Simplified vector-based model tailored for urban-scale prediction of solar irradiance
Simplified vector-based model tailored for urban-scale prediction of solar irradiance
复制标题
专为城市规模的太阳辐照度预测而定制的简化的基于矢量的模型
DOI：
10.1016/j.solener.2019.03.023
复制
发表时间：
2019-05
期刊：
影响因子：
6.7
通讯作者：
Xu Shen
中科院分区：
文献类型：
--
作者：
Liao Wei;Heo Yeonsook;Xu Shen
本文提出了一个简化的矢量模型的基础上考虑的城市背景下，有效地预测城市地区的太阳能潜力。所提出的模型是基于矢量的方法，而不使用射线跟踪和射线拦截技术，但包括新的方法，适当地考虑到天空的不均匀的太阳辐射，城市表面的阻碍，和城市表面在城市地区的反射。该模型建立了三种新的方法来简化城市应用背景下的计算：（1）两段离散化模型，（2）边缘角度检测障碍物模型，（3）统一的基于视角的反射模型。该方法的性能进行了比较，对先进的日光模拟程序的辐射和控制实验获得的测量。第一次比较表明，新方法为不同的分辨率和预测精度要求提供了灵活的设置选项，并生成了相当准确的预测。第二次比较表明，所提出的模型引起的平均绝对差异为6%和5%相比，从水平和垂直表面的实际测量，分别。结果表明，与射线拦截方法相比，该方法在检测天空和建筑物障碍物时所需的计算迭代次数要少得多。
This paper presents a simplified vector-based model on the basis of consideration of the urban context to effectively predict the solar potential of urban areas. The proposed model is based on vector-based methods without the use of ray trace and ray interception techniques, yet consists of new methods that suitably account for the nonuniform solar radiation of the sky, obstruction by urban surfaces, and reflection by urban surfaces in urban areas. The proposed model establishes three new methods to simplify the calculation in the context of urban applications: (1) a two-segment discretization model, (2) an edge angle detection obstruction model, and (3) a unified view-angle-based reflection model. The performance of the method was compared against the advanced daylight simulation program RADIANCE and measurements obtained from controlled experiments. The first comparison demonstrated the new method provided flexible setting options for different resolution and prediction accuracy requirements and generated reasonably accurate predictions. The second comparison showed that the proposed model elicited average absolute differences of 6% and 5% compared to the actual measurements from the horizontal and vertical surfaces, respectively. In comparison with ray interception approach, the results showed that the proposed method required a much lower number of calculation iterations for detecting sky and building obstructions.
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DOI：
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发表时间：
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期刊：
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影响因子：
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发表时间：
2017-08
期刊：
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
影响因子：
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