为设计一个中央接收器太阳能热电站的设计,基因算法优化了立体场布局
Muhammad Haris1, Atiq Ur Rehman1, Sheeraz Iqbal2
1Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta 87300, Pakistan.
Heliyon
|November 30, 2023
概括
优化太阳能热发电厂的立体现场布局可显著提高年度效率. 基因算法优化提高了8.52%的辐射分层布局和费尔马图的优化.
科学领域:
- 可再生能源工程可再生能源工程
- 太阳能热发电系统 太阳能热发电系统
- 光学工程是指光学工程.
背景情况:
- Heliostat 现场布局严重影响中央接收器太阳能热电厂的光学损失和功率输出.
- 现有的布局面临着最大限度地提高年度效率和能源生产的挑战.
研究的目的:
- 为巴基斯坦奎达市的50兆瓦中央接收器太阳能热电厂提出一个优化的立体现场布局.
- 为了评估和提高辐射分级和费马螺旋立体分布的性能.
主要方法:
- 使用遗传算法 (GA) 进行排斥采样以进行优化.
- 优化了主要的直升机场参数:安全距离 (DS),塔高度 (TH),宽度长度比 (WR) 和直升机长度 (LH).
- 分析了四个关键年度设计点的性能:春分,夏至,秋分和冬至.
主要成果:
- GA优化提高了8.52%的辐射分级布局效率,减少了364.4%的立体计数.
- 费马螺旋配置实现了14.62%的年度效率提高,减少了434个立体.
- MATLAB被用于系统开发和优化结果的验证.
结论:
- 基因算法优化为中央接收器太阳能热电厂的年度效率提供了实质性的改进.
- 费马螺旋布局表现出优越的性能和效率增长,与优化下的辐射分级布局相比.
- 优化立体现场设计可以显著减少所需的立体数量,同时提高整体工厂性能.
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