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Comparative Analysis between different types of Responsive Design Approach: (Applicability to Use in Different Climatic Regions in Egypt)

Domaine:

environment and energy

Type de record:

paper
Créateur:
ManVit
Éditeur:
IOP
Hôte:
Abstract Building and environment integration are necessary to be enabled, and advanced systems must work together to deliver optimal performance in terms of energy comfort and health. Above all, the area where building technology and services overlap, i.e. responsive building components, has great potential to realize the next step in energy efficiency by realizing comfortable indoor and outdoor environments in unprecedented ways. Recent studies have shown that an important reason for introducing new methods as population density increases is to reduce environmental damage. Energy consumption in the built environment accounts for approximately 40% of final energy consumption. In addition, external factors that affect building performance are analyzed, such s Overall building impact, energy consumption, pollution, and climate change. To achieve sustainability, it is proposed to use and implement the latest in smart materials and responsive system technology. The results of the dynamic thermal behavior analyze performed in the Building Concepts building simulation tool are then translated into energy, sustainability, and cost performance indicators, allowing the user to generate information based on the most relevant factors. This paper, therefore sheds light on new design and construction methods that enable buildings to interact with their external environment and achieve architectural responses to surrounding variables. This study aims to clarify the importance of responsive architecture to improve the built environment and the appropriate type of envelope based on climate data, applicable to different climatic regions of Egypt. The results confirm that implementing responsive envelopes has a positive impact on improving performance.

Visit

doi.org

Licenses

http://creativecommons.org/licenses/by/3.0/https://iopscience.iop.org/info/page/text-and-data-mining

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