Abstract Smart buildings are complex systems, yet architecture, engineering, and construction (AEC) professionals often perform their work without considering the human factors of building occupants. Traditionally, the AEC industry has employed a linear design and delivery approach. As buildings become smarter, the AEC industry must adapt. To maximize human well-being and the operational performance ofContinue reading “A human-centred approach to smart housing”
Author Archives: Ray Gao
A framework of developing machine learning models for facility life-cycle cost analysis
Abstract Machine learning techniques have been used for predicting facility-related costs but there is a lack of research on developing machine learning models for the complete life-cycle cost (LCC) analysis of facilities. This research aims to systematically investigate the feasibility of forecasting facilities’ LCC by implementing machine learning on historical data. The authors propose aContinue reading “A framework of developing machine learning models for facility life-cycle cost analysis”
BIM assisted Building Automation System information exchange using BACnet and IFC
Highlights Abstract Smart buildings are the trend of the next generation’s commercial buildings that link different building systems together with the Building Automation System (BAS). Building information modeling (BIM) assists in data exchange and information flow. Previous research has explored BAS and BIM integration for energy management, building design optimization and operation, and building fault detection and diagnostics. However, it is rarely seenContinue reading “BIM assisted Building Automation System information exchange using BACnet and IFC”
A meta-model-based optimization approach for fast and reliable calibration of building energy models
Highlights Abstract Building energy model calibration with optimization aims to bridge the gap between simulated energy consumption and measurement, thus aiding building retrofit and operation. However, the difficulty of the optimization in calibration including both optimization hyperparameter settings and problem complexity (multi-modal and under-determined) make the calibration with optimization approach difficult to be applied in practice with fullContinue reading “A meta-model-based optimization approach for fast and reliable calibration of building energy models”
A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment
Abstract With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of things (IoT)-enabled smart city paradigm. However, current building systems lack inter-system connectivity or exposure to the larger networks of IoT devices. In this paper, we propose a scalableContinue reading “A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment”
Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review
Abstract A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCCs) rather than the initial design and construction costs. With the developments of machine learning in predictive analytics and the utilizingContinue reading “Machine Learning Applications in Facility Life-Cycle Cost Analysis: A Review”
A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT
Summary A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCC) rather than the initial design and construction costs. This thesis presents a research project that developed a machine learning-enabled facilityContinue reading “A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT”
A review of building information modeling (BIM) and the Internet of Things (IoT) devices integration: Present status and future trends
Highlights Abstract The integration of Building Information Modeling (BIM) with real-time data from the Internet of Things (IoT) devices presents a powerful paradigm for applications to improve construction and operational efficiencies. Connecting real-time data streams from the rapidly expanding set of IoT sensor networks to the high-fidelity BIM models provides numerous applications. However, BIM and IoT integration research areContinue reading “A review of building information modeling (BIM) and the Internet of Things (IoT) devices integration: Present status and future trends”
BIM-enabled facilities operation and maintenance: A review
Abstract Building Information modeling (BIM) has the potential to advance and transform facilities Operation and Maintenance (O&M) by providing a platform for facility managers to retrieve, analyze, and process building information in a digitalized 3D environment. Currently, because of rapid developments in BIM, researchers and industry professionals need a state-of-the-art overview of BIM implementation and researchContinue reading “BIM-enabled facilities operation and maintenance: A review”
Foundational Research in Integrated Building Internet of Things (IoT) Data Standards
Abstract This research report was produced for the CDAIT IoT Research Working Group, based on research conducted by Georgia Tech College of Design researchers under the supervision of Dr. Pardis Pishdad-Bozorgi of the School of Building Construction and Dr. Dennis Shelden, director of the Digital Building Laboratory (DBL). The report provides a brief review ofContinue reading “Foundational Research in Integrated Building Internet of Things (IoT) Data Standards”
Ray Gao's Cabinet of Curiosities 