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The construction industry stands as one of the largest consumers of natural resources, accounting for approximately 40% of global energy use, 25% of global water usage, and 30% of greenhouse gas emissions. Beyond its direct impacts on energy and resource use, the sector generates over 35% of the world's total waste, contributing significantly to environmental degradation and climate change. The scale and complexity of modern construction projects make it difficult for conventional resource management approaches to ensure sustainability, reduce waste, or optimize material use.Despite…mehr

Produktbeschreibung
The construction industry stands as one of the largest consumers of natural resources, accounting for approximately 40% of global energy use, 25% of global water usage, and 30% of greenhouse gas emissions. Beyond its direct impacts on energy and resource use, the sector generates over 35% of the world's total waste, contributing significantly to environmental degradation and climate change. The scale and complexity of modern construction projects make it difficult for conventional resource management approaches to ensure sustainability, reduce waste, or optimize material use.Despite advancements in sustainable design philosophies, green building materials, and circular economy initiatives, material inefficiency, over-extraction, and high carbon footprints persist in construction. The construction lifecycle, from raw material extraction, processing, design, procurement, on-site assembly, and eventual demolition, presents numerous opportunities for AI integration to drive sustainability.
Autorenporträt
Sanchita Nawale,is an experienced professional in Water Resource Management integrated with AI. She has over 5 years of teaching, research and industrial experience. Dr Rahul Ralegaonkar is a professor in Department of Civil Engineering at VNIT, Nagpur. He has over 20 years of teaching, research, administrative and industrial experience.