Built Environment

                               - Design & Control

Assistant Professor
Division of Sustainable Buildings
Department of Civil and Architectural Engineering
KTH Royal Institute of Technology

B.Sc. in Constructional Environment and Equipment
Engineering,Tianjin University, 2009
M.S.E. in Mechanical Engineering, Purdue University, 2014
Ph.D. in Mechanical Engineering, Purdue University, 2017
Contact Information
Address: Brinellvägen 23, SE-100 44 Stockholm, Sweden
Email: wei.liu@byv.kth.se
Principle Investigator
Wei Liu


Dr. Wei Liu is an Assistant Professor at the Division of Sustainable Buildings, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology. Dr. Liu earned his B.Sc. in 2009 from Tianjin University, China and M.S.E. in 2014 and Ph.D. in 2017 from Purdue University, USA. He was a faculty member (Assistant Professor) at ZJU-UIUC Institute, Zhejiang University. Dr. Liu's current research topics include Indoor Air Quality (IAQ) and Air Distribution, Inverse Design and Control of indoor environments, and Data-Driven Smart Buildings. The research in the domain of Data-Driven Smart Buildings is carried out in close collaboration with Jönköping University Artificial Intelligence (AI) Lab, Drexel University (Philadelphia, USA), IEA ERC Annex 81 Data-Driven Smart-Buildings and other key Swedish and international stakeholders from the private and the public sectors. He has published 41 journal papers and 25 conference papers. Dr. Liu is an Outstanding Winner and recipient of INFORMS Award from Mathematical Contest in Modeling 2019. He is also a recipient of Best Paper Award from ROOMVENT 2018, Bilsland Dissertation Fellowship from Purdue University in 2016, First Prize of the RP-1493 - Shootout Contest from ASHRAE in 2012, and Grant-in-Aid Award from ASHRAE in 2011.

Google Scholar: https://scholar.google.com/citations?user=aSgEUQ0AAAAJ&hl=en

Selected Publications

*Corresponding author

Xue, Y., Liu, W.*, Wang, Q., and Bu, F. Development of an integrated approach for the inverse design of built environment by a fast fluiddynamics-based generic algorithm. Accepted by Building and Environment, 2019, doi: 10.1016/j.buildenv.2019.106205.

Liu, W., You, R., and Chen, C. Modeling transient particle transport by fast fluid dynamics with the Markov chain method. Accepted by Building Simulation, 2019, doi: 10.1007/s12273-019-0513-9.

Zhao, X., Liu, W.*, Lai, D., and Chen, Q. Optimal design of an indoor environment by the CFD-based adjoint method with area-constrained topology and cluster analysis. Building and Environment, 2018, 138: 171-180.

Liu, W., Zhao, X., and Chen, Q. A novel method for measuring air infiltration rate in buildings. Energy and Buildings, 2018, 168: 309-318.

Liu, W. and Chen, Q. Development of coarse grid generation methods for fast fluid dynamics in simulating indoor airflow. Journal of Building Performance Simulation, 2018, 11(4): 470-484.

Liu, W., You, R., Zhang, Jie., and Chen, Q. Development of a fast fluid dynamics-based adjoint method for the inverse design of indoor environments. Journal of Building Performance Simulation, 2017, 10(3): 326-343.

Liu, W., Jin, M., Chen, C., You, R., and Chen, Q. ­Implementation of a fast fluid dynamics model in OpenFOAM for simulating indoor airflow. Numerical Heat Transfer, Part A: Application, 2016, 69(7): 748-762.

Liu, W., Jin, M., Chen, C. and Chen, Q. Optimization of air supply location, size, and parameters in enclosed environments through using a CFD-based adjoint method. Journal of Building Performance Simulation, 2016, 9(2): 149-161.

Liu, W., Duan, R., Chen, C., Lin, C.-H., and Chen, Q. Inverse design of the thermal environment in an airliner cabin by use of the CFD-based adjoint method. Energy and Buildings, 2015, 104, 147-155.

Liu, W., Zhang, T., Xue, Y., Zhai, Z.J., Wang, J., Wei, Y., and Chen, Q. State-of-the-art methods for inverse design of an enclosed environment. Building and Environment, 2015, 91, 91-100.

Liu, W. and Chen, Q. Optimal air distribution design in enclosed spaces using an adjoint method. Inverse Problems in Science & Engineering, 2015, 23(5), 760-779.

Liu, W., Wen, J., Lin, C.-H., Liu, J., Long, Z., and Chen, Q. Evaluation of various categories of turbulence models for predicting air distribution in an airliner cabin. Building and Environment, 2013, 65: 118-131.

Liu, W. and Chen, Q. Current studies on air distributions in commercial airliner cabins. Theoretical & Applied Mechanics Letters, 2013, 3(6): 1-5.

Liu, W., Long, Z., and Chen,Q. A procedure for predicting pressure loss coefficients of duct fittings using CFD(RP-1493). HVAC&R Research, 2012, 18(6): 1168-1181.

Liu, W., Wen, J., Chao, J., Yin, W., Shen, C., Lai, D., Lin, C.-H., Liu, J., Sun, H. and Chen, Q. Accurate and high-resolution boundary conditions and flow fields in the first-class cabin of an MD-82 commercial airliner. Atmospheric Environment, 2012, 56: 33-44.

Liu, W., Mazumdar, S., Zhang, Z., Poussou, S., Liu, J., Lin, C.-H., and Chen, Q. State-of-the-art methods for studying air distributions in commercial airliner cabins. Building and Environment, 2012, 47: 5-12.