开发用于建筑能源管理系统的太阳辐射测量仪器
Jie Yang1, Xiaotian Wang1, Lin Li2
1Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 210044 Nanjing, China.
The Review of scientific instruments
|May 20, 2025
概括
本研究介绍了一种使用热电效应和神经网络来纠正环境错误的新型太阳辐射仪器. 新设计显著提高了太阳能应用的测量精度.
科学领域:
- 仪器仪表和测量仪器的使用
- 可再生能源系统可再生能源系统
- 在工程领域的人工智能.
背景情况:
- 精确的太阳辐射测量对于建筑设计,能源效率和智能家居技术至关重要.
- 由于环境因素,如风速,温度和空气密度等,现有的仪器会出现重大错误.
- 需要高精度的太阳辐射测量仪器,适应环境变化.
研究的目的:
- 设计和验证可减轻环境影响的太阳辐射测量仪器.
- 开发使用神经网络的错误校正算法,以提高测量准确度.
- 为了提高各种应用的太阳辐射数据的可靠性.
主要方法:
- 一个基于热电效应的太阳辐射仪器的设计.
- 利用计算流体动力学 (CFD) 进行多物理模拟,在各种环境条件下获取数据.
- 使用神经网络算法来建立太阳辐射和环境参数之间的定量关系,以纠错.
主要成果:
- 一个辐射测量错误校正算法被开发并集成到仪器中.
- 该仪表表现出高精度,最大辐射误差为-3.97%,平均误差为-0.16%.
- 在验证试验中,全尺度辐射误差始终低于3.88%.
结论:
- 拟议的带有神经网络错误校正的热电太阳辐射仪器显著提高了测量精度.
- 开发的仪器有效地减轻了环境因素对太阳辐射测量的影响.
- 这项技术为各种应用中精确监测太阳辐射提供了可靠的解决方案.
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