دانلود مقاله ISI انگلیسی شماره 61684
ترجمه فارسی عنوان مقاله

سازه های درختی برای رسیدگی به تسلیحات کربن در مکان های مسکونی با کربن دی اکسید آنتروپنی؟

عنوان انگلیسی
Tree-like Structures for Addressing Carbon Capture in Megacities Charged with Anthropogenic Carbon-di-Oxide ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
61684 2014 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Engineering, Volume 95, 2014, Pages 518–527

ترجمه کلمات کلیدی
کربن ضبط، زمینه های برداشت عمودی، ساختمان های سبز هلیکال، مدل سازی ساختار درخت
کلمات کلیدی انگلیسی
Carbon capture; Vertical harvesting fields; Helical green buildings; Tree structure modelling

چکیده انگلیسی

Alarming values of carbon emission in megacities charged with anthropogenic carbon-di-oxide continued to draw international attention. At present, creating green packets with high plant density was the only implementable solution for the carbon capture. In this paper, we propose, a strategy of increasing the packing density of the plants by creating tree-like building structures. The essential features of the building were modelled mathematically by emulating a natural tree. Cantilever balconies were designed similar to leafs of a natural tree to host the plants for carbon capture. The simulation assumed constant node to node distance, two leafs per node, each leaf trapezoidal in shape and perpendicular to stem. For various values of helix angle, pitch, leaf dimensions, number of leafs per node and cycles, the simulation calculated the area for carbon capture, land needed, slenderness of the building and percentage benefit on area created over the land available. It was found that typically about 200% extra area can be created for carbon capture for a given land. REVIT Architecture software was used to design a typical building structure. The structure was adoptive to futuristic carbon capture technologies like algae harvesting, chemical neutralization, CO2 conversion into bio-fuel. Integration of Human habitation can be a value added feature.