在农村社区居住的巴勒斯坦人的可持续建筑设计:利用基因算法设计阿勒颇市的土楼

Samer Mohamed Saleh Trissi, Mohamed Najib Kayali, Ahmed Samer Mohamed Saleh Trissi, Mohamed Najib Kayali, 
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引用次数: 0

摘要

本研究旨在寻找创新的设计方案,在阿勒颇城市的重建阶段,通过使用可持续发展的概念和利用自然能源,创造可持续的复合住宅塔楼。国际组织和许多国家都有兴趣应用可持续建筑标准,减少排放,减轻污染,并通过充分利用自然资源来降低建筑物的长期运营成本。塔楼建筑是最重要的设计模型之一,由于其消耗大量的能源,因此受到可持续发展概念及其应用的影响。本研究采用Grasshopper程序中的遗传算法,对阿勒颇市重建阶段的住宅复合塔楼进行可持续设计研究。塔的设计理念取决于发展和连接项目的基本设计理念与主要设计决定因素,如尺寸、高度和其他变量,包括位置和气候特征,然后在Grasshopper程序中为这些连接创建一个气压图。这个图表连接到加拉帕戈斯群岛的工具,它负责运行遗传算法。算法开始时产生随机结构,并通过杂交繁殖产生更高级的后代。该过程继续达到最合适的环境可持续形式,以减少夏季获得的热负荷。该模型使用瓢虫模拟软件进行环境评估,为适合阿勒颇市当地环境的模块化住宅塔提供解决方案。研究结果表明,采用遗传算法寻找最合适的塔体结构,可以降低太阳热负荷。在最初的解决方案和最终批准的解决方案之间减少的量为35%。研究还显示,使用绿色屋顶可以减少20%的热负荷。研究还显示了使用遮阳立面的效果。在南、西、东三个方向,热增益降低了5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable Architectural Design of the Residential Compound Towers in Aleppo City Using the Genetic Algorithm: التصميم المعماري المستدام للأبراج السكنية التراكبية في مدينة حلب باستخدام الخوارزمية الجينية
This research aims to find innovative design solution to create sustainable compound residential towers in Aleppo city, for the reconstruction phase, by using the concept of sustainability and benefiting from natural energy sources. International organizations and many countries are interested in applying sustainable architecture standards, reducing emissions, mitigating pollution, and reducing long- term operating costs for buildings by making the most of natural resources. Tower buildings are among the most important design models that have been subject to the concepts of sustainability and their applications, due to their consumption of large amounts of energy. This research presents a study of a sustainable design for a residential compound tower, for the reconstruction phase in Aleppo city, using the genetic algorithm within the Grasshopper program. The tower design Idea depends on developing and linking the basic design idea of ​​the project with main design determinants such as dimensions, heights and other variables, including location and climatic characteristics, and then creating a barometric chart for these connections within the Grasshopper program. This chart links to the Galapagos tool, which is responsible for running the genetic algorithm. The random structure is generated when the algorithm started, and as a result of the cross- breeding, more advanced generations are created. The process continues to reach the most appropriate environmentally sustainable form to reduce the heat load acquired in summer. The model is evaluated environmentally using Ladybug simulation software, to provide solutions for modular residential towers that fit the local environment of Aleppo city. The results of the research showed that the solar heat load was reduced by adopting the genetic algorithm to find the most suitable configuration for the tower. The amount of reduction is 35% between the initial solutions and the final approved solution. The research also revealed that the use of green roofs reduces the heat load by 20%. The research also showed the effect of using shading facades. On the southern, western and eastern directions, the heat gain was reduced by 5%.
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