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Inverse design of aircraft cabin ventilation by integrating three methods
DUT, Sch Civil Engn, 2 Linggong Rd, Dalian 116024, Peoples R China..
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Sustainable Buildings.ORCID iD: 0000-0003-1285-2334
DUT, Sch Civil Engn, 2 Linggong Rd, Dalian 116024, Peoples R China..
DUT, Sch Civil Engn, 2 Linggong Rd, Dalian 116024, Peoples R China.;Univ Colorado, Civil Environm & Architectural Engn, Boulder, CO 80309 USA..
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2019 (English)In: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 150, p. 33-43Article in journal (Refereed) Published
Abstract [en]

To create a healthy and comfortable aircraft cabin, air-supply parameters of the cabin ventilation system must be designed appropriately. Several methods, such as the computational fluid dynamics (CFD)-based genetic algorithm, CFD-based adjoint method and CFD-based proper orthogonal decomposition (POD), have been developed in recent years for conducing an inverse design. The target environmental performance is specified first, and then the corresponding air-supply parameters are inversely solved with the use of a particular method. However, each method has its pros and cons in terms of efficiency and accuracy. To expedite the inverse design process, this study proposed to integrate the above three methods. The genetic algorithm was adopted first to circumscribe ranges of the air-supply parameters. Next, POD was applied to further narrow the ranges and estimate the optimal air-supply parameters for each design criterion. Finally, the estimated optimal design from POD was supplied to the adjoint method for fine tuning. The above strategy was applied to a five-row aircraft cabin to determine the air-supply opening sizes, directions and temperatures. Criteria that had been proposed specifically for aircraft cabins were used as design targets. Results show that the proposed integration was able to provide the optimal design for each design target. The integrated optimal design was superior to the design provided by each individual method. The bottleneck in further acceleration of the integrated design was the hundreds of design cases resolved by full CFD simulation.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2019. Vol. 150, p. 33-43
Keywords [en]
Inverse design, Method integration, Genetic algorithm, POD, Adjoint method, CFD, AVEN DM, 1995, PHYSICAL REVIEW LETTERS, V75, P288 ahrokhi Ava, 2007, AEROSPACE SCIENCE AND TECHNOLOGY, V11, P443 m Taeyeon, 2007, APPLIED THERMAL ENGINEERING, V27, P3 hadidi B, 2005, ASHRAE TRANSACTIONS 2005, VOL 111, PT 1Winter Meeting of the American-Society-of-Heating, Refrigerating and Air-Conditioning Engineers, 2005, Orlando, FL, V111, P625 eenhalgh D, 2000, SIAM JOURNAL ON COMPUTING, V30, P269 uplet M, 2005, JOURNAL OF COMPUTATIONAL PHYSICS, V207, P192 Guojun, 2018, ANNALS OF NUCLEAR ENERGY, V117, P202 hr Matthew J., 2017, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, V112, P855 lkawi A. M., 2003, Proceedings of the 8th International IBPSA Conference, Eindhoven, Netherlands, P793 en Q., 2017, Inverse Design Methods for the Built Environment, ai Zhiqiang (John), 2014, BUILDING SIMULATION, V7, P661 hmer C., 2007, Proceedings of the 18th AIAA Computational Fluid Dynamics Conference, Miami, FL, P1 Kangji, 2013, ENERGY AND BUILDINGS, V67, P34 meson A., 1995, AIAA paper, V1729, P926
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-244086DOI: 10.1016/j.buildenv.2019.01.002ISI: 000457119200004Scopus ID: 2-s2.0-85059651629OAI: oai:DiVA.org:kth-244086DiVA, id: diva2:1289921
Note

QC 20190219

Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2019-04-12Bibliographically approved

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