Investigation of the potential months for generating photovoltaic electricity based on solar radiation and temperature

Abstract This study aims to determine the most productive months for photovoltaic power generation based on sunlight and temperature in the central region of Hungary’s Gödöllő city. Using MATLAB software, the feasibility of solar energy systems was assessed. A case study in the central region of Hungary’s Gödöllő city provided practical insights into solar energy utilization. An experimental investigation was carried out in July 2022 using the ASW-270P photovoltaic module, measuring 0.5 m 2 . The research developed a flow chart to illustrate the operation of the maximum power point tracking (MPPT) controller, which uses the perturb and observe (P&O) algorithm. The study achieved an optimal power output of 268 W with a minimal relative error of 0.003556 compared to standard values at an irradiance of 0.984 kW/m 2 and a temperature of 299 K. Specific days with high photovoltaic electricity potential were identified, including a key data point where a radiation intensity of 965 W/m 2 and a temperature of 302 K resulted in an output of 262.2 W, showing only a slight deviation from standard conditions. The analysis highlights how climatic factors such as solar radiation and temperature impact energy production and emphasizes the correlation between fill factor and power output efficiency. These findings highlight optimal sunny periods for future experimentation and provide performance advantages compared to prior studies.

Authors

Institutions

Publication Details

Journal
Electrical Engineering
Published
2026-02-16
DOI
https://doi.org/10.1007/s00202-025-03486-w
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the potential months for generating photovoltaic electricity based on solar radiation and temperature

P. Víg, Aschenaki Altaye, István Farkas
Electrical Engineering
Solar Radiation and Photovoltaics
article

Investigation of the potential months for generating photovoltaic electricity based on solar radiation and temperature

P. Víg, Aschenaki Altaye, István Farkas
article en

Abstract

Abstract This study aims to determine the most productive months for photovoltaic power generation based on sunlight and temperature in the central region of Hungary’s Gödöllő city. Using MATLAB software, the feasibility of solar energy systems was assessed. A case study in the central region of Hungary’s Gödöllő city provided practical insights into solar energy utilization. An experimental investigation was carried out in July 2022 using the ASW-270P photovoltaic module, measuring 0.5 m 2 . The research developed a flow chart to illustrate the operation of the maximum power point tracking (MPPT) controller, which uses the perturb and observe (P&O) algorithm. The study achieved an optimal power output of 268 W with a minimal relative error of 0.003556 compared to standard values at an irradiance of 0.984 kW/m 2 and a temperature of 299 K. Specific days with high photovoltaic electricity potential were identified, including a key data point where a radiation intensity of 965 W/m 2 and a temperature of 302 K resulted in an output of 262.2 W, showing only a slight deviation from standard conditions. The analysis highlights how climatic factors such as solar radiation and temperature impact energy production and emphasizes the correlation between fill factor and power output efficiency. These findings highlight optimal sunny periods for future experimentation and provide performance advantages compared to prior studies.

Electrical EngineeringVol. 108(3)
Magyar Agrár- és Élettudományi Egyetem (HU), Hawassa University (ET)
Affordable and clean energy
Openalex Percentile: Top 56%
Solar Radiation and Photovoltaics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigation of the potential months for generating photovoltaic electricity based on solar radiation and temperature — P. Víg, Aschenaki Altaye, et al. · Electrical Engineering (2026) | TGRS Research Map | TGRS