Publication:
Computational Fluid Dynamics Analysis for Greenhouse with Different Ventilation Openings and Orientations in Samsun, Turkey

dc.authorscopusid55976027400
dc.authorscopusid58623269000
dc.authorscopusid56541733100
dc.authorscopusid35299338600
dc.contributor.authorCemek, B.
dc.contributor.authorMustaqimah, M.
dc.contributor.authorKüçüktopcu, E.
dc.contributor.authorGürdil, G.A.K.
dc.date.accessioned2025-12-11T00:29:30Z
dc.date.issued2022
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Cemek] Bilal, Department of Agricultural Structures and Irrigation, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Mustaqimah] Muminah, Department of Agricultural Structures and Irrigation, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Küçüktopcu] Erdem, Department of Agricultural Structures and Irrigation, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Gürdil] Gürkan Alp Kaǧan, Department of Agricultural Machinery and Technologies Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractAirflow and air distribution are critical factors in creating the microclimatic conditions necessary for plant growth and productivity in the greenhouse. Different greenhouse models and orientations can affect airflow and ventilation rates, resulting in greenhouse microclimate variation. The aim of this study was to evaluate the microclimatic conditions in the greenhouse in Samsun under different greenhouse models and orientations using the computational fluid dynamics method (CFD). Greenhouse microclimate conditions were simulated in two different models, M1 (45° vent) and M2 (35° vent), validated with experimental data, and airflow patterns, airspeed, temperature, and relative humidity were determined for each model in different greenhouse orientations before the winding course. The statistical parameters for evaluating model performance showed good agreement between the simulation and field test data. Since the wind was from the north, there was insufficient airflow through the greenhouse in most directions. The indoor temperature ranged from 27-28°C, and the relative humidity ranged from 42-48%. Based on the simulation, the best orientation for M1 is 45o, while M2 is close to the wind run at 75o. This CFD method effectively provides sufficient information to determine the appropriate greenhouse model in Samsun in less time and cost. © 2022 TAE 2022 - Proceeding of the 8th International Conference on Trends in Agricultural Engineering 2022. All rights reserved.en_US
dc.identifier.endpage77en_US
dc.identifier.isbn9788021332072
dc.identifier.scopus2-s2.0-85172701116
dc.identifier.startpage68en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36746
dc.language.isoenen_US
dc.publisherCzech University of Life Sciences Pragueen_US
dc.relation.ispartof-- 8th International Conference on Trends in Agricultural Engineering 2022, TAE 2022 -- 2022-09-20 through 2022-09-23 -- Prague -- 191544en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMicro-Climateen_US
dc.subjectModelen_US
dc.subjectNumeric Analysisen_US
dc.subjectUniformity Indexen_US
dc.titleComputational Fluid Dynamics Analysis for Greenhouse with Different Ventilation Openings and Orientations in Samsun, Turkeyen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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