Optimisation of Personal Ventilation in Aircrafts
Authors
Czarnota, Tomasz ; Jasieński, Michał
Term
4. term
Publication year
2008
Pages
233
Abstract
Dette speciale undersøger, hvordan personlig ventilation (PV) til flypassagerer kan optimeres—systemer der leverer ren luft direkte til hver plads. Først redesignes tekstile luftudtag integreret i sædet; sædestrop og sædeovertræk undersøges for at forbedre form og størrelse. Arbejdet resulterer i en prototype af et vinklet sædeovertræk, der bedre retter luftstrømmen. Dernæst testes PV i en model af en kabinesektion og vurderes i kombination med to almindelige ventilationsstrategier: blandingsventilation (luften blandes i hele kabinen) og fortrængningsventilation (frisk luft tilføres ved lavt niveau, mens varm luft stiger og fjernes). Ved hjælp af åndende termiske manikiner, der efterligner passagerer, måles lufthastighed, temperatur og sporstofkoncentration som indikatorer for forurening. Effektivitet rapporteres med en ventilationsindeks og en luftkvalitetsindeks, begge relevante for at reducere risikoen for krydsinfektion. Endelig supplerer beregningsbaserede strømningssimuleringer (CFD) i FloVent forsøgene ved at vise luftstrømsmønstre, temperaturfelter og spredning af forurening.
This thesis explores how to optimize personal ventilation (PV) for aircraft passengers—systems that deliver clean air directly to each seat. First, textile air outlets integrated into the seat are redesigned, studying the seat strap and seat cover to improve their shape and size. This work led to a prototype angled seat cover to better direct airflow. Second, PV is tested in a cabin section model and evaluated when combined with two common strategies: mixing ventilation (air is blended throughout the cabin) and displacement ventilation (fresh air enters at low level and warm air rises and is removed). Using breathing thermal manikins to mimic passengers, we measure air velocity, temperature, and tracer gas concentration as indicators of contamination. Effectiveness is reported using a ventilation index and an air quality index, both relevant to reducing cross-infection risk. Finally, computational fluid dynamics (CFD) simulations in FloVent complement the experiments by showing airflow patterns, temperature fields, and how contaminants spread.
[This abstract was generated with the help of AI]
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