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All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Jurnal Hilirisasi IPTEKS (JHI) Jurnal Teknologi Pertanian Andalas GreenTech
Putri, Irriwad
Program Studi Teknik Pertanian Dan Biosistem, Fakultas Teknologi Pertanian, Universitas Andalas
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Mechanical Engineering Public Health Veterinary Other

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The Role of Fan Speed and Misting for Computational Fluid Dynamics (CFD) Analysis of Temperature and Humidity Regulation in Greenhouses Renny Eka Putri; Mutiara Salwa; Ashadi Hasan; Irriwad Putri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 6 (2025): December 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i6.2026-2038

Abstract

Maintaining an optimal climate is essential for plant growth, and greenhouses though controlled often face challenges such as excessive heat. To address this, fan and misting systems are commonly used. This study investigates the role of fan speed and misting in regulating temperature and relative humidity (RH) in a smart greenhouse using Computational Fluid Dynamics (CFD) simulations. In this research, CFD simulations were performed using actual temperature and RH measurements as input data. The scenarios included varying fan speeds (3.4 m/s, 4.5 m/s) and a control condition without a fan, combined with 15-minute misting sessions. The results show that a fan speed of 4.5 m/s with misting is more effective at lowering temperature compared to 3.4 m/s under the same misting conditions. The simulation errors were below 10% across all treatments, indicating the model’s reliability. These findings offer valuable insights for optimizing climate control in greenhouses, supporting more efficient and sustainable crop production.
Co-Authors Ade Sandri Aldi, Rahmah Tasya Ardi Turnando Ashadi Hasan Azrifirwan, Azrifirwan Butar Butar, Angelia Desrial Fauzi, Fahmi Fitrio Halimatus Syahdia Hasibuan Hammam Mananda Harahap Harahap, Hammam Mananda Ilga Putri Maharani Mei Mardhiani Lubis Mohammad Agita Tjandra Muhammad Iqbal Abdi Lubis Muhammad Makky Muhammad Mizwardi Mutiara Salwa Nasution, Afrilia Maharani Putri Zainal Rahmah Tasya Aldi Renny Eka Putri, Renny Eka Santosa Santosa Santosa Santosa Santosa Santosa Usman Ahmad