Built Environment
- Design & Control
Journal Papers
*Corresponding author
2024
72. Pan, Y., Zhang, H., Huang, W., Liu, W., You, R., and Chen, C. Enhancing removal of air contaminants in existing aircraft cabins by optimizing supply air direction based on Re-field synergy and Bayesian optimization. Science of The Total Environment, 2024, 172363.
71. Liu, F., Liu, W.*, Long, Z., and Zhang, T. Evolution of particle size distribution and water content for oily particles in machining workshops. Journal of Building Engineering, 2024, 84, 108542.
2023
70. Wang, Y., Li, J., Liu, W., Zhang, S., Dong, J., and Liu, J., Prediction of urban airflow fields around isolated high-rise buildings using data-driven non-linear correction models. Building and Environment, 2023, 110894.
69. Calzolari, G. and Liu, W.*, Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment. Building Simulation, 2023, 10.1007/s12273-023-1083-4.
68. Liu, F., Chen, H., Yuan, H., Zhang, T., and Liu Wei.*, Shape optimization of the exhaust hood in machining workshops by a discrete adjoint method. Building and Environment, 2023, 110764.
67. Liu, W., Lian, S., Fang, X., Shang, Z., Wu, H., Zhu, H., and Hu, S., An open-source and experimentally guided CFD strategy for predicting air distribution in data centers with air-cooling. Building and Environment, 2023, 110542.
66. Ma, S., Liu, W., Dong, J., Meng, C., and Liu, J., Comparison of the time-dependent characteristics between particle mass and particle number emissions during oil heating and emission mitigation strategies. Building and Environment, 2023, 242, 110511.
65. Kabanshi, A., Choonya, G., Ameen, A., Liu, W. and Mulenga, E., Windows of opportunities: orientation, sizing and PV-shading of the glazed area to reduce cooling energy demand in sub-Sahara Africa. Energies, 2023, 16(9), p.3834.
64. Li, P., Liu, W., and Zhang, T. CFD modeling of dynamic airflow and particle transmission in an aircraft lavatory. Building Simulation, 2023, 16, 1375-1390.
63. Lei, L. and Liu, W.*, Inverse identification model for release rates of multiple gaseous pollution sources in an aircraft cabin. Indoor and Built Environment, 2023, 1420326X231170787.
62. Wang, Y., Guo, Y., Hao, W., Liu, W., and Long, Z., Simulation study of the purification system for indoor oil mist control in machining factories. Building Simulation, 2023, 16, 1361-1374.
61. Chen, Z., O’Neill, Z., Wen, J., Pradhan, O., Yang, T., Lu, X., Lin, G., Miyata, S., Lee, S., Shen, C., Chiosa, R., Piscitelli, M.S., Capozzoli, A., Hengel, F., Kührer, A., Pritoni, M., Liu, W., Clauß, J., Chen, Y., and Herr, T., A review of data-driven fault detection and diagnostics for building HVAC systems. Applied Energy, 2023, 339, 121030.
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.
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.
2022
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.
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.
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.
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.
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.
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.
2021
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.
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.
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.
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.
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.
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.
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.
45. Lei, L., Chen, W., Wu, B., Chen, C., and Liu, W.* A building energy consumption prediction model based on rough set theory and deep learning algorithms. Energy and Buildings, Volume 240, 2021, 110886.
2020
44. Xue, J., You, R., Liu, W., Chen, C., and Lai, D. Applications of local climate zone (LCZ) classification scheme to improve urban sustainability. Sustainability, 2020, 12(19), 8083.
43. Liu, W., van Hooff, T., An, Y., Hu, S., and Chen, C. Modeling transient particle transport in transient indoor airflow by fast fluid dynamics with the Markov chain method. Building and Environment, 186, 2020, 107323.
42. Sun, J., Liu, W., Long, Z., Zhang, H., and Pan, W. Transmission and exposure of kitchen particles: a case study in an apartment. Indoor and Built Environment, 2020, doi: 10.1177/1420326X20942579.
41. Chen, S., Zhu, Y., Chen, Y., and Liu, W.* Usage strategy of phase change materials in plastic greenhouses, in hot summer and cold winter climate. Applied Energy, 227, 2020, 115416.
