Digital Twin research article publication


How can we monitor and improve air quality in existing housing? In collaboration with Dr Faris Elghaish and Mohammed Zoher, our BIM Consultant Arva Arsiwala has led on a new research publication detailing an innovative Digital Twin solution with IoT, AI and BIM integration. The research presents a Digital Twin and AI solution to automate the predictive monitoring and controlling of equivalent Carbon Dioxide (CO2-eq) emissions and Total Volatile Organic Compounds (TVOC) from existing assets.

This predictive monitoring system of CO2-eq emissions were developed using the design science research paradigm. A real-life case study based on housing was utilised to validate the created solution. This solution introduces interactive dashboard to predict CO2-eq based on varying humidity percentages and temperatures.

The full article can be read here: Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings – ScienceDirect