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A review: Integration of renewable energy sources in sustainable architecture

عنوان مقاله: A review: Integration of renewable energy sources in sustainable architecture
شناسه ملی مقاله: CAUCONG03_066
منتشر شده در سومین کنگره بین المللی مهندسی عمران، معماری، مصالح ساختمانی و محیط زیست در سال 1402
مشخصات نویسندگان مقاله:

Fatemeh Askari - Areview : Integration of renewable energy sources in sustainable architecture

خلاصه مقاله:
In the present paper, we have provided a comprehensive review of cases of the critical intersections between sustainable architecture and renewable energy integration. Sustainable architecture is portrayed as an important aspect of green construction, a more responsible built environment that significantly impacts ecological, social, and economic landscapes. Renewable energy sources, including solar, wind, hydropower, geothermal, and biomass, are presented as indispensable components of modern architecture and urban development, offering eco-friendly solutions for energy needs. Challenges in renewable energy adoption, such as cost, maintenance, integration, and regulatory barriers, are discussed as well as the importance of collaboration among stakeholders to overcome these obstacles. Furthermore, the utilization of Deep Learning (DL) techniques for precise renewable energy prediction is highlighted as a significant development. The growing relevance of the circular economy (CE) concept in the green construction of industries is emphasized, along with its implications and challenges. Lastly, the positive impact of renewable energy integration in logistics on environmental and economic performance was stated by acknowledging potential hindrances related to public health expenditures and environmental sustainability. These insights collectively underscore the imperative nature of sustainable architecture and renewable energy integration in shaping a more .harmonious and regenerative future for our planet and society.

کلمات کلیدی:
Sustainable architecture, Renewable energy integration, Green building, Deep Learning for renewable energy prediction, Circular economy in construction

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1969835/