40. Lai, D., Lian, Z., Liu, W., Guo, C., Liu, W., Liu, K., and Chen, Q. A comprehensive review of thermal comfort studies in urban open spaces. Science of the Total Environment, 2020, doi: 10.1016/j.scitotenv.2020.140092.
39. Liu, K., Nie, T., Liu, W., Liu, Y., and Lai, D. A machine learning approach to predict outdoor thermal comfort using local skin temperatures. Sustainable Cities and Society, 2020, doi: 10.1016/j.scs.2020.102216.
2019
38. Lei, L., Chen, W., Xue, Y., and Liu, W.* A comprehensive evaluation method for indoor air quality of buildings based on rough sets and a wavelet neural network. Building and Environment, 162, 2019, 160296, doi: 10.1016/j.buildenv.2019.106296.
37. Xue, Y., Liu, W.*, Wang, Q., and Bu, F. Development of an integrated approach for the inverse design of built environment by a fast fluid dynamics-based generic algorithm. Building and Environment, 160, 2019, 106205, doi: 10.1016/j.buildenv.2019.106205.
36. Liu, W., You, R., and Chen, C. Modeling transient particle transport by fast fluid dynamics with the Markov chain method. Building Simulation, 2019, 12: 881-889.
35. Wei, Y., Liu, W., Xue, Y., Zhai, Z., Chen, Q., and Zhang, T. Inverse design of aircraft cabin ventilation by integrating three methods. Building and Environment, 2019, 150: 33-43.
2018
34. 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.
33. Lai, D., Chen, C., Liu, W., Shi, Y., and Chen, C. An ordered probability model for predicting outdoor thermal comfort. Energy and Buildings, 2018, 168: 261-271.
32. Liu, W., Zhao, X., and Chen, Q. A novel method for measuring air infiltration rate in buildings. Energy and Buildings, 2018, 168: 309-318.
31. Chen, C., Zhao, B., Lai, D., and Liu, W. A simple method for differentiating direct and indirect exposure to exhaled contaminants in mechanically ventilated rooms. Building Simulation, 2018, 11(5): 1039-1051.
30. 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.
2017
29. 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.
28. Zhao, X., Liu, W., Liu, S., Zou, Y., and Chen, Q. Inverse design of an indoor environment by using a CFD-based adjoint method with adaptive step size for adjusting design parameters. Numerical Heat Transfer, Part A: Applications, 2017, 71(7): 707-720.
27. Cao, Q., Xu, Q., Liu, W., Lin, C-H., Wei, D., Baughcumb, S., Norrisb, S., and Chen, Q. In-flight monitoring of particle deposition in the environmental control systems of commercial airliners in China. Atmospheric Environment, 2017, 154: 118-128.
26. Liu, Y., Cao, Q., Liu, W., Lin, C.-H., Wei, D., Baughcum, S., Norris, S., Long, Z., Shen, X., and Chen, Q. Numerical modeling of particle deposition in the environmental control systems of commercial airliners on ground. Building Simulation, 2017, 10(2): 265-275.
2016
25. 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.
24. 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.
23. Xue, Y., Liu, W. and Zhai, Z.J. New semi-Lagrangian-based PISO method for fast and accurate indoor environment modeling. Building and Environment, 2016, 105: 236-244.
22. You, R., Liu, W., Chen, J., Lin, C.-H., Wei, D., and Chen, Q. Predicting airflow distribution and contaminant transport in aircraft cabins with a simplified gasper model. Building Performance Simulation, 2016, 9(6): 699-708.
21. You, R., Chen, J., Shi, Z., Liu, W., Lin, C.-H., Wei, D., and Chen, Q. Experimental and numerical study of airflow distribution in an aircraft cabin mockup with a gasper on. Building Performance Simulation, 2016, 9(5): 555-566.
20. Zhang, J., Long, Z., Liu, W., and Chen, Q. Strategy for studying ventilation performance in factories. Aerosol and Air Quality Research, 2016, 16: 442-452.
19. Cao, Q., Liu, Y., Liu, W., Lin, C.-H., Wei, D., Baughcum, S., Norris, S., Shen, X., Long, Z., and Chen, Q. Experimental study of particle deposition in the environmental control systems of commercial airliners. Building and Environment, 2016, 96, 62-71.
