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008 230612s20232023my a|||fr|||| 000 0 eng d
020 _aTHE0009661 (Local)
_qHardback
040 _aUMP
_beng
_cUMP
_erda
090 _aPSM .A84 2023 r Thesis
100 1 _aSiti Nurashiken Binti Md Sabudin,
_eauthor.
245 1 0 _aMathematical model for predicting the performance of photovoltaic system with delayed solar irradiance /
_cSiti Nurashiken Binti Md Sabudin
264 1 _aPahang:
_bUMP,
_c2023
264 4 _c©2023
300 _axiv, 143 pages
_bIllustration (some colour) ;
_c30 cm.+
_e1 CD-ROM.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
337 _2rdamedia
_aunmediated
337 _2rdamedia
_acomputer
338 _2rdacarrier
_avolume
338 _2rdacarrier
_acomputer disc
347 _2rda
_atext file
_bPDF
500 _aCenter for Mathematical Sciences
502 _aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2023
504 _aetc. note Includes bibliographical reference
520 3 _aIn 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.
610 2 0 _aCenter for Mathematical Sciences
_xDissertations
650 0 _aUniversities and colleges
_xDissertations
650 0 _aThesis
942 _2lcc
_cTHESIS