Visual representation of the BIM-driven framework for demolition waste management.
A new study has introduced a BIM-driven Digital Twin framework aimed at optimizing demolition waste management in Washington, D.C. The research addresses significant environmental challenges posed by the construction and demolition industry while enhancing economic benefits through effective recycling strategies. The framework simulates the demolition process, incorporates IoT devices, and emphasizes real-time data acquisition to improve waste management logistics. Key findings advocate for structured demolition plans that could substantially reduce energy consumption and waste production, highlighting both environmental and economic advantages.
The construction industry is a notable contributor to environmental issues, especially regarding energy use and waste generation. A recent study focuses on enhancing demolition waste management strategies through an innovative Building Information Modeling (BIM)-driven Digital Twin framework in Washington, D.C. This framework could significantly optimize processes related to building demolition, transportation, and recycling.
Construction and demolition (C&D) waste has become one of the largest contributors to global solid waste. In 2018, construction activities alone represented 36% of global energy consumption, which increased to 50% when factoring in energy used during demolition. The need for sustainable practices in construction design and demolition is crucial as C&D waste also holds substantial economic potential through recycling and resource recovery.
The study proposes a conceptual framework designed to optimize demolition and recycling processes using BIM technology. The framework aims to guide the selection of efficient demolition waste management strategies. It builds on previous efforts towards achieving net-zero energy performance in building reconstructions, focusing on enhancing construction practices that minimize environmental impacts.
By simulating the demolition process of an existing townhouse using BIM-Navisworks software, this study creates a Digital Twin that updates demolition data in real-time. This integration aids in the classification and transportation of demolition waste, significantly boosting efficiency and resource management. The resulting enhanced processes support sustainable construction practices.
The research utilizes BIM-Dynamo software for an economic analysis of demolition waste recycling. High recycling rates can enhance economic returns from demolition waste management. By analyzing various waste treatment plans with recycling rates of 50%, 80%, and 95%, the findings underscore that increased recycling correlates positively with financial benefits. Notably, while a 50% recycling rate can lead to financial deficits, rates of 80% and 95% create net positive benefits for stakeholders.
The study includes a comprehensive research methodology with three key stages: analyzing existing C&D waste management frameworks, developing a Digital Twin-Based system framework, and conducting simulation and economic benefit analyses. Each stage contributes to a nuanced understanding of demolition waste management and its associated economic impacts.
Key elements of the proposed framework include strategic demolition planning, effective data management, and engaging stakeholders throughout the demolition process. By implementing structured demolition plans, environmental impacts can be reduced by at least 50%. Additionally, the framework supports various waste management strategies, including on-site salvage, indirect recycling to treatment facilities, and managed landfilling.
Real-time data acquisition and management capabilities are enhanced through the use of Internet of Things (IoT) devices. The study identifies major questions surrounding the optimization of BIM and Digital Twin technologies for waste management. It emphasizes the necessity of adopting these advanced digital tools to foster efficiency and sustainability in construction practices.
Despite these advancements, previous frameworks lacked adequate systems for real-time C&D material tracking and effective management of waste transportation logistics. Future research is suggested to incorporate artificial intelligence and intelligent systems to further enhance decision-making processes and recycling efficiency.
The study also highlights the urgent need for strengthened policy frameworks and financial incentives to facilitate the shift towards sustainable building practices. Implementing these strategies can significantly improve the construction industry’s environmental footprint, making it a pivotal area for development as urbanization continues to rise.
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