2015
18. 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.
17. 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.
16. 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.
15. Chen, C., Liu, W., Lin, C.-H., and Chen, Q. Comparing the Markov chain model with the eulerian and lagrangian models for indoor transient particle transport simulations. Aerosol Science & Technology, 2015, 49, 857-871.
14. Dai, S., Sun, H., Liu, W., Guo, Y., Jiang, N., and Liu, J. Experimental Study on Characteristics of the Jet Flow from an Aircraft Gasper. Building and Environment, 2015, 93, 278-284.
13. Chen, C., Liu, W., Lin, C.-H., and Chen, Q. A Markov chain model for predicting transient particle transport in enclosed environments. Building and Environment, 2015, 90, 30-36.
12. Chen, C., Liu, W., Lin,C.-H.,and Chen,Q. Accelerating the Lagrangian method for modeling transient particle transport in indoor environments. Aerosol Science & Technology, 2015, 49(5), 351-361.
11. Duan, R., Liu,W., Xu, L., Huang, Y., Li, B., Shen, X., Lin, C., Liu, J., and Chen, Q. Mesh type and number for the CFD simulations of air distribution in an aircraft cabin. Numerical Heat Transfer, Part B: Fundamentals, 2015, 67(6), 489-506.
10. Jin, M., Liu, W. and Chen, Q. Simulating buoyancy-driven airflow in buildings by coarse-grid fast fluid dynamics. Building and Environment, 2015, 85, 144-152.
2014
9. Jin, M., Liu, W., and Chen, Q. Accelerating fast fluid dynamics with a coarse-grid projection scheme, HVAC&R Research, 2014, 20(8), 932-943.
8. Shen, C., Liu, J., Liu, W., and Wen, J. Establishment and certification of an airliner experimental platform with the stable thermal boundary condition in a full-size aircraft cabin. Journal of HV&AC, China (in Chinese), 2014, 44(7): 75-80.
2013
7. 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.
6. Liu, W. and Chen, Q. Current studies on air distributions in commercial airliner cabins. Theoretical & Applied Mechanics Letters, 2013, 3(6): 1-5.
5. Chen,C., Liu,W., Li, F., Lin, C.-H., Liu, J., Pei, J., and Chen, Q. A hybrid model for investigating transient particle transport in enclosed environments. Building and Environment, 2013, 62: 45-54.
2012 & earlier
4. 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.
3. 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.
2. 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.
1. Liu, W., Liu, J., and Ma, Q. Theoretical and experimental study of cleanliness in a clean room with a directional ventilation. Building Science, China (in Chinese), 2010, 26: 76-83.
Conference Papers
2023
39. Sun, R., Liu, W., and Lai, D. Inverse design the microclimate of outdoor space: kindergarten as an example. Proceedings of the 15th Building Physics Conference of China, 2023, Shanghai, China.
38. Calzolari, G. and Liu, W. A deep learning accelerator framework for large eddy simulation in the built environment. Proceedings of Building Simulation 2023, paper ID 1699, Shanghai, China.
37. Lei, L. and Liu, W. Dynamic anomaly detection of building energy consumption data. Proceedings of Healthy Buildings 2023 Asia and Pacific Rim, Tianjin, China.
36. Sun, R., Chen, D., Xu, Y., Lai, D., and Liu, W. Improving outdoor thermal comfort of a kindergarten by optimizing its building shape with genetic algorithm. Proceedings of IAQVEC 2023, E3S Web of Conferences, Tokyo, Japan.
2022
35. Pinas, J., Gobert, R., Alessandrini, J., Sabre, M., Kraiem, S., Lefebvre, G., Liu, W., and Pele, C., 2022. Adequacy of weather data standards to assess building passive performance during summer, an application to French buildings. PLEA (Passive and Low Energy Architecture) 2022, Santiago, Chile.
34. Liu, W. and Sandberg, M., 2022. The effects of room length on jet momentum flux. In E3S Web of Conferences (Vol. 356, p. 01001). EDP Sciences.
33. Calzolari, G. and Liu, W. A deep learning based zero-equation turbulence model for indoor airflow simulation. Proceedings of the 5th International Conference on Building Energy and Environment (COBEE 2022), Paper No. 1196, Montreal, Canada.
