Ahmad Rosyid Idris, Usman Usman, Faturahman Fauzan, Alamsyah Achmad

Microcontroller-based Design a Supporting System for Irradiance, Temperature and Tilt Angle Conditioning of PV Performance Measurement

Introduction

Microcontroller-based design a supporting system for irradiance, temperature and tilt angle conditioning of pv performance measurement. Design a microcontroller-based system for precise conditioning of irradiance, temperature, and tilt angle to accurately measure PV performance. Features control & monitoring, low sensor errors, and reliable field testing.

Abstract

Several factors influence PV output, including irradiance, temperature, and panel tilt angle. Irradiance and tilt angle affect the Photovoltaic (PV) current, while temperature affects the PV voltage. To accurately measure the performance of PVs in the field, it is necessary to condition these three parameters. Therefore, a system should be created to condition these parameters. This research aims to develop a control and monitoring system based on the set point to condition irradiance, temperature, and tilt angle. This research started with system design, fabrication, functionality testing with the black box method, sensor reading accuracy, and PV performance testing. The functionality testing results indicate that each test item can perform as expected. The sensor testing revealed of 1%, 0.26%, and 1.8% errors for MLX90614, BH1750, and MPU6050, respectively. The system's performance was tested, and it was discovered that the input value, which is the setpoint of the three variables, i.e., irradiance, temperature, and tilt angle of the PV, can produce outputs that are almost the same as the input value and settling time is different to reach the setpoint of each parameter. PV performance measurement using this system can represent PV performance by conducting direct testing using direct sunlight.

Review

This paper presents a timely and relevant solution for accurately characterizing Photovoltaic (PV) panel performance by addressing the critical need to condition key environmental variables. The authors correctly identify that irradiance, temperature, and tilt angle significantly influence PV output, making a controlled measurement environment essential for reliable data. The proposed microcontroller-based system aims to precisely control and monitor these three parameters through setpoint conditioning, a practical approach that directly tackles a common challenge in PV research and development. The scope, moving from system design and fabrication to comprehensive testing, indicates a thorough approach to system development. The research details a methodical development process, beginning with system design and fabrication, followed by functionality testing using the black box method, sensor accuracy validation, and ultimately, PV performance testing. A significant strength of this work lies in the reported low error rates for the integrated sensors: 1% for the MLX90614, 0.26% for the BH1750, and 1.8% for the MPU6050, which speaks to the system's potential for high data fidelity. The abstract indicates that the system successfully conditions irradiance, temperature, and tilt angle to achieve outputs closely matching input setpoints, validating its core objective. Furthermore, its ability to represent PV performance under direct sunlight conditions underscores its practical utility and real-world applicability for field measurements. While the abstract provides a strong overview of the system's successful development and validation, the full paper would benefit from a more detailed discussion regarding the "different settling time to reach the setpoint of each parameter," which could offer insights into control algorithm tuning and dynamic response. Further elaboration on the specific control strategies implemented for each parameter, and a comparison of the system's performance against established PV measurement standards, would enhance its scientific rigor. Overall, this work introduces a valuable and practical tool for researchers and engineers, offering a robust method for controlled PV performance measurement and contributing positively to the advancement of renewable energy characterization.

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