Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Condition Monitoring for Air Filters in HVAC systems with variable volume flow

 
: Gnepper, Oliver; Enge-Rosenblatt, Olaf

:
Poster urn:nbn:de:0011-n-6350470 (353 KByte PDF)
MD5 Fingerprint: 0f00b0965be0c78bfaa7db14a7089a83
Erstellt am: 22.5.2021

Volltext urn:nbn:de:0011-n-635047-12 (246 KByte PDF)
MD5 Fingerprint: b04900827e829ac5730c621488ad70cf
(CC) by-nc-nd
Erstellt am: 22.5.2021


Klein, C. ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
10th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2021. Proceedings : April 28-30, 2021, Online Streaming, held in conjunction with ICEIS 2021, VEHITS 2021 and CLOSER 2021
Setubal: SciTePress, 2021
ISBN: 978-989-758-512-8
S.102-109
International Conference on Smart Cities and Green ICT Systems (SMARTGREENS) <10, 2021, Online>
International Conference on Enterprise Information Systems (ICEIS) <23, 2021, Online>
International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) <7, 2021, Online>
International Conference on Cloud Computing and Services Science (CLOSER) <11, 2021, Online>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
Strategieplan für Energietechnologie (SET-Plan) der EU-Energieoptimiertes Bauen (EnOB); 003ET1569; BIMLIFE
BIM-BASED LIFE CYCLE MANAGEMENT FOR ENERGY-OPTIMIZED BUILDINGS, Teilvorhaben: Datenanalyse, Modellbildung und Optimierung
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()
condition monitoring; data analytics; HVAC system; Air filter; Smart Building

Abstract
State of the art condition monitoring systems for air filters in HVAC systems require that the HVAC system is operated at nominal volume flow. For HVAC systems with variable volume flow this assumption is only fulfilled in one operating point. Outside this operating point existing condition monitoring systems assess the air filter condition in a too optimistic manner. Therefore, polluted air filters remain undetected until their regular check, leading to unneeded energy consumption. If the true condition of an air filter is known, it could be changed before it is clogged. So, a condition monitoring systems is needed which is also reliable in case of HVAC systems with variable volume flow. This work presents a model-based approach for such a condition monitoring system. Therefore, a dataset from a building is used to assess an optimal model. Furthermore, the condition monitoring systems is evaluated on that dataset.

: http://publica.fraunhofer.de/dokumente/N-635047.html