Effective asset management in the architecture, engineering, and construction/facilities management (AEC/FM) industry is crucial for improving asset performance and lifespan, as well as reducing downtimes and maintenance costs. Current asset management practices mostly rely on outdated paper-based approaches that are prone to data loss, security attacks, and missing information. Emerging technologies, such as digital twins, are being proposed to solve existing asset management problems in the AEC industry. However, the industry perspective is often missing in the evaluation of such technology-led approaches regarding actual applications and implementation challenges. This study seeks to understand the potential of digital twins in solving current asset management issues and challenges within the United Arab Emirates (UAE) context. To achieve this aim, structured interviews were conducted with 14 industry experts to capture their understanding of current digital technologies and existing issues in asset management. The findings of this study underscore the transformative potential of digital twins as a tool for optimizing asset performance and decision-making throughout the asset lifecycle.

The emergence of digital twins (DTs) represents a recent advancement in technological processes that support the planning, construction, and oversight of constructed assets. A DT is essentially a digital model that facilitates simulations and two-way information exchange with its real-world counterpart (a physical twin), creating opportunities for data-driven decision-making. Despite the promising prospects of DTs, both the technology and the methodologies for developing them, as well as their potential applications, remain not fully understood in both academic and industrial contexts. This research explores the applications of DTs for the management of existing assets within the AEC/FM industry. The study presents the results of a comprehensive literature review that explores existing knowledge in this domain. The findings reveal that procedures for creating DTs are still in their early stages, emphasizing potential applications in asset management throughout their lifespan, facilitating sustainability upgrades, and supporting the maintenance and restoration of heritage assets. The review concludes by providing recommendations for future research in this evolving field.

Structural systems in housing projects contribute to the energy consumption of buildings during and after construction, and the climate plays a significant role in this energy consumption. Housing projects in harsh environments such in the United Arab Emirates (UAE) directly contribute to energy performance, specifically in low-density residential areas. By selecting the most efficient structural system, prior construction can enhance energy performance in such housing projects. The present study investigates the energy performance of three different structural systems used in UAE national housing: precast concrete, reinforced concrete, and light gauge steel (LGS). The case studies used for this study were constructed in Abu Dhabi, the capital of the UAE, specifically in Alain city. Second, through qualitative analysis and average annual billing of each housing project, the study identifies the thermal defects and determines the electricity consumptions of each system. The results indicate that the LGS system provides high thermal conductivity through its structural elements whereas reinforced concrete leads to the highest annual energy consumption in kW h/m². Finally, precast concrete has few thermal defects in its junctions and structural elements. The results indicate that LGS and reinforced concrete should be further studied, especially with regard to insulation and improvement, prior to implementation in housing systems.