摘要 能源與碳排放是目前全球最關切的議題。石化資源即將耗盡,二氧化碳造成的溫室效應,導致全球氣候異常等多重因素下,使得太陽能備受矚目,更是21世紀最有發展淺力的光電技術之一,而台灣也在2010年躍居全球太陽能電池及模組第四大生產基地。但是目前太陽能每度電發電成本仍偏高,因此全球都極力研究如何提高太陽能的轉換效率及如何降低太陽能製造成本。 本研究即是針對太陽能多晶矽切片製程的A Grade、Thickness、TTV、SM找出9個影響因子,每個影響因子設定2個實驗水準,進行29-4部分因子實驗設計,找出最佳化的太陽能多晶矽切片製程參數組合,再依最佳化的參數組合進行5次驗證實驗,驗證其最佳化參數組合是可靠的。
ABSTRACT So far, energy sources outage and carbon footprint have been the primary concern issues worldwide. Solar energy has gained much attention, Because of oil resources are running out and Green House effect resulting from the emission of carbon dioxide release leads to global warming change. Solar energy is one of the most promising photovoltaic technologies in the 21st century, Besides Taiwan has been ranked as the fourth large production base in solar cells and modules in 2010. However, the generation cost per Kwh of solar power is still high currently; Thus, people throughout the world are eager to put much attention on finding out how to improve the conversion efficiency of solar energy and to reduce the production costs of solar power. This research focus on four target levels to the process of solar wafer slicing process, A Grade、Thickness、TTV and SM. According to nine effect factors, Every factor was set as two levels, Then use 29-4 partial factor design of experiment to find the optimal solution to the process of solar wafer slicing. To confirm the optimization parameter is suitable in this study. We design five optimization product parameter experiments to confirm the results will be accepted for these optimization parameters.