Title :
Optimization of an Epoxy-based solar cell module structure by using Grey Relational Analysis
Author :
Tsai, Ming-Jong ; Kuo, Hung-fei ; Peng, Cheng-yu ; Yang, Ming-fu ; Cheng, Chao-hung
Author_Institution :
Grad. Inst. of Autom. & Control, Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
With the growing consumption of oil, the most popular energy for environmental protection is "solar cell". In a solar cell module, the surface will affect the overall yield efficiency of power generation. This study utilizes an optical grade Epoxy (EPO-TEK 301-2FL) to replace the Ethylene Vinyl Acetate (EVA) for solar cell modules, and to explore the electrical characteristics (IV) of Epoxy-based solar cell modules. In the manufacturing process of Epoxy-based solar cell modules, the effect of controlled parameters such as Epoxy thickness, curing temperature and curing time for module packaging results is studied for optimization of multiple quality of control factor by using the Grey Relational Analysis (GRA). Then, nine sets of measured electrical properties such as power and fill factor (F.F) are used to obtain the best of the analysis process.
Keywords :
environmental factors; grey systems; optimisation; solar cells; EPO-TEK 301-2FL; EVA; control factor; curing temperature; curing time; electrical characteristics; environmental protection; epoxy thickness; epoxy-based solar cell module structure; ethylene vinyl acetate; fill factor; grey relational analysis; module packaging; optical grade epoxy; optimization; power generation yield efficiency; Curing; Equations; Glass; Machine learning; Mathematical model; Photovoltaic cells; Temperature; Epoxy-based; Ethylene Vinyl Acetate (EVA); Fill factor (F.F); Grey Relational Analysis (GRA); Solar cell;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016871
