Evaluation of a 0.7 kW Suspension-Type Dehumidifier Module in a Closed Chamber and in a Small Greenhouse

Controlling humidity inside greenhouses is crucial for optimum plant growth and controlling physiological disorders and diseases. The humidity response and uniformity depend extensively on the evaluation of the dehumidifier. The objective of this research was to evaluate a low-powered suspension-type dehumidifier module in terms of humidity changes and spatial and vertical variability in a closed chamber and in a small greenhouse. A wireless sensor network including 27 sensor nodes was used to collect the data during the humidity changes from 80% to 70% and 90% to 70%. The humidity response results showed that the times required for dehumidification from 80% to 70% and 90% to 70% were 13.75 and 21.51 min, respectively, for the closed-chamber operation. Similarly, for the small greenhouse, 18 and 35 min were required to reduce the humidity levels from 80% to 70% and 90% to 70%, respectively. The spatial and variability results indicated that the changes in humidity at the rear and bottom layers were slower than those in the other layers of both experimental areas. The findings of this study would aid in the development of dehumidification strategies and sustainable agriculture for monitoring and controlling humidity in greenhouses using low-powered dehumidifiers.

[1]  R. Lopez,et al.  Influence of Day and Night Temperature and Radiation Intensity on Growth, Quality, and Economics of Indoor Green Butterhead and Red Oakleaf Lettuce Production , 2023, Sustainability.

[2]  M. Oh,et al.  Effects of Air Anions on Growth and Economic Feasibility of Lettuce: A Plant Factory Experiment Approach , 2022, Sustainability.

[3]  K. Chua,et al.  Energy improvement and performance prediction of desiccant coated dehumidifiers based on dimensional and scaling analysis , 2021 .

[4]  R. Vaish,et al.  Development and applications of thermoelectric based dehumidifiers , 2021, Energy and Buildings.

[5]  F. Ge,et al.  Exergy analysis of dehumidification systems: A comparison between the condensing dehumidification and the desiccant wheel dehumidification , 2020 .

[6]  Md. Shaha Nur Kabir,et al.  Performance Evaluation of a Suspension-Type Dehumidifier with a Heating Module for Smart Greenhouses , 2020 .

[7]  Xiaohua Liu,et al.  Performance of heat pump driven internally cooled liquid desiccant dehumidification system , 2020 .

[8]  Lin Lu,et al.  Modeling and performance analysis of a fully solar-powered stand-alone sweeping gas membrane distillation desalination system for island and coastal households , 2020 .

[9]  I. Al-helal,et al.  Diffusion Characteristics of Solar Beams Radiation Transmitting through Greenhouse Covers in Arid Climates , 2020 .

[10]  Sih-Li Chen,et al.  Experimental investigation of a liquid desiccant dehumidification system integrated with shallow geothermal energy , 2020 .

[11]  Sun-Ok Chung,et al.  Monitoring the Operating Status of an Automatic Harmful Fly Collector for Smart Greenhouses , 2019, Journal of Biosystems Engineering.

[12]  Qichang Yang,et al.  Spatial distribution of air temperature and relative humidity in the greenhouse as affected by external shading in arid climates , 2019 .

[13]  Ali Sulaiman Alsagri,et al.  Thermal analysis of a hybrid solar desalination system using various shapes of cavity receiver: Cubical, cylindrical, and hemispherical , 2019, Energy Conversion and Management.

[14]  Zetian Fu,et al.  Nonlinear simulation for coupling modeling of air humidity and vent opening in Chinese solar greenhouse based on CFD , 2019, Comput. Electron. Agric..

[15]  Wen Tao,et al.  A novel 3D simulation model for investigating liquid desiccant dehumidification performance based on CFD technology , 2019, Applied Energy.

[16]  F. Rodríguez,et al.  Evaluation of a dehumidifier in a mild weather greenhouse , 2019, Applied Thermal Engineering.

[17]  P. Bournet,et al.  Effect of the greenhouse design on the thermal behavior and microclimate distribution in greenhouses installed under semi‐arid climate , 2017 .

[18]  Xuan Quang Duong,et al.  Numerical Analysis of The Compressor Type of Dehumidifier: Fluid Flow , 2016 .

[19]  Jack Fishman,et al.  A Python toolkit for visualizing greenhouse gas emissions at sub-county scales , 2016, Environ. Model. Softw..

[20]  Pierre-Emmanuel Bournet,et al.  Heat-pump dehumidifier as an efficient device to prevent condensation in horticultural greenhouses , 2016 .

[21]  Zheng Shen,et al.  A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model , 2015 .

[22]  Sun-Ok Chung,et al.  Spatial, Vertical, and Temporal Variability of Ambient Environments in Strawberry and Tomato Greenhouses in Winter , 2014 .

[23]  Ali Abbas,et al.  Evaluation of using thermoelectric coolers in a dehumidification system to generate freshwater from ambient air , 2011 .

[24]  Daniel C. Dunn,et al.  Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++ , 2010, Environ. Model. Softw..

[25]  Ruzhu Wang,et al.  Development of a novel two-stage liquid desiccant dehumidification system assisted by CaCl2 solution using exergy analysis method , 2010 .

[26]  Carlos Ricardo Bojacá,et al.  Original papers: Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations , 2009 .

[27]  Jung Eek Son,et al.  3-D CFD analysis of relative humidity distribution in greenhouse with a fog cooling system and refrigerative dehumidifiers , 2008 .

[28]  Nicolas Galanis,et al.  Air humidification-dehumidification for a water desalination system using solar energy , 2007 .

[29]  Thierry Boulard,et al.  Analysis of Greenhouse Ventilation Efficiency based on Computational Fluid Dynamics , 2006 .

[30]  Majed M. Alhazmy Power estimation for air cooling and dehumidification using exergy analysis , 2006 .

[31]  H. Challa,et al.  Process-based humidity control regime for greenhouse crops , 2003 .

[32]  C. R. de Freitas,et al.  Condensation as a microclimate process: measurement, numerical simulation and prediction in the Glowworm Cave, New Zealand , 2003 .

[33]  Yun Zhao,et al.  SE—Structures and Environment , 2001 .

[34]  N. J. van de Braak,et al.  Heating system position and vertical microclimate distribution in chrysanthemum greenhouse , 2000 .

[35]  C. Kittas,et al.  Pressure Field and Airflow at the Opening of a Naturally Ventilated Greenhouse , 1998 .

[36]  F. Went Plant growth under controlled conditions. II. Thermoperiodicity in growth and fruiting of the tomato , 1944 .

[37]  Saud Ghani,et al.  Design challenges of agricultural greenhouses in hot and arid environments – A review , 2019, Engineering in Agriculture, Environment and Food.

[38]  G.P.A. Bot,et al.  Design of a low-energy dehumidifying system for greenhouses , 2001 .

[39]  N. J. van de Braak,et al.  Effect of heating system position on vertical distribution of crop temperature and transpiration in greenhouse tomatoes , 2000 .