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The global goal of limiting the rise in global temperatures to below 2 °C highlights the urgent need to mitigate climate change. The European Union set an ambitious target of achieving net-zero greenhouse gas emissions by 2050. Optimizing HVAC performance is critical to achieving environmental goals, as buildings and their HVAC systems use a large amount of energy, and improper operation and maintenance of HVAC systems can result in excessive energy consumption. This study investigates the integration of digital twin technology into the monitoring and optimization of HVAC systems in buildings. Although many studies have been published on the general subject of Digital Twins, only a few case studies are available, focusing on the practical challenges of developing and integrating a digital Twin for continuous commission of an existing building and its HVAC system. This contribution presents a digital twin concept which integrates time-series data as well as applications for BIM, Building & Systems Management (BMS), Internet of Things (IoT) and dynamic system simulation. Moreover, this work describes and reviews the application of the digital twin concept to a realistic case study to assess the heat pump performance in the Smart TinyLab. This study presents an example of the implementation of digital twin technology through the integration of Autodesk Tandem and BMS IoT sensors. This integration indicated monitoring and analysis of the system, leading to identifying inefficient operations or problems with model quality.

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Towards Integrating Real-time Data with Building Information Model to Assess the Performance of HVAC Components as Case Study; the Smart TinyLab

  • 会议论文

  • 发表日期：

    2026年

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  • Rio Saijo,
  • Rob Meester,
  • Christian Struck,
  • Masayuki Ichinose,
  • HaithamAlkhalaf

摘要

The global goal of limiting the rise in global temperatures to below 2 °C highlights the urgent need to mitigate climate change. The European Union set an ambitious target of achieving net-zero greenhouse gas emissions by 2050. Optimizing HVAC performance is critical to achieving environmental goals, as buildings and their HVAC systems use a large amount of energy, and improper operation and maintenance of HVAC systems can result in excessive energy consumption. This study investigates the integration of digital twin technology into the monitoring and optimization of HVAC systems in buildings. Although many studies have been published on the general subject of Digital Twins, only a few case studies are available, focusing on the practical challenges of developing and integrating a digital Twin for continuous commission of an existing building and its HVAC system. This contribution presents a digital twin concept which integrates time-series data as well as applications for BIM, Building & Systems Management (BMS), Internet of Things (IoT) and dynamic system simulation. Moreover, this work describes and reviews the application of the digital twin concept to a realistic case study to assess the heat pump performance in the Smart TinyLab. This study presents an example of the implementation of digital twin technology through the integration of Autodesk Tandem and BMS IoT sensors. This integration indicated monitoring and analysis of the system, leading to identifying inefficient operations or problems with model quality.