Computational BIM and Intelligent Operations

Leveraging Digital Twin Technology to Optimize Operations and Sustainability: Insights from an Office Building Case Study

dthub

Published 2024

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Abstract

In urban centres, demand for energy-efficient and resilient office spaces continues to grow as cities work to reduce emissions and optimize building operations. Digital twin technology is proving essential in this effort, providing a platform for more sustainable and responsive building management. PARA OS, a digital twin solution, recently demonstrated these capabilities in a commercial office building, transforming the building’s operational performance and sustainability outcomes. This case study examines how PARA OS enabled streamlined decision-making, resulting in notable improvements in energy efficiency, occupant comfort, asset reliability, and sustainability

Topics

AI HVAC optimizationAI building automationAI for Energy Performance OptimizationCase StudyPredictive Analytics and Performance OptimizationSmart Building Systems and IoT IntegrationSustainable Buildingsanomaly detectionbuilding energy forecastingbuilding energy simulationenergy-efficient designlifecycle assessmentpredictive analyticssmart gridstime-series analysis

Cite this paper

@misc{7e6fd469,
  title = {Leveraging Digital Twin Technology to Optimize Operations and Sustainability: Insights from an Office Building Case Study},
  author = {dthub},
  year = {2024},
  howpublished = {\url{https://digitaltwinhub.co.uk/leveraging-digital-twin-technology-to-optimize-operations-and-sustainability-insights-from-an-office-building-case-study/}},
  url = {https://digitaltwinhub.co.uk/leveraging-digital-twin-technology-to-optimize-operations-and-sustainability-insights-from-an-office-building-case-study/},
  urldate = {2026-08-04},
  note = {Computational BIM and Intelligent Operations}
}