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Abstract

The primary objective of this study is to create a comprehensive framework for incorporating digital twins (DT) and genetic algorithms (GA) into the design and operation of energy-efficient buildings. This framework will focus exclusively on optimising the carbon footprint and improving energy consumption efficiency. This method seeks to address the core issues associated with the design of conventional construction processes, including concerns related to building performance, energy consumption, low productivity and quality, and unreliable prediction. Recently, there has been a new focus on finding answers to these critical problems by adopting advanced technology. Although there are studies that specifically examine the technique of reducing carbon footprint, there is a lack of study on the incorporation of advanced technologies such as digital twins (DT) and artificial intelligence technologies like genetic algorithms (GA). A digital twin is a virtual replica of a physical asset that serves useful in modelling, integration, testing, monitoring, and maintenance. Genetic algorithms are a specific form of evolutionary algorithm (EA) that are particularly used for solving both constrained and unconstrained optimisation problems. These algorithms are based on Charles Darwin's theory of natural selection. A conceptual framework was created by an extensive review of existing literature to examine the background of this study. After conducting a literature analysis, the framework was validated through a quantitative survey. The survey collected opinions from professionals in this field. The conceptual framework and literature review, along with the case study, introduced a valuable and innovative approach to construction that facilitates the integration of digital twin, BIM, and AI technologies. The analysis highlighted the advantages of adopting these technologies. This framework has been developed from several relevant and credible sources of information. The findings of this study provide evidence for a new construction approach that emphasises energy efficiency in building design with the goal of reducing carbon footprint. This is achieved by integrating digital twin, BIM, and AI technologies. This innovative approach will have significant impact and advantages across various areas in the building industry, contributing to both the theoretical and practical aspects.

Course: Building Information Management - MSc - P2657FTC

Date Deposited: 2025-01-16

URI/permalink: https://library.port.ac.uk/dissert/dis14660.html