Highlights: What are the main findings? What is the implication of the main findings? Proposal of a BIM-based framework for lifecycle carbon prediction and optimisation. Proposal of a standard method with generic formulations to calculate the embodied carbon. Exploration of BIM-enabled parametric modelling for optimising low-carbon alternative design. Exploration of the interoperability between BIM and energy simulation for lifecycle energy analysis. Investigation of low-carbon materials and designs in the lifecycle carbon of residential buildings. Residential building construction is resource-intensive and significantly impacts the environment by embodied and operational carbon emissions. This study has adopted a parametric building information modelling (BIM)-based approach for a residential building to analyse its lifecycle carbon performance and to evaluate the optimisation potential through alternative material use and design. The study looks at a residential development project, applying an automatic calculation and analysis tool of upfront embodied carbon and BIM-based lifecycle energy simulation to predict carbon emissions from operating the built spaces. A parametric BIM model has been established to aid energy simulation and operational carbon assessment across a 50-year building lifetime, considering 1.5 °C Net-Zero World and 3 °C Hot House World climate scenarios. Various improvement opportunities for future residential development projects, from material selection to operational efficiencies, are explored. This includes quantitative analysis on architectural-structure design, low-carbon construction materials (e.g., cement substitutes, steel scraps, and green hydrogen steel), and novel design for construction approaches (such as modular integrated construction), with discussion around their impacts on optimising the building lifecycle carbon performance. This study provides a deeper understanding and insights into the lifecycle performance of residential buildings to facilitate further exploration of achieving a more sustainable and low-carbon built environment.
CITATION STYLE
Gan, J., Li, K., Li, X., Mok, E., Ho, P., Law, J., … Yau, R. (2023). Parametric BIM-Based Lifecycle Performance Prediction and Optimisation for Residential Buildings Using Alternative Materials and Designs. Buildings, 13(4). https://doi.org/10.3390/buildings13040904
Mendeley helps you to discover research relevant for your work.