Penulis Utama : Hasan M.s.atia
NIM / NIP : S951302505

In this paper, the Genetic Algorithm (GA) is implemented to calculate theoptimum tilt and surface azimuth angle for solar system surfaces to receivemaximum solar radiation. Sabha city in Libya is selected to verify the results ofGA. The optimum surface orientation angles and the flat surface input solarenergies for these angles are calculated in monthly and yearly bases. Then, Thecomparison of different optimizations of GA and South-Facing for an inclinedsurface was compared with the horizontal surface in a year and the energygained was investigated. The total extra solar energy gained in one year for theyearly optimized surface angles of GA and South-Facing compared to thehorizontal surface are 10.8% and 10.3%, respectively. The total extra solarenergy gained in one year for the monthly optimized surface angles of GA andSouth-Facing compared to the horizontal surface are 18.72% and 18.03%,respectively. The yearly optimum tilt angle of the generic algorithm was 30.4°where the azimuth was at -19°. In another result, the yearly optimum tilt angleof south-facing was 29°. It has been figured out that the yearly optimum tiltangle of both was closed to the latitude of the location. Furthermore, the resultsindicate that the monthly based optimization improved the energy gain higherthan the yearly based optimization. The genetic algorithm optimizationperformed better results than the conventional south facing optimizationalthough the difference of the results was not significant for both yearly andmonthly total incident solar radiation.Keywords: Solar energy, Solar radiation, Orientation angles, Optimization 

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Penulis Utama : Hasan M.s.atia
Penulis Tambahan : -
NIM / NIP : S951302505
Tahun : 2015
Judul : Optimization of surface orientation angles to receive maximum solar radiation at sabha city in Libya
Edisi :
Imprint : Surakarta - Pascasarjana - 2015
Program Studi : S-2 Teknik Mesin
Kolasi :
Sumber : UNS-Pascasarjana Prog. Studi Teknik Mesin-S.951302505-2015
Kata Kunci :
Jenis Dokumen : Tesis
ISSN :
ISBN :
Link DOI / Jurnal : -
Status : Public
Pembimbing : 1. Prof. Muhammad Nizam S.T., M.T., Ph.D
2. Dr.Miftahul Anwar, S.Si., M. Eng
Penguji :
Catatan Umum :
Fakultas : Sekolah Pascasarjana
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