چکیده مقاله
With the escalating energy consumption in urban buildings and the consequent environmental impacts, the adoption of advanced energy optimization methods in architectural design has become imperative This study focuses on enhancing the energy performance of urban buildings through architecture design optimization based on genetic algorithms Initially, key parameters influencing building energy consumption including geometric form, orientation, fenestration placement, and material properties were systematically modeled These parameters were then encoded as decision variables within a genetic algorithm framework to intelligently and efficiently explore a vast design solution space The primary objective was to minimize heating and cooling energy demands under various urban climatic conditions By integrating numerical energy simulation with the genetic algorithm, multiple generations of optimized architectural solutions were generated and evaluated The results demonstrate that this approach significantly improves building energy performance and offers effective strategies for sustainable, low energy architectural design This methodology enables architects to make informed design decisions in early stages while preserving functional and aesthetic requirements, ultimately contributing to the creation of buildings with optimized energy consumption and reduced environmental footprint
کلیدواژهها
نویسندگان
Razieh Rahmati
Master of Architecture, University of Science and Culture, Tehran, Iran
شیوه ارجاع
Rahmati, Razieh,1404,Optimization of Urban Building Energy Performance through Architectural Design Based on Genetic Algorithms,Third International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی پژوهش های کاربردی در مهندسی عمران، معماری و شهرسازی30 آبان 1404