Data-driven and LCA-based Framework for environmental and circular assessment of Modular Curtain Walls

Abstract

To assist the sustainable development of the building sector, designers require tools illustrating the most viable design options. This paper, starting by presenting the opportunities and limitations of the Life Cycle Assessment (LCA) methodology and Digital Product Passport (DPP) instrument when applied to Custom Modules for Curtain Walls, proposes a Semantic Data-driven Framework to facilitate the design of low-carbon and circular façade modules. Based on literature and the practical outcome of the H2020 project Basajaun, this framework integrates computer-aided technologies that manufacturing companies commonly employ to automate an efficient sustainability assessment process using primary data. This solution innovates industrial process management and architectural design and supports the creation of greener products. It also facilitates the output of documents supporting end-of-life scenarios. The development methodology involves investigating required quantitative project data, environmental factors, and circularity information, as well as the definition of flowcharts for the Life Cycle Inventory, extending a best practice for the façade module’s DPP. Furthermore, the methodology implicates data collection and IT implementation and organisation. This is through the definition of an ontology conceived for interconnection between digital systems. The findings shall contribute to implementing the LCA and DPP practices for custom prefabricated façade modules and suggest areas for further development. Challenges include obtaining and sharing data on environmental impacts and circularity, but involving stakeholders and addressing technical limitations can improve sustainability.

Keywords

• Custom prefabricated Modules for Curtain Walls
• Life Cycle Assessment
• Digital Product Passport
• Semantic Data Model
• Eco-design tool
• Production Management and Innovation