BIM-BASED DIGITAL TWIN INTEGRATION FOR ENHANCING ENERGY EFFICIENCY IN MULTI-STOREY RESIDENTIAL BUILDINGS: A SYSTEMATIC LITERATURE REVIEW AND CONCEPTUAL FRAMEWORK
Keywords:
Building Information Modeling (BIM); Digital Twin; Internet of Things (IoT); smart buildings; energy efficiency; multi-storey residential buildings; sustainable construction; smart city; facility management.Abstract
The rapid digital transformation of the architecture, engineering, and construction (AEC) industry has created new opportunities for improving the sustainability of multi-storey residential buildings. Building Information Modeling (BIM), Internet of Things (IoT), and Digital Twin technologies collectively enable intelligent building design, real-time monitoring, and data-driven operational management. This study investigates BIM-based Digital Twin integration for enhancing energy efficiency in multi-storey residential buildings through a systematic literature review and comparative analysis of contemporary studies.The findings indicate that BIM-based Digital Twin systems significantly improve energy efficiency through real-time monitoring, adaptive control, and intelligent decision-making. Key challenges include high implementation costs, interoperability issues, cybersecurity risks, and limited technical expertise, particularly in developing countries. The study proposes a conceptual framework integrating BIM, IoT, and Digital Twin technologies into a unified system for intelligent residential building management, contributing valuable insights for researchers, practitioners, and policymakers.
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