蒙特卡洛射线追踪模拟视图因子,用于在圆柱形光生物反应器阵列中的分散太阳辐射测定,用于微藻种植
Yihan Zheng1, Lifeng Li1, Shengkai Dai1
1School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Bioresource technology
|July 13, 2025
概括
这项研究开发了一种蒙特卡罗射线跟踪模型,用于分析光生物反应器 (PBR) 阵列中的视图因素. 结果显示,相互遮阳显著影响辐射,分层布局将视图因素降低高达97%.
科学领域:
- 光生物反应器技术的技术.
- 可再生能源系统可再生能源系统
- 太阳能能源的利用 太阳能能源的利用
背景情况:
- 光生物反应器 (PBR) 对于微藻种植至关重要.
- 精确估计太阳辐射对于PBR效率至关重要.
- 户外PBR阵列配置会影响光线的可用性.
研究的目的:
- 开发一个蒙特卡罗射线跟踪 (MCRT) 模型,用于计算室外PBR阵列中的视图因子.
- 分析PBR尺寸,间距和阵列布局对视图因素的影响.
- 建立PBR系统中分散辐射量化的方法.
主要方法:
- 开发一个蒙特卡罗射线追踪 (MCRT) 模型.
- 模拟圆柱形PBRs的方形,分层和生物仿真阵列配置.
- 分析PBR尺寸,PBR间距,以及布局对视图因素的影响.
主要成果:
- 视图因素主要是由相互遮阳效应决定的.
- 分散的阵列显示了中央PBR,其视度因子比外围单元低多达97%.
- 在分层数组中减少PBR间距,平均视图因子降低了46% (0.301至0.163).
- 平均视图因子:正方形 (0.2410),分阶 (0.2416),仿生 (0.2259) 的情况.
结论:
- MCRT模型提供了一种可靠的方法来量化PBR阵列中的分散辐射.
- 阵列布局和间距显著影响光分布和PBR性能.
- 这种方法对于准确的PBR多物理模拟和优化至关重要.
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