Research on the development of digital twins of buildings/cities and the optimal control of energy systems using AI

1.2 Data science
2.2 Communication and network
2.4 High performance
3.3 Engineering

Ryozo Ooka

Institute of Industrial Science

Professor

Buildings/cities will be reconstructed as digital twins in cyber space, with energy systems being incorporated therein. Furthermore, an optimal control framework for energy systems is developed by combining prediction models and optimization methods based on AI.

Image of optimal operations using digital twins
DAI-DAN Co., Ltd.

Image of an optimal operation by AI-based prediction control AI
The University of Tokyo

Research collaborators

DAI-DAN Co., Ltd.

Related publications

Yuki MATSUDA, Ryozo OOKA, “DEVELOPMENT OF THE DIGITAL-TWIN FOR BUILDING FACILITIES (PART 1): VERIFICATION OF PREDICTIVE ACCURACY OF ANN MODELS FOR HEAT SOURCE SYSTEM BASED ON OPERATION DATA”, Journal of Environmental Engineering, Volume 85, No. 770, 2020.4.
Doyun Lee, Ryozo Ooka, Shintaro Ikeda, Wonjun Choi, Younghoon Kwak, “Model predictive control of building energy systems with thermal energy storage in response to occupancy variations and time-variant electricity prices”, Energy and Buildings, Volume 225, 2020.10.
Yuki MATSUDA, Ryozo OOKA, “DEVELOPMENT OF THE DIGITAL-TWIN FOR BUILDING FACILITIES (PART 2): THE EVALUATION OF ANN MODELS TO SIMULATE ALL AIR CONDITIONING SYSTEM”, Journal of Environmental Engineering, Volume. 86, No. 780, 2021.2.