03354ntm a2200373 i 4500 0 0 lcc 0 1 REF 10000 10000 2023-06-12 0 PSM .A84 2023 r Thesis T000002400 2023-06-12 00:00:00 1 2023-06-12 THESIS 0 0 lcc 0 0 10000 10000 2023-06-12 0 CD13365 T000002401 2023-06-12 00:00:00 1 2023-06-12 THESIS 99545 99551 MY-KuUP 20251125110740.0 t||||fr|||| 000 0 ta 230612s20232023my a|||fr|||| 000 0 eng d THE0009661 (Local) Hardback UMP eng UMP rda PSM .A84 2023 r Thesis Siti Nurashiken Binti Md Sabudin, author. Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance / Siti Nurashiken Binti Md Sabudin Pahang: UMP, 2023 ©2023 xiv, 143 pages Illustration (some colour) ; 30 cm.+ 1 CD-ROM. rdacontent text rdamedia unmediated rdamedia unmediated rdamedia computer rdacarrier volume rdacarrier computer disc rda text file PDF Center for Mathematical Sciences Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2023 etc. note Includes bibliographical reference In Malaysia, solar energy is the primary renewable energy source due to its proximity to the equator. In comparison to fossil fuels, solar technology is the fastest-growing, most cost-effective, and least harmful to the environment. Photovoltaic systems convert solar irradiance into electricity. Due to some factors, the amount of solar irradiance arriving at the solar photovoltaic collector at a specific location varies. The goal of this study was to develop a mathematical model for predicting the performance of a photovoltaic system, which depends on the amount of solar irradiance. A novel model for solar irradiance in the form of a delay differential equation is introduced by including the factor of delayed solar irradiance, hour angle and the sun's motion. The simulation study is carried out for the three scenarios of weather conditions: a clear day, a slightly cloudy day, and a heavily overcast day. The numerical solution is obtained by adopting the Runge Kutta method coupled with a parameter fitting technique, the Nelder Mead algorithm, which is implemented by using MATLAB software. The data from a solar plant in Pahang, Malaysia, was used for model validation and it is found that the prediction profile for solar irradiance aligns well with the intermediate and decay phases, but deviates slightly during the growth phase. The output current and power for the solar photovoltaic panel were treated as time-dependent functions. As the solar irradiance increases, the output current and power of the solar panel will increase. The result showed that the maximum output current and output power of STP250S-20/Wd Crystalline Solar Module decreased by 42% and 76% , respectively, during slightly cloudy and heavily overcast conditions when compared to clear days. In other words, the performance of a photovoltaic module is better on clear days compared to cloudy days and heavily overcast. These findings highlight the relationship between delayed solar irradiance and the performance of the solar photovoltaic system. Center for Mathematical Sciences Dissertations Universities and colleges Dissertations Thesis lcc THESIS