ﻣﺪلﺳﺎزي و ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ ﺳﺎﺧﺘﺎر ﺳﻠﻮل ﺧﻮرﺷﯿﺪي دوﭘﯿﻮﻧﺪي ﺑﺎ ﺷﮑﺎف اﻧﺮژي ﻣﺴﺘﻘﯿﻢ ﻣﺒﺘﻨﯽ ﺑﺮ اﻟﮕﻮرﯾﺘﻢ ﻣﻮﻧﺖ ﮐﺎرﻟﻮ ﮔﺮوﻫﯽ

Modeling and Analysis of Two-junction Direct Bandgap Solar Cell Based on Ensemble Monte Carlo Algorithm

ﭼﮑﯿﺪه: در اﯾﻦ ﺗﺤﻘﯿﻖ، ﻫﺪف، ﻃﺮاﺣﯽ و اراﺋﻪ ﯾﮏ اﻟﮕﻮرﯾﺘﻢ ﺟﻬﺖ ﻣﺪل ﺳﺎزي و ﺷﺒﯿﻪ ﺳﺎزي ﻣﻮﻧﺖ ﮐﺎرﻟﻮ ﺳﻠﻮل ﻫﺎي ﺧﻮرﺷﯿﺪي دو ﭘﯿﻮﻧﺪي و ﭘﯿﺎدهﺳﺎزي ﻧﺮماﻓﺰاري آن اﺳﺖ. اﻣﺮوزه ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﻫﻤﯿﺖ ﻃﺮاﺣﯽ ﺳﻠﻮلﻫﺎي ﺧﻮرﺷﯿﺪي ﺑﺎ ﺑﻬﺘﺮﯾﻦ راﻧﺪﻣﺎن، راﻫﮑﺎر اﺳﺘﻔﺎده از ﺳﻠﻮلﻫﺎي ﺧﻮرﺷﯿﺪي ﭼﻨﺪﭘﯿﻮﻧﺪي در ﻃﺮاﺣﯽ و ﺳﺎﺧﺖ ﭘﻨﻞﻫﺎي ﺧﻮرﺷﯿﺪي ﺗﺒﺪﯾﻞ ﺑﻪ اﻣﺮي اﺟﺘﻨﺎب ﻧﺎﭘﺬﯾﺮ ﺷﺪه اﺳﺖ. ﮔﺮﭼﻪ ﻧﯿﻞ ﺑﻪ اﯾﻦ ﻫﺪف، اﻓﺰاﯾﺶ ﭘﯿﭽﯿﺪﮔﯽ ﺳﺎﺧﺘﺎر ﺳﻠﻮل را ﺑﻪ ﻫﻤﺮاه ﺧﻮاﻫﺪ داﺷﺖ، ﻟﯿﮑﻦ، ﺷﺒﯿﻪ ﺳﺎزي اﯾﻦ اﻓﺰاره و ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ رﻓﺘﺎر اﻟﮑﺘﺮﯾﮑﯽ و اﻟﮑﺘﺮوﻧﯿﮑﯽ آن ﭘﯿﺶ از آﻏﺎز ﻓﺮآﯾﻨﺪ ﺳﺎﺧﺖ، روﻧﺪ دﺳﺘﯿﺎﺑﯽ ﺑﻪ ﺳﻠﻮل ﺑﻬﯿﻨﻪ را ﺗﺴﺮﯾﻊ ﺧﻮاﻫﺪ ﮐﺮد. ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ ﻣﺎﻫﯿﺖ ﺗﺼﺎدﻓﯽ ﺣﺮﮐﺖ اﻟﮑﺘﺮونﻫﺎ و ﺣﻔﺮهﻫﺎ در ﺳﻠﻮل ﺧﻮرﺷﯿﺪي و ﺗﻮاﻧﺎﯾﯽ اﻟﮕﻮرﯾﺘﻢ ﻣﻮﻧﺖ ﮐﺎرﻟﻮ در ﻣﺪلﺳﺎزي ﭘﺪﯾﺪهﻫﺎي ﺗﺼﺎدﻓﯽ، اﺳﺘﻔﺎده از اﯾﻦ روش اﻃﻼﻋﺎت دﻗﯿﻖﺗﺮي از ﻣﺸﺨﺼﻪ ﻫﺎي اﻓﺰاره ﻧﺴﺒﺖ ﺑﻪ روشﻫﺎي راﻧﺶ-دﯾﻔﯿﻮژن و ﻫﯿﺪرودﯾﻨﺎﻣﯿﮏ ﻓﺮاﻫﻢ ﺧﻮاﻫﺪ ﻧﻤﻮد. در اﯾﻦ ﺗﺤﻘﯿﻖ، ﺑﻪ ﻣﻨﻈﻮر اﻧﻄﺒﺎق ﺑﯿﺸﺘﺮ رﻓﺘﺎر اﻓﺰاره ﻣﺪلﺳﺎزي ﺷﺪه ﺑﺎ ﻧﻤﻮﻧﻪ واﻗﻌﯽ، از روش ﻣﻮﻧﺖ ﮐﺎرﻟﻮ ﮔﺮوﻫﯽ ﺟﻬﺖ ﺷﺒﯿﻪ ﺳﺎزي ﺣﺮﮐﺖ ذرات در ﺳﻠﻮل دوﭘﯿﻮﻧﺪي اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. از ﺟﻤﻠﻪ ﻣﺸﺨﺼﻪ ﻫﺎي اﻟﮑﺘﺮﯾﮑﯽ و اﻟﮑﺘﺮوﻧﯿﮑﯽ ﻣﺴﺘﺨﺮج از ﺳﻠﻮل ﻣﻮرد ﻣﻄﺎﻟﻌﻪ، ﻋﺒﺎرﺗﻨﺪ از: ﺗﻮزﯾﻊ ﻏﻠﻈﺖ ﺣﺎﻣﻞﻫﺎي ذاﺗﯽ و ﻧﻮري در ﻃﻮل اﻓﺰاره، ﺗﻮزﯾﻊ اﻧﺮژي ﺣﺎﻣﻞﻫﺎ در ﻃﻮل اﻓﺰاره، ﺗﻮزﯾﻊ ﭘﺘﺎﻧﺴﯿﻞ اﻟﮑﺘﺮﯾﮑﯽ و ﻣﻨﺤﻨﯽ ﺟﺮﯾﺎن-وﻟﺘﺎژ ﺳﻠﻮل. در اﯾﻦ ﺗﺤﻘﯿﻖ از ﻧﺮم اﻓﺰار ﻣﺘﻠﺐ، ﻧﺴﺨﻪ 5.0.R2018b(9، ﺑﻪﻣﻨﻈﻮر ﺷﺒﯿﻪ ﺳﺎزي ﺳﻠﻮل ﺧﻮرﺷﯿﺪي دو ﭘﯿﻮﻧﺪي، ﻣﺒﺘﻨﯽ ﺑﺮ روش ﻣﻮﻧﺖ ﮐﺎرﻟﻮ ﮔﺮوﻫﯽ اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ.

In this paper, Ensemble Monte Carlo modeling and simulation of two-junction solar cells is presented. Nowadays, due to the importance of designing the high efficiency solar cells, using of two-junction solar cells to construct solar panels has become inevitable. Although, this approach will increase the complexity of the cell structure, but analyzing the electrical and electronic device behavior prior to initiating the manufacturing process will speed up the achieving of optimal cell. Considering the random motion of electrons and holes in the solar cell and the capability of the Monte Carlo algorithm to model random phenomena, it provides more accurate information about device than drift-diffusion and hydrodynamic methods. In this study, in order to further adapt the behavior of the modeled device to its fabricated, the Monte Carlo method was used to simulate the drift-scat of particles. In addition, in order to solve the Poisson equation and to calculate the potential distribution and electric field, the Gamel numerical method is used. Electrical and electronic features derived are included as the distribution of intrinsic and photo carrier concentrations, the energy distribution of the carrier along to the cell, the electrical potential distribution and the cell current-voltage curve. In this research MATLAB R2018b (9.5.0) software had been used to simulate of two-junction solar cell based on Ensemble Monte Carlo Algorithm