Quantification of Construction Waste in Early Design Stages Using Bim-Based Tool
|Quiñones Rodríguez, Rocío
Montes Delgado, María Victoria de
Cortés Albalá, Isidro
|Universidad de Sevilla. Departamento de Expresión Gráfica e Ingeniería en la Edificación
Universidad de Sevilla. Departamento de Construcciones Arquitectónicas I (ETSA)
Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE)
|Construction and demolition waste represents a growing environmental, social, and economic problem, and has become a priority for European and worldwide policies. The early quantification of construction waste is essential ...
Construction and demolition waste represents a growing environmental, social, and economic problem, and has become a priority for European and worldwide policies. The early quantification of construction waste is essential for the minimisation of its production and the improvement of waste management. This requires the development of design-based tools that enable a better understanding of the expected waste produced during the construction phase. Building Information Modelling (BIM) methodologies have gained recognition in the Architecture, Engineering, Construction, and Operations (AECO) sector, largely due to their capacity for data simulation, storage, and management during the building design phase. This study presents a software application, called WE-BIM Add-in, to quantify construction waste (CW) while designing the BIM model in Revit. A validated CW quantification model which enables waste types and quantities per building element to be predicted in detail according to the European List of Waste (LoW) is integrated into the Revit workflow. Design alternatives could be effortlessly simulated in real time to assist practitioners in decision-making during the early design stages. Two alternative structural systems of a Spanish residential building were compared: a reinforced concrete structure, Option 1 (O1), and a steel structure, Option 2 (O2). The results were obtained automatically: O2, in addition to reducing 56% of O1′s waste, would have increased the waste recycling rate by 49%; and displayed in Revit, thereby remaining consistent with those of other studies that compare prefabricated systems with in situ systems. This work provides a basis for future research into the automated estimation of construction waste in BIM which could become a useful tool in waste-prevention policies.
|Quiñones Rodríguez, M.R., Llatas, C., Montes Delgado, M.V.d. y Cortés Albalá, I. (2022). Quantification of Construction Waste in Early Design Stages Using Bim-Based Tool. Recycling, 7 (5), 1-17.