Meteorological-Data-Based Modeling for PV Performance Optimization

Mahmood Alharbi (), Ramzi Alahmadi and Ahmed Alahmadi
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Mahmood Alharbi: Electrical Engineering Department, Taibah University, Medinan 42353, Saudi Arabia
Ramzi Alahmadi: Industrial Engineering Department, Taibah University, Medinan 42353, Saudi Arabia
Ahmed Alahmadi: Electrical Engineering Department, Taibah University, Medinan 42353, Saudi Arabia

Sustainability, 2023, vol. 15, issue 11, 1-16

Abstract: Developing a sustainable and reliable photovoltaic (PV) energy system requires a comprehensive analysis of solar profiles and an accurate prediction of solar energy performance at the study site. Installing the PV modules with optimal tilt and azimuth angles has a significant impact on the total irradiance delivered to the PV modules. This paper proposes a comprehensive optimization model to integrate total irradiance models with the PV temperature model to find the optimal year-round installation parameters of PV modules. A novel integration between installation parameters and the annual average solar energy is presented, to produce the maximum energy output. The results suggest an increase in energy yields of 4% compared to the conventional scheme, where tilt angle is equal to the latitude and the PV modules are facing south. This paper uses a real-time dataset for the NEOM region in Saudi Arabia to validate the superiority of the proposed model compared to the conventional scheme, but it can be implemented as a scheme wherever real-time data are available.

Keywords: energy conversion; power generation meteorological factors; photovoltaic cell radiation effects; photovoltaic cell thermal factors; optimization methods; modeling; algorithms (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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