Qi Zhou

Qi Zhou

Research Fellow, Institute of Industrial Science, The University of Tokyo

Publications

Journal Papers

  1. Q. Zhou, R. Ooka. Implementation of a coupled simulation framework with neural network and Modelica for fast building energy simulation considering non-uniform indoor environment. Building and Environment, 2022; 211: 108740.
  2. Q. Zhou, R. Ooka. Performance of neural network for indoor airflow prediction: Sensitivity towards weight initialization. Energy and Buildings, 2021; 246: 111106.
  3. Q. Zhou, R. Ooka. Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution. Energy and Buildings, 2020; 230: 110525.
  4. Q. Zhou, R. Ooka. Comparison of different deep neural network architectures for isothermal indoor airflow prediction. Building Simulation, 2020; 13(6): 1409-1423.
  5. Q. Zhou, H. Qian, L. Liu. Numerical investigation of airborne infection in naturally ventilated hospital wards with central-corridor type. Indoor and Built Environment, 2018; 27(1): 59-69.
  6. Q. Zhou, H. Qian, H. Ren, Y. Li, P.V. Nielsen. The lock-up phenomenon of exhaled flow in a stable thermally-stratified indoor environment. Building and Environment, 2017; 116: 246-256.
  7. Q. Zhou, Z. Lyu, H. Qian, J. Song, V.C. Mobs. Field-measurement of CO2 level in general hospital wards in Nanjing. Procedia Engineering, 2015; 121: 52-58.
  8. R. Ooka, Q. Zhou. Fast and accurate prediction method for indoor air distribution using deep learning. Japanese Journal of Multiphase Flow, 2021; 35(3): 437-444. (in Japanese)
  9. Q. Zhou, R. Ooka. Study on the impact of data preprocessing on performance of neural network for indoor airflow prediction. Seisankenkyu, 2021; 73(1): 65-70. (in Japanese)
  10. Q. Zhou, R. Ooka. Prediction of two-dimensional non-isothermal indoor airflow by deep learning. Seisankenkyu, 2020; 72(1): 57-64. (in Japanese)

International Conference Papers

  1. Q. Zhou, R. Ooka. Neural network for indoor airflow prediction with CFD database. IBPC 2021, Aug 2021, online.
  2. Q. Zhou, R. Ooka. Indoor airflow simulation via deep neural network on the basis of CFD database. ROOMVENT 2020, Feb 2021, online.
  3. Q. Zhou, H. Qian, H. Ren. Numerical study of potential of natural ventilation for reducing airborne infections. CLIMA 2016, May 2016, Aalborg, Denmark.
  4. H. Qian, X. Zheng, Q. Zhou. Evaluation of natural ventilation for reducing airborne infection in general hospital wards by long term field measurement in Nanjing. CLIMA 2016, May 2016, Aalborg, Denmark.
  5. Q. Zhou, N. Gao, H. Qian. CFD study on the wind-induced transmission of gaseous pollutants between flats in multistory residential buildings. Indoor Air 2014, Jul 2014, Hong Kong, China.

Patent

  1. H. Qian, L. Liu, Q. Zhou. A new type of flow meter (一种流量测量装置). Publication number: CN104316117A. China National Intellectual Property Administration, 2017.

Guideline

  1. H. Qian, Q. Zhou (9th of 17 authors). Guideline for designing natural ventilation (建筑自然通风设计计算技术导则). Department of Construction of Guizhou Province, 2016.