چکیده مقاله
In the face of intensifying climate change, global energy crises, and the urgent demand for sustainable development, architecture must transcend its traditional scope and evolve into a discipline driven by intelligence, data, and environmental responsibility This research introduces a future oriented framework that integrates artificial intelligence AI , sustainable architecture, and smart urban design into a unified strategy for climate responsive construction Bridging diverse domains such as generative form modeling, renewable energy systems, intelligent building skins, adaptive urban morphology, and predictive environmental simulation the study envisions a paradigm shift in both architectural design and education The proposed model draws upon the integration of AI based decision making, real time data inputs, and performance driven algorithms Tools such as Rhino, Grasshopper, Ladybug, and Honeybee are used to evaluate daylight autonomy, thermal comfort, natural ventilation, and energy consumption across both micro and macro design scales These methods are supported by climate responsive databases, machine learning techniques, and parametric workflows, forming a comprehensive structure that connects environmental strategy with digital design The model advocates for architects as interdisciplinary thinkers balancing technological literacy, spatial creativity, and sustainability ethics Methodologically, the study combines comparative case analysis, simulation based experimentation, and curriculum design to propose an adaptable framework for architectural education and professional practice By reviewing global practices from institutions like MIT, TU Delft, and ETH Zurich, the paper presents a model that is both academically rigorous and practically scalable The framework contributes not only to the discourse of smart, green architecture but also offers a roadmap for transforming how design pedagogy and governance engage with AI, energy transition, and climate resilience This article seeks to initiate a discourse on how digital intelligence can empower architecture to create meaningful, sustainable, and contextually responsive environments for a rapidly changing world
کلیدواژهها
نویسندگان
شیوه ارجاع
Ghaderi, Avin,1404,AI-Driven Sustainable Architecture: Towards Intelligent Urban Design, Smart Energy, and Climate-Responsive Construction,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