calibration is used to modify and improve the model. A series of experiments are designed and implemented to obtain pressure resistance parameters for the supply duct system and mixing box dampers. Building operation data from winter, summer, and spring seasons are used to validate the 1312 model. Good agreements are achieved between experimental data and simulation outputs for the 1312 AHU model, especially for summer and winter seasons. When using 1312 model to simulate AHU operation for spring season conditions, simulated outdoor and supply air flow rates and supply air temperature, while tracking experimental data, showed certain level of oscillation.Common AHU faults, including their features and severities, are identified in this project. Existing experimental data that can be used to validate the 1312 AHU model under fault free and faulty operation conditions are collected. Additional experiments are performed to thoroughly validate the 1312 AHU model under both fault free and faulty operation conditions. The fault models are able to replicate all major fault symptoms although detailed dynamics between simulated data and measured data do not always overlap.User-friendly interfaces that enable the 1312 model to work with a third party AFDD tool, and to allow users the maximum flexibility to select various faults and system configurations are also developed.
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