Sulaiman, Hamdan and Yusof, Ahmad Anas and Mohamed Nor, Mohd Khairi (2023) The correlation between peltier module, solution volume and temperature in iot-controlled hydroponic nutrient solution management. In: Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2022, 20 July 2022through 20 July 2022, Pekan.
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The correlation between peltier module, solution volume and temperature in iot-controlled hydroponic nutrient solution management.pdf Restricted to Repository staff only Download (251kB) |
Abstract
This paper presents the study to determine the correlation of factors considered in developing a temperature control system that remotely controls the heating and cooling process of a hydroponic nutrient solution (HNS). The system incorporates the use of the Internet of Things (IoT), to remotely monitor, control, and acquire data. The ESP32 is used to provide IoT connectivity through the Blynk application. The temperature measurements were collected using the DS18B20 temperature sensor. The number of Peltier modules utilized for both heating and cooling cores varies from 1 to 4 units, as well as the volume of solution employed, varies between 1000 ml, 1500 ml, and 2000 ml, respectively. The heating and cooling performances were evaluated by determining the thermal equilibrium temperature meanwhile the correlation was analyzed using a fit regression model. The highest and lowest temperature recorded are 67.36 °C and 11.88 °C, respectively, with the uses of 4 Peltier modules as the temperature regulation core. Furthermore, the result reveals that the number of Peltier modules factor has significant affect (P < 0.05) on both of the heating and cooling capabilities of the system meanwhile the volume of the HNS factor is only significant for cooling performance (P = 0.023) compared to heating performance (P = 0.205). The correlation of the factors is represented by the regression model.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Uncontrolled Keywords: | Hydroponic nutrient management, Internet of Things, Regression analysis, Temperature control, Thermoelectric Peltier |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | Maizatul Najwa Ahmad |
| Date Deposited: | 20 Sep 2024 09:17 |
| Last Modified: | 20 Sep 2024 09:17 |
| URI: | http://eprints.utem.edu.my/id/eprint/27868 |
| Statistic Details: | View Download Statistic |
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