Adaptive Architecture Based on Environmental Performance: An Advanced Intelligent Façade (AIF) Module

Abstract

Adaptive façades can enhance energy efficiency in buildings while also sustaining user comfort by using performance-driven decision-making strategies. As a sub-category of adaptive façades, advanced and intelligent façades are executed efficiently by means of mechanisms consisting of sensors, processors and actuators that systematically participate in decision-making processes via control systems. However, the conflicts occur in decision-making processes regarding the compensation between energy conservation and user demands, and material fatigue caused by the extensive movement of kinetic façade components. In this article, it is aimed to develop a novel decision-making approach embedded in a prototype named Advanced Intelligent Façade (AIF) module based on statistical data by proposing critical decision and priority algorithm, which is lacking in the case studies of intelligent façades to solve conflicts in boundary conditions. The methodology of the paper is to verify the proposed system consisting of electromechanical module and decision-making algorithms via simulation according to four scenarios that is implemented of the weather data of equinox dates in Mediterranean climate. The proposed system is simulated in the digital medium by comparing the outcomes with the static façade in terms of indoor temperature. According to the simulation, the proposed strategy is determined as an efficient and performative alternative by optimizing the environmental parameters such as heat, light and humidity levels with the user demand for the specific temperature ranges. Thus, the AIF module can be employed in the buildings as a sustainable façade system.

Keywords

• Adaptive Façade
• Intelligent Façade
• Decision-making system
• Simulation
• Prototyping

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