Fault Detection and potimization of HVAC Systems at Operational Stage for Energy Conservation

暖通空调系统运行阶段的故障检测和优化以实现节能

• 批准号: 09650650
• 负责人: YOSHIDA Harunori
• 金额: $ 1.73万
• 依托单位: KYOTO UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09650650/
• 关键词: Air-Conditioning Systems; Fault Detection & Diagnosis; VAV Systems; ARX Model; Thermal Storage System; Simulation; Energy Conservation; 負荷予測; 最適運転制御; 故障検知; 故障診断; 故障発見; 最適運転

Attaining the reduction of CO2 emission and retrieving the same level of emission rate in 1990 is regarded as a prompt action to prevent global warming. Since the CO2 emission rate in the building sector is estimated about 1/3 of the Japanese total much effort done is indispensable.It has become clear that most of the CO2 emission in building sectors is due to operation but to construction of buildings, therefore, energy conservation is considered more important issue than before toward future. In this research several methodologies for energy conservation at the stage of HVAC system operation, which consumes a lot of energy, were developed investigated1) Automatic fault detection and diagnosis of VAV systems based on ARX model method was developed. The robustness and feasibility of the methods was tested by computer simulation and using the real data obtained from the R/D building of Toko Electric utility company.2) A new algorithm for prediction of heat load based on weather forecast and the collected past data measured at the building was developed and the usefulness was analyzed using field data from a real building.3) Optimum operation of thermal storage in terms of energy conservation was developed and the efficiency was investigated based on system simulation code like TRNSYS.The energy consumption of a university and its relation to weather conditions and the way of building use was investigated in terms of energy conservation.

减少二氧化碳排放量并恢复到1990年的排放水平被视为防止全球变暖的迅速行动。据估计，建筑领域的二氧化碳排放量约占日本总排放量的1/3，为此付出的努力是必不可少的。很明显，建筑领域的二氧化碳排放大部分是由于运营而非建筑物的建造而产生的，因此，未来节能被认为比以前更加重要。本研究开发了几种在消耗大量能源的暖通空调系统运行阶段节能的方法。1）开发了基于ARX模型方法的变风量系统自动故障检测和诊断。通过计算机模拟并使用从东光电力公司研发大楼获得的真实数据，测试了该方法的鲁棒性和可行性。2) 开发了一种基于天气预报和建筑物过去收集的测量数据的热负荷预测新算法，并使用真实建筑的现场数据分析了其有用性。3) 开发了热存储在节能方面的优化运行，并基于系统研究了效率 像TRNSYS这样的模拟代码。从节能角度研究了大学的能源消耗及其与天气条件和建筑使用方式的关系。

项目成果

H. Yoshida, Y. Goto: "Validation of Air-Conditioning Load Prediction Algorithm for Thermal Storage Systems using Field Data"Transactions of SHASE. No.73. 95-104 (1999)

H. Yoshida、Y. Goto：“使用现场数据验证热存储系统的空调负荷预测算法”SHASE 交易。

Kumar,S., Yoshida,H.: "Application and Analysis of FDD Technique using Recursive Identification Algorithm by adoptive Forgetting Through Multiple Models in Real Data Obtained from AHU VAV System" CERD Conference Proceedings. Vol.1. 530-539 (1998)

Kumar,S.，Yoshida,H.：“通过采用递归识别算法通过采用遗忘通过从 AHU VAV 系统获得的实际数据中的多个模型来应用和分析 FDD 技术”CERD 会议记录。

Yoshida,H.,Kumar,S.: "ARX and AFMM Model Based On-line Real-time Data Base Diagnosis of Sudden Fault in AHU of VAV system,Energy Conversion and Management" Energy Conversion and Management Pergamon Press. Vol.40(掲載予定). (1999)

Yoshida, H., Kumar, S.：“基于 ARX 和 AFMM 模型的变风量系统 AHU 突发故障在线实时数据库诊断，能源转换与管理” 能源转换与管理 Pergamon Press Vol.40（ （预定出版）（1999）。

Yoshida,H.and Kumar,S: "RARX Algorithm Based Model Development and Application to Real Time Date for On-line Fault Detection in VAV AHU Units"IBPSA Building Simulation '99. Vol.3. 161-168 (1999)

Yoshida,H. 和 Kumar,S：“基于 RARX 算法的模型开发和 VAV AHU 装置在线故障检测实时数据的应用”IBPSA 建筑模拟 99。

吉田治典、サンジャイクマール: "モデルを用いた空調システムのオンライン故障・診断手法の開発;実データを用いた解析"日本建築学会計画系論文集. No.525. 65-73 (1999)

Harunori Yoshida、Sanjay Kumar：“使用模型开发空调系统在线故障/诊断方法；使用实际数据进行分析”日本建筑学会规划学报第 525. 65-73 号（1999 年）。