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Parametric study of URBAN morphology on building solar energy potential in Singapore context
Urban Climate ( IF 6.4 ) Pub Date : 2020-05-25 , DOI: 10.1016/j.uclim.2020.100624
K.H. Poon , J.H. Kämpf , S.E.R. Tay , N.H. Wong , T.G. Reindl

In 2014, the Singapore government announced plans to increase the adoption of solar power, including by integrating solar PV systems into the urban environment. Careful planning of a neighbourhood at early design stage, which determines the overall urban morphology, is important for effective deployment of solar panels in urban environment. This study performed parametric assessment to understand the relationship between urban morphology and the annual average irradiance on rooftop and façade in Singapore context. It also compares the correlation performance of building irradiance with the two definitions of Sky View Factor (SVF). Among the 10 selected morphology parameters, the correlation analysis shows the correlation performances of both definitions of SVF are the strongest (r = 0.94 to 1). As obtaining the value of SVF is not simple, two multilinear regression predictive models for rooftop and façade irradiance are developed. There is a significant improvement in adjusted R2 of the rooftop irradiance model (R2 = 0.61) when comparing the R2 of other individual parameters (R2 = 0 to 0.36). It is anticipated that the results of this study 1) would be useful for urban planners considering urban PV integration for sustainable cities; and 2) can provide a simpler way to give a rough estimation of SVF, which is commonly used for the parametric studies related to research areas such as urban microclimate and urban renewable energy utilization.



中文翻译:

新加坡环境下城市形态对建筑太阳能潜力的参数研究

2014年,新加坡政府宣布了增加太阳能利用的计划,包括将太阳能光伏系统集成到城市环境中。在设计的早期阶段仔细规划社区,这将决定整体的城市形态,这对于在城市环境中有效部署太阳能电池板至关重要。这项研究进行了参数评估,以了解新加坡背景下城市形态与屋顶和立面年平均辐照度之间的关系。它还将建筑物辐照度的相关性能与“天空视野因子”(SVF)的两个定义进行了比较。在选择的10个形态学参数中,相关分析表明两种SVF定义的相关性能最强(r = 0.94到1)。由于获得SVF的价值并不简单,因此针对屋顶和立面辐照度开发了两个多线性回归预测模型。有在调节R A显著改善2屋顶辐照度模型的(R 2  = 0.61)比较将R时2其他各个参数的(R 2  = 0〜0.36)。预期该研究的结果1)对于考虑可持续发展城市的城市光伏整合的城市规划者将是有用的;和2)可以提供一种更简单的方法来粗略估计SVF,这通常用于与研究领域有关的参数研究,例如城市小气候和城市可再生能源利用。

更新日期:2020-05-25
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