太阳能利用潜力与空间形态相关性研究综述

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY
Dexin Li , Xiurong Cui , Ligang Shi , Yuan Li
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引用次数: 0

摘要

太阳能利用与空间形态的结合对于提高城市能源效率至关重要。本文从太阳能利用潜力相关研究进展、太阳能利用潜力与空间形态指标的相关性、空间形态优化方法与框架三个方面探讨了太阳能利用潜力评估与空间形态指标的内在联系。根据不同指标的对应类别,从总体规划、组团布局和建筑形态三个方面总结了研究结论和成效,旨在为城市可持续发展提供理论参考。综述显示,该领域的大部分研究主要采用几何形态参数和描述性形态参数来间接反映建筑的邻里关系,而更复杂的多维参数或表征建筑属性的性能参数仍有待探索。此外,有必要建立完善的综合效益评价体系,整合太阳能系统相关产品信息和建筑环境相关物理信息,同时引入先进的模拟技术和大数据分析,提高太阳能光热在建筑群体间的合理分布和利用效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An overview of the research on the correlation between solar energy utilization potential and spatial morphology
The combination of solar energy utilization and spatial morphology is crucial to improve urban energy efficiency. This paper explores the internal relationship between solar energy potential assessment and spatial form indicators from three aspects: research progress related to solar energy utilization potential, its correlation with spatial form indicators, and spatial form optimization methods and frameworks. According to the corresponding categories of different indicators, the research conclusions and effectiveness are summarized from three aspects: overall planning, group layout and architectural form, aiming to provide theoretical reference for urban sustainable development. The review shows that most of the studies in this field mainly employ geometric and descriptive morphological parameters to indirectly reflect the neighborhood relationship of buildings, while more complex multi-dimensional parameters or performance parameters characterizing building properties remain to be explored. In addition, it is necessary to build a sound comprehensive benefit evaluation system that integrates product information related to solar energy system and physical information related to building environment; in the meantime, advanced simulation technology and big data analysis will be introduced to improve the rational distribution and utilization efficiency of solar light heat among building groups.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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