Smart fault detection and diagnosis for heat pump systems
2015 (Engelska)Ingår i: Refrigeration Science and Technology, International Institute of Refrigeration, 2015, s. 3703-3710Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
This paper introduces a holistic approach to develop a Smart Fault Detection and Diagnosis (SFDD) system which can be integrated and widely used in both old and new heat pump systems worldwide. A SFDD acts as the heart of smart heat pump system. It is able to minimize the installation and control errors, couple or decouple the renewable energy sources, make load-shifting possible, detect the performance degradation during operation, avoid unnecessary visual inspections and components replacement, and reduce the maintenance cost and down-time of the system. In order to determine the most important faults in the heat pump system, a comprehensive study is done on the faults reported to both OEMs and a main insurance company in Sweden and the results are briefly presented. The paper also discusses how a knowledge-based Smart Fault Detection and Diagnosis unit should be designed to support the heat pump systems at commissioning, operation, and maintenance phases.
Ort, förlag, år, upplaga, sidor
International Institute of Refrigeration, 2015. s. 3703-3710
Nyckelord [en]
Diagnosis, Fault, Fault detection, Heat pump, Smart, Faulting, Heat pump systems, IIR filters, Insurance, Knowledge based systems, Pumps, Refrigeration, Renewable energy resources, Fault detection and diagnosis, Heat pumps, Holistic approach, Insurance companies, Performance degradation, Renewable energy source, Visual inspection
Nationell ämneskategori
Energiteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-207220DOI: 10.18462/iir.icr.2015.0108Scopus ID: 2-s2.0-85016751681ISBN: 9782362150128 (digital)OAI: oai:DiVA.org:kth-207220DiVA, id: diva2:1117899
Konferens
24th IIR International Congress of Refrigeration, ICR 2015, 16 August 2015 through 22 August 2015
Anmärkning
QC 20170629
2017-06-292017-06-292024-03-18Bibliografiskt granskad