Advancing Sustainable Architecture Through AI Technologies for Energy Efficiency
A Literature Review
DOI:
https://doi.org/10.58445/rars.1787Keywords:
sustainable architecture, urban planning, sustainability, regeneration, ecological design, artificial intelligence, data scienceAbstract
Rapid, global urbanization has contributed to an expansion of the built environment and a subsequent increase in global energy consumption and carbon emissions. Examining the double-edged nature of technological development shows the unprecedented opportunities offered by the growing trend of innovation, as well as the detrimental social, economic, and environmental costs. Thus, it is important to question how the current fundamentally unsustainable fields of architecture and technology can intersect, collaborating to support environmental regeneration. A review of recent advancements highlights the potential of artificial intelligence (AI) technologies for curbing these impacts and reversing ecological destruction. This research specifically focuses on the theme of energy efficiency, delving into various studies on smart energy management systems, predictive modeling and simulation, computational design, and material design. In assessing how the goals of sustainable architecture and urban planning can be supported by AI, future research avenues for holistic approaches to sustainability are uncovered. These findings present the advantage of leveraging the rapidly developing AI technology to support a momentous shift towards regeneration. Such a transition is crucial for designing buildings and urban spaces that are seamlessly integrated into the natural environment, mitigating the effects of climate change and contributing positively to our world.
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