Prototype Design for Irradiance Estimation Using Closed-Form Models and an Optimized MPPT IC Algorithm

• Published in: Electronics (Basel) Vol. 14; no. 8; p. 1652
• Main Authors: Calizaya-Neira, Clever R., Coaquira-Castillo, Roger Jesus, Utrilla Mego, L. Walter, Herrera-Levano, Julio Cesar, Palomino Lopez, Alexander, Moreno-Cardenas, Edison, Sacoto-Cabrera, Erwin J.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 19.04.2025
• Subjects: Accuracy; Algorithms; Alternative energy sources; Analysis; Closed form solutions; Control theory; Efficiency; Electricity; Error analysis; Estimates; Evaluation; Exact solutions; Incremental conductance; Irradiance; Maximum power tracking; Measuring instruments; Methods; Photovoltaic cells; Prototypes; Radiation; Sensors; Solar radiation; Temperature measurement; Temperature measurements; United States; Texas; United States > US
• ISSN: 2079-9292; 2079-9292
• DOI: 10.3390/electronics14081652

Measuring solar irradiance is key to assessing the conversion efficiency of photovoltaic (PV) modules. Also, PV modules can be used to estimate irradiance through their electrical response to solar radiation using closed-form models (CFMs). This paper presents a prototype design for irradiance estimation based on evaluating three CFMs by implementing a maximum power point tracking (MPPT) system and a surface temperature measurement system. The system employs an incremental conductance (IC)-based control algorithm, which is optimized to eliminate oscillations at the maximum power point (MPP) and ensure efficient MPP tracking. Experimental validation of the implemented circuits is carried out using Arduino Nano, calibrated sensors, and low-cost electronic devices. Tests in real conditions were performed for four days under different irradiance scenarios, using two monocrystalline PV modules: one with 10 years of use and one new one. The accuracy of the CFMs was evaluated using the mean absolute percentage error (MAPE) and root mean squared error indicators, comparing their estimates with measurements from a Davis Instruments pyranometer. The most accurate CFM obtained a MAPE of 4.38% with the 10-year module and 3.26% with the new module. The results show that the proposed methodology provides estimates with an error of less than 5%, which validates its applicability under various climatic conditions, even with old PV modules.