- 教师名称：刘炜
- 教师拼音名称：Liu Wei
- 出生日期：1987-10-18
- 性别：男
- 职务：Professor
- 学科：建筑环境与能源应用工程
- 职称：教授
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46. Xue, J., Liu, W., and Liu, K. Influence of thermal environment on attendance and adaptive behaviors in outdoor spaces: a study in a cold-climate university campus. International Journal of Environmental Research and Public Health, 2021, 18(11), 6139; https://doi.org/10.3390/ijerph18116139.
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47. Li, S., Yang, J., and Liu, W.* Estimation of aerator air demand by an embedded multi-gene genetic programming. Journal of Hydroinformatics, 2021, 23 (5): 1000-1013. https://doi.org/10.2166/hydro.2021.037.
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48. Calzolari, G. and Liu, W.* Deep learning to replace, improve, or aid CFD analysis in built environment applications: a review. Building and Environment, 2021, 206, 108315. https://doi.org/10.1016/j.buildenv.2021.108315.
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49. Liu, W.*, Sun, H., Lai, D., Xue, Y., Kabanshi, A., and Hu, S. Performance of fast fluid dynamics with a semi-Lagrangian scheme and an implicit upwind scheme in simulating indoor/outdoor airflow. Building and Environment, 2022, 207, 108477. https://doi.org/10.1016/j.buildenv.2021.108477.
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50. Hu, M., Liu, W., Xue, K., Liu, L., Liu, H., and Liu, M. Comparing calculation methods of state transfer matrix in Markov chain models for indoor contaminant transport. Building and Environment, 2022, 297,108515.
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51. Zheng, S., Zhai, Z., Wang, Y., Xue, Y., Duanmu, L., and Liu, W. Evaluation and comparison of various fast fluid dynamics modeling methods for predicting airflow around buildings. Building Simulation, 2022, 15, 1083-1095.
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52. Dai, T., Liu, S., Liu, J., Jiang, N., Liu, W., and Chen, Q. Evaluation of fast fluid dynamics with different turbulence models for predicting outdoor airflow and pollutant dispersion, Sustainable Cities and Society, 2022, 77, 103583.
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53. Ma, S., Liu, W., Dong, J., Liu, J., and Wang, Z. Indoor thermal environment in a rural dwelling heated by air-source heat pump air-conditioner. Sustainable Energy Technologies and Assessments, 2022, 51, 101948.
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54. Lei, L. and Liu, W.* Predictive control of multi-zone variable air volume air-conditioning system based on radial basis function neural network. Energy and Buildings, 2022, 261, 111944.
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55. Liu, Y., Long, Z., and Liu, W. A semi-empirical mesh strategy for CFD simulation of indoor airflow. Indoor and Built Environment, 2022, https://doi.org/10.1177/1420326X221089825.
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56. Lei, L., Zheng, H., Xue, Y., and Liu, W.* Inverse modeling of thermal boundary conditions in commercial aircrafts based on Green's function and regularization method. Building and Environment, 2022, 217, 109062.
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57. Lei, L., Wu, B., Fang, X., Chen, L., Wu, H., and Liu, W.* A dynamic anomaly detection method of building energy consumption based on data mining technology. Energy, 2022, doi.org/10.1016/j.energy.2022.125575.
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58. Liu, W., Zhang, T., and Lai, D. Inverse design of a thermally comfortable indoor environment with a coupled CFD and multi-segment human thermoregulation model. Building and Environment, 2022, 227: 109769.
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59. Sun, R., Liu, J., Lai, D.*, and Liu, W.* Building form and outdoor thermal comfort: inverse design the microclimate of outdoor space for a kindergarten. Energy and Buildings, 2023, 112824.
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60. Ma, S., Liu, W., Meng, C., Dong, J. and Zhang, S., 2023. Temperature-dependent particle mass emission rate during heating of edible oils and their regression models. Environmental Pollution, 2023, 323,121221.
