臺灣博碩士論文加值系統

本研究透過使用SCAPS數值模擬軟體，並使用帕松方程式(Poisson's Equation)以及電子與電洞連續性方程式(continuity equations for electrons and holes)以此兩種方程式作為物理模型進行機械式堆疊結構模擬，上層太陽能電池使用近年來興起的有著優異的光電特性的鈣鈦礦材料，並選取八種不同能隙的鈣鈦礦與下層可調能隙範圍廣泛和具可饒性的銅銦鎵硒(CuInGaSe, CIGS)材料做組合搭配。結果顯示，在使用AM1.5G光譜與300K環境溫度下，在上層不同能隙鈣鈦礦材料中以甲基胺基碘化鍺(MAGeI3)能隙為1.9 eV與下層CIGS能隙為1.15 eV的組合搭配有著最佳轉換效率，上層厚度和摻雜濃度分別為2000 nm和1019 cm-3時最佳轉換效率為23.05%，下層厚度和摻雜濃度則是分別為 2000 nm 和 1019 cm-3時有著最佳轉換效率12.81%，因此整體的轉換效率可達 35.86%，以此結果提供給研究學者們一個機械式堆疊結構研究方向的參考。

In this study, the mechanical stack structure simulation is carried out by using SCAPS numerical simulation software, and use Poisson's Equation and continuity equations for electrons and holes as physical models to simulate mechanical stack structures, the upper solar cell uses the perovskite material with excellent photoelectric properties that has emerged in recent years, and selects eight perovskites with different energy gaps and the lower layer with a wide range of adjustable energy gaps and the flexibility of copper indium gallium selenide ( CuInGaSe, CIGS) materials for combination and matching. The results show that under the use of AM1.5G spectrum and 300K ambient temperature, among the perovskite materials with different energy gaps in the upper layer, the energy gap of methylamino germanium iodide (MAGeI3) is 1.9 eV and the energy gap of CIGS in the lower layer is 1.15 eV. The combination has the best conversion efficiency, the best conversion efficiency is 23.05% when the upper layer thickness and doping concentration are 2000 nm and 1019 cm-3 respectively, and the lower layer thickness and doping concentration are 2000 nm and 1019 cm-3 respectively With the best conversion efficiency of 12.81%, the overall conversion efficiency can reach 35.86%. This result provides researchers with a reference for the research direction of mechanical stacked structures.

中文摘要 I
Abstract II
致謝 III
目 錄 IV
表 目 錄 VI
圖 目 錄 VII
第一章 緒論 1
1.1 背景資料 1
1.2 文獻回顧 4
1.3 研究目的 6
第二章 研究方法 7
2.1 太陽能電池基礎理論 7
2.1.1 太陽能光譜AM1.5 7
2.1.2 太陽能電池轉換效率 8
2.2 SCAPS模擬軟體介紹 10
2.2.1 物理模型 11
2.3 元件結構 12
2.4 太陽能電池架構-機械式堆疊 19
第三章 結果與討論 20
3.1 上層鈣鈦礦電子電洞傳輸層之優化 20
3.1.1 上層鈣鈦礦電子傳輸層之厚度優化(固定吸收層800nm) 20
3.1.2 上層鈣鈦礦電洞傳輸層之厚度優化(固定吸收層800nm) 22
3.1.3 上層鈣鈦礦電子傳輸層之摻雜濃度優化(固定吸收層800nm) 24
3.1.4 上層鈣鈦礦電洞傳輸層之摻雜濃度優化(固定吸收層800nm) 26
3.2 上層鈣鈦礦吸收層之優化 28
3.2.1 上層鈣鈦礦太陽能電池之厚度改變 28
3.2.2 上層鈣鈦礦太陽能電池之摻雜濃度改變 33
3.3 下層CIGS緩衝層CdS之優化 38
3.3.1 下層CIGS緩衝層CdS之厚度改變(固定吸收層為800nm) 38
3.3.2 下層CIGS緩衝層CdS之摻雜濃度改變(固定吸收層為800nm) 40
3.4 下層CIGS Eg(1.1)吸收層之優化 42
3.4.1 對應上層能隙1.9 eV光譜之厚度改變 42
3.4.2 對應上層能隙1.9 eV光譜之摻雜濃度改變 44
3.5 下層CIGS能隙優化(1.04 eV~1.69 eV) 46
3.6 下層CIGS能隙優化(1.04 eV~1.16 eV) 51
3.7 缺陷密度(Nt) 61
3.8 電子親和力與能隙之影響 63
3.8.1 吸收層不同能隙與電子親和力之影響 63
3.8.2 電子傳輸層不同能隙與電子親和力之影響 64
3.8.3 電洞傳輸層不同能隙與電子親和力之影響 65
3.8.4 能帶圖 66
3.9 量子效應(Quantum Efficiency) 67
3.10 吸收係數(Absorption Coefficient) 68
第四章 結論 70
參考文獻 71

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