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Field Testing of Component-Level Model-Based Fault Detection Methods for Mixing Boxes and VAV Fan SystemsPeng Xu and Philip Haves, Lawrence Berkeley National Laboratory KeywordsAbstractAn automated fault detection and diagnosis tool for HVAC systems is being developed, based on an integrated, life-cycle, approach to commissioning and performance monitoring. The tool uses component-level HVAC equipment models implemented in the SPARK equation-based simulation environment. The models are configured using design information and component manufacturers’ data and then fine-tuned to match the actual performance of the equipment by using data measured during functional tests of the sort using in commissioning. This paper presents the results of field tests of mixing box and VAV fan system models in an experimental facility and a commercial office building. The models were found to be capable of representing the performance of correctly operating mixing box and VAV fan systems and detecting several types of incorrect operation. PaperDownload this paper as pdf: 23_528.pdf Panels of the 2002 ACEEE Summer Study on Energy Efficiency in BuildingsPanel 2. Residential Buildings: Program Design and Implementation Panel 4. Commercial Buildings: Program Design and Implementation Panel 6. Market Transformation Panel 7. Information and Electronic Technologies: Promises and Pitfalls Panel 8. Human and Social Dimensions of Energy Use: Understanding Markets and Demand | CalendarGreen ICT for growth and sustainability? Linking science and policy 03 – 08 Jun 201238th IEEE Photovoltaic Specialist Conference 04 Jun 2012Call for papers MILEN 2012 08 Jun 2012Call for Abstracts - International workshop on energy efficiency for a more sustainable world 12 – 14 Jun 2012IEPEC - International Energy Program Evaluation Conference 15 Jun 2012Call for papers - IIASA Conference 2012. Worlds within reach: from science to policy 20 Jun 2012Energy futures and civil society in the EU - building a low carbon alliance |