Advanced Optimization of Photovoltaic Systems Using Response Surface Techniques (RSM)

This work includes an analysis of experimental results obtained for a 2 kW grid-connected photovoltaic system mounted on an adjustable sun tracker system. A suitable optimization model is exploited to determine the optimal factors' settings that maximize the performance of a photovoltaic system in the lowest productive period in the year concerning solar irradiance (W/m2). This system was installed at Philadelphia Solar Ltd. in Amman- Jordan. Response surface methodology was the optimization model employed in this study, and it was applied for multiple responses of interest. These responses were the input current and the input voltage; these responses were assumed to be affected by the tilt angle and the azimuth angle. It was found that the optimal tilt angle was 35°, and the optimal azimuth angle was 0°. These installation settings ensured their validity when used in periods with the worst environmental conditions in Jordan. The efficiency of the photovoltaic station can be increased by 10% in this period by operating the station using these settings, where the current value is 7.9197 A and the voltage value is 225.451 V.

Authors

Institutions

Publication Details

Journal
International Review of Mechanical Engineering (IREME)
Published
2025-02-28
DOI
https://doi.org/10.15866/ireme.v19i2.24980
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Optimization of Photovoltaic Systems Using Response Surface Techniques (RSM)

Ahmad Sakhrieh, Haneen Abuzaid, Mazen Arafeh, M. A. Hamdan et al.
International Review of Mechanical Engineering (IREME)
solar cell performance optimization
article

Advanced Optimization of Photovoltaic Systems Using Response Surface Techniques (RSM)

Ahmad Sakhrieh, Haneen Abuzaid, Mazen Arafeh, M. A. Hamdan, Nour Khlaifat
article en

Abstract

This work includes an analysis of experimental results obtained for a 2 kW grid-connected photovoltaic system mounted on an adjustable sun tracker system. A suitable optimization model is exploited to determine the optimal factors' settings that maximize the performance of a photovoltaic system in the lowest productive period in the year concerning solar irradiance (W/m2). This system was installed at Philadelphia Solar Ltd. in Amman- Jordan. Response surface methodology was the optimization model employed in this study, and it was applied for multiple responses of interest. These responses were the input current and the input voltage; these responses were assumed to be affected by the tilt angle and the azimuth angle. It was found that the optimal tilt angle was 35°, and the optimal azimuth angle was 0°. These installation settings ensured their validity when used in periods with the worst environmental conditions in Jordan. The efficiency of the photovoltaic station can be increased by 10% in this period by operating the station using these settings, where the current value is 7.9197 A and the voltage value is 225.451 V.

International Review of Mechanical Engineering (IREME)Vol. 19(2)
University of Jordan (JO), Isra University (PK), American University of Sharjah (AE), Renewable Energy Systems (United States) (US), American University of Ras Al Khaimah (AE)
Affordable and clean energy
Openalex Percentile: Top 87%
solar cell performance optimization
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.

Advanced Optimization of Photovoltaic Systems Using Response Surface Techniques (RSM) — Ahmad Sakhrieh, Haneen Abuzaid, et al. · International Review of Mechanical Engineering (IREME) (2025) | TGRS Research Map | TGRS