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Multi-Objective Optimization of Impinging Jet Ventilation Systems: Taguchi Based CFD Method
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering, Energy system.ORCID iD: 0000-0003-2023-689x
2018 (English)In: Building Simulation, ISSN 1996-3599, E-ISSN 1996-8744, Vol. 11, no 6, p. 1207-1214Article in journal (Refereed) Published
Abstract [en]

This paper presents a Taguchi method-based approach that can optimize the operating performance of impinging jet ventilation (IJV) systems with limited computational fluid dynamics (CFD) simulation results. The Taguchi optimization calculation finds the best operating design for the weighted overall objective function as a presenter of the multi-objective function problem. The method is used to optimize the operating characteristics of an IJV system considering the factors of supply air temperature, level of the return air vent and percentage of the air exhausted through the ceiling to achieve an overall best performance of thermal comfort, indoor air quality (IAQ) and system energy performance as the objective functions. The study indicates the contribution percentage for each factor in each objective function. The level of the return air vent, the supply air temperature, and the percentage of air exhausted through the ceiling have a contribution of 35.8%, 28.5%, and 35.8% in the objective functions, respectively. Based on the results, the best performance of the IJV system happens when the inlet air temperature is 18 °C, the height of the return air vent is 2 m above the floor, and the percentage of air exhausted through the ceiling is 22.5%.

Place, publisher, year, edition, pages
2018. Vol. 11, no 6, p. 1207-1214
Keywords [en]
impinging jet ventilation (IJV), thermal comfort, indoor air quality, energy performance, Taguchi method, optimization
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-26570DOI: 10.1007/s12273-018-0450-zISI: 000451924600010Scopus ID: 2-s2.0-85056574558OAI: oai:DiVA.org:hig-26570DiVA, id: diva2:1205865
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2019-01-07Bibliographically approved

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Cehlin, Mathias

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