双面光伏组件背面辐照度工程化计算方法的研究

王彬; 白建波; 郑爽; 陈逸

doi:doi:10.19912/j.0254-0096.tynxb.2024-2235

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双面光伏组件背面辐照度工程化计算方法的研究

更新时间：2026-07-22

- 双面光伏组件背面辐照度工程化计算方法的研究
- Vol. 47, Issue 4, Pages: 713-718(2026)
- 作者机构：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-2235
  CLC： TM615
- Online First：08 May 2026，
  
  Published：2026
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王彬, 白建波, 郑爽, et al. 双面光伏组件背面辐照度工程化计算方法的研究[J]. 2026, 47(4): 713-718.
DOI：

王彬, 白建波, 郑爽, et al. 双面光伏组件背面辐照度工程化计算方法的研究[J]. 2026, 47(4): 713-718. DOI： doi:10.19912/j.0254-0096.tynxb.2024-2235.

摘要

提出一种双面光伏组件背面辐照度工程化计算方法

该方法根据阵列几何参数及水平辐照度

以简化二维的视角因子为基础

首先利用分段法得出各段地面接受的辐照度并综合考虑直射、散射、地面反射、组件正面反射

进而得到电池片级的背面辐照度。该方法改善了国内仿真软件在双面组件背面辐照度计算中精度不足的问题

将仿真结果与PVsyst及System Advisor Model（SAM）分析比较

结果表明该方法具有较高的计算精度

可为双面光伏组件工程化应用提供重要参考。

Abstract

This paper proposes an engineering calculation method for the rear-side irradiance of bifacial photovoltaic （PV） modules. Based on simplified two-dimensional view factors

the method considers array geometric parameters and horizontal irradiance. It uses a segmentation approach to determine the irradiance received by different ground segments and accounts for direct

diffuse

ground-reflected

and front-side reflected irradiance

ultimately obtaining cell-level rear-side irradiance. The method addresses the insufficient accuracy in rear-side irradiance calculation of bifacial modules in domestic simulation software. Comparisons of the simulation results with PVsyst and System Advison Model （SAM） show that it achieves higher calculation accuracy and provides significant reference for the engineering application of bifacial PV modules.

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references

HANSEN C W, STEIN J S, DELINE C, et al.Analysis of irradiance models for bifacial PV modules[C]//2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC). Portland, OR, USA, 2016: 138-143.

DELINE C, AYALA PELAEZ S, MACALPINE S, et al.Estimating and parameterizing mismatch power loss in bifacial photovoltaic systems[J]. Progress in photovoltaics: research and applications, 2020, 28(7): 691-703.

SUN X S, KHAN M R, DELINE C, et al.Optimization and performance of bifacial solar modules: a global perspective[J]. Applied energy, 2018, 212: 1601-1610.

YANG B, COX J, YUAN Y B, et al.Increased efficiency of low band gap polymer solar cells at elevated temperature and its origins[J]. Applied physics letters, 2011, 99(13): 133302.

PEREZ R, INEICHEN P, SEALS R, et al.Modeling daylight availability and irradiance components from direct and global irradiance[J]. Solar energy, 1990, 44(5): 271-289.

DUFFIE J A, BECKMAN W A.Solar Engineering of Thermal Processes[M]. 4th ed. Hoboken: Wiley, 2013: 43-137.

MARION B, MACALPINE S, DELINE C, et al.A practical irradiance model for bifacial PV modules[C]//2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). Washington, DC, USA, 2018: 1537-1542.

白建波. 太阳能光伏系统建模、仿真与优化[M]. 北京: 电子工业出版社, 2014.

YUSUFOGLU U A, PLETZER T M, KODUVELIKULATHU L J, et al.Analysis of the annual performance of bifacial modules and optimization methods[J]. IEEE journal of photovoltaics, 2015, 5(1): 320-328.

韩硕, 胡坚柯, 韩一峰, 等. 双面光伏组件建模及发电性能研究[J]. 太阳能学报, 2023, 44(9): 94-100.

张臻, 王磊, 秦志光, 等. 双面光伏组件发电性能影响因素理论与实验研究[J]. 太阳能学报, 2022, 43(3): 171-179.

陶云坤, 白建波, 邓士峰, 等. 基于蒙特卡罗方法的双面光伏组件年发电性能研究[J]. 太阳能学报, 2021, 42(11): 51-58.

MARION B.Numerical method for angle-of-incidence correction factors for diffuse radiation incident photovoltaic modules[J]. Solar energy, 2017, 147: 344-348.

PELAEZ S A, DELINE C, MACALPINE S M, et al.Comparison of bifacial solar irradiance model predictions with field validation[J]. IEEE journal of photovoltaics, 2019, 9(1): 82-88.

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