Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy
Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy
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DOI：
10.1016/j.jclepro.2019.03.172
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发表时间：
2019-06-20
影响因子：
11.1
通讯作者：
Owolabi, Hakeem A.
中科院分区：
文献类型：
--
作者：
Akanbi, Lukman A.;Oyedele, Lukumon O.;Owolabi, Hakeem A.
尽管建筑信息模型对于模拟不同生命周期阶段的建筑性能具有相关性，但用于评估报废影响的做法并不常见。尽管全球可持续发展和循环经济议程要求建筑物在整个生命周期中对环境的影响必须最小化。因此，在本研究中，开发了拆卸和解构分析系统，以从设计阶段提供建筑物的报废性能评估。该系统架构建立在管理建筑设计和施工过程的现有建筑信息建模功能之上。该架构由四个不同的层组成，即（i）数据存储层，（ii）语义层，（iii）分析和功能模型层以及（iv）应用程序层。这四层在逻辑上连接在一起，作为一个系统发挥作用。拆卸和解构分析系统的三个关键功能，即 (i) 建筑全寿命性能分析 (ii) 建筑元素解构分析和 (iii) Design for Deconstruction Advisor 在 Revit 2017 中作为插件实现。案例研究建筑设计的三个场景用于测试和评估系统的性能。结果表明，建筑信息建模软件功能可以扩展，为评估建筑设计在循环经济原则（即在经济中永久保持材料的蕴含能量）方面的表现提供平台。拆卸和解构分析系统将确保建筑物的设计遵循拆卸和解构设计原则，从而保证有效的材料回收。拆卸和解构分析工具还可以作为决策支持平台，政府和规划者可以使用它来评估建筑设计对循环经济和可持续性要求的合规程度。 (C) 2019 年作者。由爱思唯尔有限公司出版
Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life impacts is not a common practice. Even though the global sustainability and circular economy agendas require that buildings must have minimal impact on the environment across the entire lifecycle. In this study therefore, a disassembly and deconstruction analytics system is developed to provide buildings' end-of-life performance assessment from the design stage. The system architecture builds on the existing building information modelling capabilities in managing building design and construction process. The architecture is made up of four different layers namely (i) Data storage layer, (ii) Semantic layer, (iii) Analytics and functional models layer and (iv) Application layer. The four layers are logically connected to function as a single system. Three key functionalities of the disassembly and deconstruction analytics system namely (i) Building Whole Life Performance Analytics (ii) Building Element Deconstruction Analytics and (iii) Design for Deconstruction Advisor are implemented as plug-in in Revit 2017. Three scenarios of a case study building design were used to test and evaluate the performance of the system. The results show that building information modelling software capabilities can be extended to provide a platform for assessing the performance of building designs in respect of the circular economy principle of keeping the embodied energy of materials perpetually in an economy. The disassembly and deconstruction analytics system would ensure that buildings are designed with design for disassembly and deconstruction principles that guarantee efficient materials recovery in mind. The disassembly and deconstruction analytics tool could also serve as a decision support platform that government and planners can use to evaluate the level of compliance of building designs to circular economy and sustainability requirements. (C) 2019 The Authors. Published by Elsevier Ltd.