Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

  title={Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec},
  author={Mahmoud Abdelrahman and Adrian Chong and Clayton Miller},
Creating Occupant-Centered Digital Twins Using the Occupant Feedback Ontology Implemented in a Smartwatch App
A scalable method to acquire continuous occupant feedback and directly integrate this with other building information is presented and can be used in a wide range of use cases, both within and without the architecture, building, and construction domain.
Development of an Open Government Data (OGD) Evaluation Framework for BIM
This research concludes by suggesting that to effectively utilize OGD in the construction industry, the private sector should simply view data after collecting them, create an institutional environment for creating new values by reprocessing data, and build an active data utilization roadmap based on this environment.


Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models
A methodology to collect intensive longitudinal subjective feedback of comfort-based preference using micro ecological momentary assessments on a smartwatch platform and outlines how these models can enhance comfort preference prediction when supplementing data from installed sensors.
Bayesian inference of thermal comfort: evaluating the effect of “well-being” on perceived thermal comfort in open plan offices
The judgment of thermal comfort is a cognitive process which is influenced by physical, psychological and other factors. Prior studies have shown that occupants, who are generally satisfied with many
Personal thermal comfort models with wearable sensors
The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy building
It is demonstrated how occupants can be clustered into comfort personality types that could be used as a foundation for prediction and recommendation systems that use real-time occupant behavior instead of rigid comfort models.
Satisfaction and self-estimated performance in relation to indoor environmental parameters and building features
Author(s): Wargocki, Pawel; Frontczak, Monika; Schiavon, Stefano; Goins, John; Arens, Ed; Zhang, Hui | Abstract: The paper examines how satisfaction with indoor environmental parameters and building
Lessons learned from 20 years of CBE’s occupant surveys
Buildings influence diverse factors (e.g. health, wellbeing, productivity, and social connection). Occupants’ direct experiences with their indoor environments allow them to determine whether those