32. Dai, T., Liu, S., Liu, J., Jiang, N., Liu, W., and Chen, Q. Assessment of fast fluid dynamics with different turbulence models for simulating airflow and pollutant dispersion around buildings. Proceedings of the 5th International Conference on Building Energy and Environment (COBEE 2022), Paper No. 1158, Montreal, Canada.
31. Calzolari, G. and Liu, W. Deep learning for CFD analysis in built environment applications: a review. Proceedings of the 14th REHVA World Congress CLIMA 2022, Paper ID 1154, Rotterdam, Netherland.
2021
30. Liu, W., Xue, Y., and Lai, D. 2021. A combined CFD-based genetic algorithm and human body thermoregulation model for designing the indoor thermal environment, Proceedings of Building Simulation 2021 Conference, September 1-3, Bruges, Belgium
2020
29. Lei, L., Chen, W., and Liu, W. 2020. Prediction of building energy consumption by rough set theory and deep neural network, Proceedings of Virtual ICAE 2020 Conference, Paper ID 137, 4 pages, Bangkok, Thailand.
28. Liu, W., Sun, H., and Xue, Y. 2020. Fast fluid dynamics models with/without a semi-Lagrangian scheme for simulating indoor airflow, Proceedings of Virtual Roomvent 2020 Conference, Paper ID 1290, 6 pages, Torino, Italy.
27. Liu, W., van Hooff, T., An, Y., Hu, S., and Chen, C. 2020. Prediction of transient particle transport in transient indoor airflow by integrated fast fluid dynamics and Markov chain model, Proceedings of Virtual Indoor Air 2020 Conference, Paper ID ABS-0096, 6 pages, Seoul, Korea.
2019
26. Xue, Yu. and Liu, W. 2019. Inverse Design of Built Environment by a Fast Fluid Dynamics-based Genetic Algorithm. Proceedings of the 16th IPBSA International Conference and Exhibition (BS 2019), Rome, Italy.
25. Liu, W. and Chen, C. 2019. Integration of fast fluid dynamics and Markov chain model for predicting transient particle transport in buildings. Proceedings of the 13th REHVA World Congress CLIMA 2019, 5 pages, Bucharest, Romania.
24. Wei, Y., Liu, W., Xue, Y., Zhai, Z., Chen, Q., and Zhang, T. 2019. Integrated inverse design of ventilation for an aircraft cabin. In E3S Web of Conferences (Vol. 85, p. 05006). EDP Sciences.
23. Lai, D., Chen, C., Liu, W., Shi, Y., and Chen, C. 2018. An outdoor thermal comfort model for predicting the probability distribution of thermal sensation. Proceedings of the 15th Conference of the International Society of Indoor Air Quality & Climate (Indoor Air 2018), July 22-27, Philadelphia, PA, USA.
2018
22. Liu, W. and Chen, Q. 2018. A novel diagnostic technology for air infiltration in buildings using an infrared camera, Proceedings of the Roomvent & Ventilation 2018 conference, Paper ID. 7, 349-354, Espoo, Finland.
21. Liu, W. and Chen, Q. 2018. Inverse design of indoor environments by a fast fluid dynamics-based adjoint method, Proceedings of the 4th International Conference on Building Energy and Environment (COBEE 2018), Paper No. 11, 6 pages, Melbourne, Australia.
20. Zhao, X., Liu, W., and Chen, Q. 2018. Optimal design of indoor environment by CFD-based adjoint method with an area constrained topology. Proceedings of the 4th International Conference on Building Energy and Environment (COBEE 2018), Paper No. 82, 6 pages, Melbourne, Australia.
19. Wei, Y., Liu, W., Xue, Y., Zhai, Z., Chen, Q., and Zhang, T. 2018. Inverse design of enclosed air environment by integrating three methods, Proceedings of the 4th International Conference on Building Energy and Environment (COBEE 2018), Paper No. 55, 6 pages, Melbourne, Australia.
2017
18. Liu, W. and Chen, Q. 2017. Two coarse grid generation methods for fast fluid dynamics in simulating indoor airflow. Proceedings of the 10th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC 2017), Jinan, China.
