In building renovation projects, construction activities such as demolition often pose critical health hazards and cause nuisances to both workers and passersby. These construction tasks may create various forms of construction pollution, including dust, noise, harmful air emissions, and vibration. Real-time pollution data is essential for monitoring pollution levels and ensuring compliance with safety regulations and acceptable pollution limits. In modern construction projects, this data can be collected, monitored, and reported via digital twins created by Building Information Modeling (BIM) models. Implementing these real-time digital models encompasses establishing criteria for creating appropriate BIM-based digital twins (DTs) as well as managing relevant static and dynamic information . Several challenges are associated with developing BIM models for BIM-based digital twins in the context of pollution management. This paper proposes essential criteria for creating efficient digital twins for attaining these purposes. In this paper, we examine various methods for creating BIM models representing existing structures, especially scan-to-BIM techniques and photogrammetry. We then develop a BIM-based DTs framework for construction pollution management in building renovation projects. The system is primarily structured by the Level of Development (LOD) and the Level of Information Need (LOIN) associated with pollution management of renovation projects. The elements of digital twins (e.g., Internet of Things (IoT) devices, sensor locations, and room functionality) are mainly designed using as-is BIM models with LOD 300 for the intended purposes. The proposed models provide insights on the current technologies and practices of BIM-integrated digital twins for construction pollution management in renovation projects.