Temperature and Humidity Control for the Next Generation Greenhouses: Overview of Desiccant and Evaporative Cooling Systems

Sultan, Muhammad; Ashraf, Hadeed; Miyazaki, Takahiko; Shamshiri, Redmond R.; Hameed, Ibrahim A.

doi:10.5772/intechopen.97273

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…One of the essential technologies of smart farms is environmental control because each crop type has specific environmental conditions for optimal growth, including the optimal RH ranging from 50% to 90%. [56][57][58] Based on sensor technology, big data analysis, and actuation system, many have succeeded to grow crops in a compact area with optimal output. However, the current smart farm still requires human labor, and unmanned smart farms filled with farming robots and drones are desirable for their prolonged operation time and efficient usage of space.…”

Section: Demonstration For Smart Farm Sensor Applicationsmentioning

confidence: 99%

Spike‐based Self‐Calibration for Enhanced Accuracy in Self‐powered Pressure Sensing

Han,

Choi,

Ahn

et al. 2023

Adv Materials Technologies

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Self‐powered pressure sensors are gaining popularity in human–machine interaction and mobile systems for their energy efficiency. Among the many types of self‐powered sensors, triboelectric sensors have numerous advantages, including diversity of materials, ease of fabrication, and high voltage output. However, their signal is prone to be affected by both intrinsic and extrinsic factors including environmental change and discharging, which can significantly deteriorate the accuracy of measurement. To address this, a simple yet effective solution is proposed: a mechanically induced spike‐based self‐calibration method for a triboelectric pressure sensor. The sensor generates two signals: an open‐circuit voltage and a spiking calibration voltage, enabling real‐time calculation of current surface charge density. The calibration signal generates a spike at each predetermined discrete pressure change, whether positive or negative direction, denoting the corresponding direction of the pressure variation. This system successfully calibrates signals from various effects, including humidity change (20%–80%), discharging (over 10 days), and charge accumulation. This sensor has potential applications in precision agriculture for efficient crop harvesting and packaging in diverse environmental conditions.

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Section: Demonstration For Smart Farm Sensor Applicationsmentioning

confidence: 99%

Spike‐based Self‐Calibration for Enhanced Accuracy in Self‐powered Pressure Sensing

Han,

Choi,

Ahn

et al. 2023

Adv Materials Technologies

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“…Evaporative cooling systems coupled with standalone conventional vapor compression systems for the management of building air-conditioning loads and associated applications have been extensively studied in the literature [6][7][8][9][10][11][12][13][14][15].…”

Section: Multi-stage Air-conditioning Systemsmentioning

confidence: 99%

Potential Investigation of Membrane Energy Recovery Ventilators for the Management of Building Air-Conditioning Loads

et al. 2022

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The present study provides insights into the energy-saving potential of a membrane energy recovery ventilator (ERV) for the management of building air-conditioning loads. This study explores direct (DEC), Maisotsenko cycle (MEC) evaporative cooling, and vapor compression (VAC) systems with ERV. Therefore, this study aims to explore possible air-conditioning options in terms of temperature, relative humidity, human thermal comfort, wet bulb effectiveness, energy saving potential, and CO2 emissions. Eight different combinations of the above-mentioned systems are proposed in this study i.e., DEC, MEC, VAC, MEC-VAC, and their possible combinations with and without ERVs. A building was modeled in DesignBuilder and simulated in EnergyPlus. The MEC-VAC system with ERV achieved the highest temperature gradient, wet bulb effectiveness, energy-saving potential, optimum relative humidity, and relatively lower CO2 emissions i.e., 19.7 °C, 2.2, 49%, 48%, and 499.2 kgCO2/kWh, respectively. Thus, this study concludes the hybrid MEC-VAC system with ERV the optimum system for the management of building air-conditioning loads.

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“…Several previous studies have investigated the effectiveness of temperature and moisture control in improving compost quality. The results of these studies show that the use of temperature and moisture control technologies can have positive results in the context of composting 11,12 . Therefore, this research aims to further examine and provide a deeper understanding of the "Composter with Magic Compos Forward Reverse Design System" system as a potential method in improving the quality of compost produced.…”

Section: Introductionmentioning

confidence: 95%

Effectiveness of Composter with Magic Compos System Forward Reverse Design Through Temperature and Humidity Control on Composing Quality

Amaliyah,

Anwar,

Wardoyo

2023

JIK

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Household waste management is an important concern in an effort to reduce the potential negative impact on public health due to organic waste generation. This study aims to analyze differences in compost maturation rates based on variations in the time interval of the turning process in Magic Compost, differences in compost maturation rates based on the type of organic waste, differences in C/N ratio, carbon content, and moisture content in compost, differences in nitrogen, phosphorus, and potassium levels in compost, and differences in temperature, pH, and color in compost based on household organic waste criteria. This research uses an experimental approach with a posttest without a control group design and applies a randomized complete group design (RAKL). The tool used is Magic Compost, which is equipped with a temperature and humidity controller. The results showed a significant difference in the rate of compost maturation based on the time interval variation of the turning process on Magic Compost (p value = 0.000). The best turning time interval is 12 hours. There was a difference in the rate of compost maturation based on the type of organic waste generated by households, with mixed waste compost maturing the fastest and rice/starch waste maturing the slowest (p value = 0.001). While there was no difference in the C/N ratio (p value = 0.202), there were significant differences in the carbon content and moisture content of the compost based on the type of organic waste (p values = 0.042 and 0.000). However, there was no difference in the nitrogen and phosphorus content of the compost (p value = 0.144 and p value = 0.663). There was a difference in potassium levels in the compost based on the type of organic waste (p value = 0.000). The temperature of the resulting compost showed no significant difference (p value = 0.000), but there were differences in the pH and color of the compost based on household organic waste criteria (p values = 0.048 and 0.007). This study provides important insights into organic waste management through composting with Magic Compost, which can be an effective solution for reducing the negative public health and environmental impacts caused by organic waste generation.

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Temperature and Humidity Control for the Next Generation Greenhouses: Overview of Desiccant and Evaporative Cooling Systems

Cited by 8 publications

References 24 publications

Spike‐based Self‐Calibration for Enhanced Accuracy in Self‐powered Pressure Sensing

Spike‐based Self‐Calibration for Enhanced Accuracy in Self‐powered Pressure Sensing

Potential Investigation of Membrane Energy Recovery Ventilators for the Management of Building Air-Conditioning Loads

Effectiveness of Composter with Magic Compos System Forward Reverse Design Through Temperature and Humidity Control on Composing Quality

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