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Integrated inverse design of ventilation for an aircraft cabin
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Sustainable Buildings.ORCID iD: 0000-0003-1285-2334
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2019 (English)In: E3S Web of Conferences, EDP Sciences , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Cabin ventilation is crucial for maintaining thermal comfort and air quality for passengers and crew. The genetic algorithm, proper orthogonal decomposition (POD), and adjoint method have been proposed to inversely design the cabin ventilation. However, each method has its cons and pros. This paper proposed to integrate the above three methods in cascades. The genetic algorithm was applied first in the first stage to roughly circumscribe the ranges of design parameters. Then POD was applied in the next stage to further narrow the ranges and estimate the optimal parametric sets for each design criterion. The estimated optimal design from POD was supplied to the adjoint method for fine tuning. The air-supply parameters of a five-row aircraft cabin were inversely designed to achieve the minimum absolute value of the predicted mean vote (PMV) and the minimum averaged mean age of air. The results showed that the integrated method was able to improve the design stage by stage. The integrated method has superior advantages to assure the optimal design while minimizing the computing expense.

Place, publisher, year, edition, pages
EDP Sciences , 2019.
Keywords [en]
Air quality, Aircraft, Genetic algorithms, Integrated control, Inverse problems, Optimal systems, Principal component analysis, Sustainable development, Thermal comfort, Ventilation, Adjoint methods, Design parameters, Integrated method, Inverse designs, Mean age of air, Minimum absolute value, Predicted mean vote, Proper orthogonal decompositions, Cabins (aircraft)
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-248172DOI: 10.1051/e3sconf/20198505006ISI: 000468021200046Scopus ID: 2-s2.0-85062430150OAI: oai:DiVA.org:kth-248172DiVA, id: diva2:1306847
Conference
2018 Sustainable Solutions for Energy and Environment, EENVIRO 2018, 9 October 2018 through 13 October 2018
Note

QC 20190425

Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-08-21Bibliographically approved

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Liu, Wei

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf