TY - GEN
T1 - Model-Based Analysis of Factors Influencing Solar Energy Efficiency
T2 - 2024 IEEE Global Energy Conference, GEC 2024
AU - Tur, Mehmet Rida
AU - Padmanaban, Sanjeevikumar
AU - Hossain, Eklas
AU - Al-Hajj, Rami
AU - Wadi, Mohammed
AU - Shobole, Abdulfetah
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Solar energy is widely regarded as the most significant renewable energy source, with photovoltaic (PV) cells serving as the primary component for electricity generation from solar radiation. Several factors influence the energy production efficiency of PV cells, including but not limited to, radiation levels, temperature, cable losses, dust accumulation, and shading. These factors are often interrelated, where one factor can exacerbate the impact of another. In this study, various parameters affecting solar efficiency were examined by integrating them into a model, with each factor analyzed individually. Real system data was collected, and the impact of dust accumulation on the panels was assessed by measuring its contribution to shading, which in turn reduces the amount of radiation absorbed by the photovoltaic cells. The study anticipates that similar outcomes will be observed in large-scale applications, which could play a crucial role in shaping future investment decisions. It is suggested that optimizing the tilt angle of the panels and ensuring regular rainfall can effectively reduce dust accumulation, thereby enhancing the overall system efficiency.
AB - Solar energy is widely regarded as the most significant renewable energy source, with photovoltaic (PV) cells serving as the primary component for electricity generation from solar radiation. Several factors influence the energy production efficiency of PV cells, including but not limited to, radiation levels, temperature, cable losses, dust accumulation, and shading. These factors are often interrelated, where one factor can exacerbate the impact of another. In this study, various parameters affecting solar efficiency were examined by integrating them into a model, with each factor analyzed individually. Real system data was collected, and the impact of dust accumulation on the panels was assessed by measuring its contribution to shading, which in turn reduces the amount of radiation absorbed by the photovoltaic cells. The study anticipates that similar outcomes will be observed in large-scale applications, which could play a crucial role in shaping future investment decisions. It is suggested that optimizing the tilt angle of the panels and ensuring regular rainfall can effectively reduce dust accumulation, thereby enhancing the overall system efficiency.
KW - Dust Accumulation
KW - Radiation
KW - Shading Effects
KW - Solar Energy
UR - http://www.scopus.com/inward/record.url?scp=86000712484&partnerID=8YFLogxK
U2 - 10.1109/GEC61857.2024.10882077
DO - 10.1109/GEC61857.2024.10882077
M3 - Conference contribution
AN - SCOPUS:86000712484
T3 - IEEE Global Energy Conference 2024, GEC 2024
SP - 182
EP - 188
BT - IEEE Global Energy Conference 2024, GEC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2024 through 6 December 2024
ER -