Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, 600044, India.
Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, Hyderabad, 500097, India.
Environ Sci Pollut Res Int. 2021 Sep;28(36):50017-50027. doi: 10.1007/s11356-021-14191-z. Epub 2021 May 4.
The photovoltaic (PV) for irrigation system is an emerging technology to harness the solar energy. The performance of the PV modules depends on the incident solar radiation, geographical location, and the surface temperature of the modules. The performance of the PV system needs to be monitored by manually or embedded controllers. The commercially available technologies for monitoring the system are costlier and need to be optimized. The Arduino controller is used to monitor the performance of the photovoltaic (PV) system in Coimbatore (11.016° N, 76.9558° E), Tamilnadu, India. The PV surface temperature is monitored and controlled by flowing the water above the module by setting the mean ambient temperature as a reference temperature 34 °C when the system exceeds the reference temperature. PV surface temperature is reduced up to 16°C thus improved the electrical efficiency by 17% compare to the reference module. The Arduino controller control the relay to switch on the motor to control the mass flow rate of the water at 0.0028kg/s. The various parameters are measured such as voltage, current, and solar radiation of the location and analyzed. The estimated cost of monitoring system and various sensor is 10$ which cost comparatively 50% lower than the other PV monitoring controllers. This method can be employed in the medium and large-scale irrigation system.
用于灌溉系统的光伏 (PV) 是一种利用太阳能的新兴技术。光伏模块的性能取决于入射的太阳辐射、地理位置和模块的表面温度。需要通过手动或嵌入式控制器来监测光伏系统的性能。目前市场上用于监测系统的技术成本更高，需要进行优化。在印度泰米尔纳德邦的哥印拜陀（11.016° N, 76.9558° E），我们使用 Arduino 控制器来监测光伏 (PV) 系统的性能。通过将平均环境温度设置为 34°C 作为参考温度，当系统超过参考温度时，水会在模块上方流动以监测和控制光伏表面温度。当系统超过参考温度时，光伏表面温度会降低 16°C，从而将电效率提高 17%，与参考模块相比。Arduino 控制器控制继电器以打开电机，从而控制水的质量流量在 0.0028kg/s。测量了位置的各种参数，如电压、电流和太阳辐射，并进行了分析。监测系统和各种传感器的估计成本为 10 美元，比其他光伏监测控制器低 50%。这种方法可以应用于中型和大型灌溉系统。
