Arquitetura e sustentabilidade. Modelo de otimização do projeto sustentável: desmontagem e adaptabilidade

Maria Salvador Santos

Key information

Authors:

Maria Salvador Santos (Maria Salvador Santos)

Supervisors:

Francisco Manuel Caldeira Pinto Teixeira Bastos (Francisco Manuel Caldeira Pinto Teixeira Bastos); António Morais Aguiar da Costa (António Morais Aguiar da Costa)

Published in

December 5, 2022

Abstract

The present dissertation’ beginning was supported on the premise that sustainability and the green and digital transition, accompanied by the development of the circular economy, catalyse the evolution of contemporary construction, namely, the emerging theme of Design for Disassembly and Adaptability (DfD/A). From this symbiosis between technology and sustainability, arises the potential to combine technological tools, such as BIM, with the act of designing, allowing to reach levels of superior quality and materialize solutions that, until a few decades ago, didn’t have the means to overcome the distance between theory and practice. Thus, focusing on DfD/A, the concepts that preceded this practice and led to the writing of ISO 20887:2020 are analysed. The implementation of DfD/A ‘principles may not be felt if there aren’t mechanisms that compare and evaluate this practice with the usual construction scenarios. Therefore, it’s proposed the creation of a model that evaluates the capacity of buildings and elements, to be disassembled, reused, or adapted, after the first useful life, based on the principles set out by ISO 20887:2020. Finally, the Sustainable Design Optimization Model: Disassembly and Adaptability (MOPS-DA) seeks to provide an assessment framework that assists in the design process based in the DfD/A principles. This tool was applied to two Case Studies, demonstrating, firstly, that a building with a construction that follows the DfD/A’ principles, has a higher degree of circularity than a reinforced concrete construction and, secondly, that there are new solutions and several possibilities for the model’ evolution.