Artificial Intelligence Based Methods for Retrofit Projects: A Review of Applications and Impacts

Nicoleta Bocaneala (Corresponding / Lead Author), Mohammad Ma'youf, Edlira Vakaj, Mark Shelbourn

Research output: Contribution to journalArticlepeer-review

Abstract

The Architecture, Engineering and Construction (AEC) sector faces severe sustainability and efficiency challenges. In recent years, various initiatives have demonstrated how artificial intelligence can effectively address these challenges and improve sustainability and efficiency in the sector. In the context of retrofit projects, there is a continual rising interest in the deployment of Artificial Intelligence (AI) techniques and applications, but the complex nature of such projects requires critical insight into data, processes, and applications so that value can be maximised. This study aims to review AI applications and techniques that have been used in the context of retrofit projects. A review of existing literature on the use of artificial intelligence in retrofit projects within the construction industry was carried out through a thematic analysis. The analysis revealed the potential advantages and difficulties associated with employing AI techniques in retrofit projects, and also identified the commonly utilised techniques, data sources, and processes involved. This study provides a pathway to realise the broad benefits of AI applications for retrofit projects. This study adds to the AI body of knowledge domain by synthesizing the state-of-the-art of AI applications for Retrofit and revealing future research opportunities in this field to enhance the sustainability and efficiency of the AEC sector.
Original languageEnglish
JournalArchives of Computational Methods in Engineering
Publication statusAccepted/In press (AAM) - 12 Jun 2024

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