17. Zhao, X., Liu, W., and Chen, Q. 2017. Inverse design of multi-objective problems for indoor environment using a CFD-based adjoint method. Proceedings of the 10th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC), Jinan, China.
2016
16. Liu, W., You, R., Xue, Y., and Chen, Q. 2016. Comparison and integration of CFD-based genetic algorithm and adjoint method for the inverse design of indoor environment. Proceedings of the 14th International Conference on Indoor Air Quality and Climate (Indoor Air 2016), Paper 347, 8 pages, Ghent, Belgium.
15. You, R., Liu, W., Chen, J., Lin, C.-H., Wei, D., and Chen, Q. 2016. Modelling air distribution in aircraft cabins with a simplified gasper model. Proceedings of the 14th International Conference on Indoor Air Quality and Climate (Indoor Air 2016), Paper 99, 8 pages, Ghent, Belgium.
2015
14. Liu, W. and Chen, Q. 2015. Implementation of a fast fluid dynamics model in OpenFOAM with unstructured mesh. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-679, 8 pages.
13. Chen, C., Liu, W., Lin, C.-H., and Chen, Q. 2015. Accelerating the Lagrangian Method for Modeling Transient Particle Transport in Indoor Environments. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-611, 8 pages.
12. Chen, C., Liu, W., Lin, C.-H., and Chen, Q. 2015. A Markov Chain Model for Predicting Transient Particle Transport in Enclosed Environments. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-612, 8 pages.
11. Yin, H., Shen, X., Sasanapuri, B., Liu, W., Zhang, Y., Liu, Y., and Chen, Q. 2015. Modeling Environmental Control System for Aircraft by Coupling with Thermal Environment in Air Cabin. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T1-1040, 8 pages.
10. Cao, Q., Liu, Y., Liu, W., Lin, C.-H., Baughcum, S., Norris, S., Wei, D., Long, Z., Shen, X., and Chen, Q. 2015. Experimental study of particle deposition in an air-conditioning cart and the environmental control system of a commercial MD-82 airplane. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-987, 9 pages.
9. Liu, Y., Cao, Q., Lin, C.-H., Wei, D., Baughcum, S., Norris, S., Yin, H., Liu, W., Long, Z., Shen, X., Chen, Q. 2015. Determining particle deposition in the environmental control system of a regional jet by empirical models. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-1039, 8 pages.
8. You, R., Chen, J., Shi, Z., Liu, W., Lin, C.-H., and Chen, Q. 2015. Experimental and numerical study of gasper-induced airflow in an aircraft cabin mockup. Proceedings of the 9th International Symposium on Heating, Ventilating and Air-Conditioning (ISHVAC) and the 3rd International Conference on Building Energy and Environment (COBEE), Tianjin, China. Paper No. T6-747, 8 pages.
2014
7. Liu, W. and Chen, Q. 2014. Validation of CFD-based adjoint method in inverse identification of air supply location, size, and parameters. Proceedings of the 13th International Conference on Air Distribution in Rooms (ROOMVENT 2014), Sao Paulo, Brazil.
6. Duan, R., Liu, W., Huang, Y., Li, J., Li, B., Lin, C.-H., Liu, J., Shen, X., and Chen, Q. 2014. Comparison of mesh type for CFD simulations of air distributions in aircraft cabins. Proceedings of the 13th International Conference on Air Distribution in Rooms (ROOMVENT 2014), Sao Paulo, Brazil.
2013
5. Liu, W. and Chen, Q. 2013. An adjoint method for optimal ventilation design. Proceedings of the 13th International Conference of the International Building Performance (BS 2013), Chambery, France.
2012
4. Liu, W., Wen, J., Shen, C., Lin, C.-H., Liu, J. and Chen, Q. 2012. Experimental investigation of air distributions in the first-class cabin of an MD-82 commercial airliner. Proceedings of the 2nd International Conference on Building Energy and Environment (COBEE 2012), Boulder, Colorado, 618-625.
2011
3. Liu, W., Lin, C.-H., Liu, J., and Chen, Q. 2011. Simplifying the geometry of an airliner cabin for CFD simulations. Proceedings of the 12th International Conference on Indoor Air Quality and Climate (Indoor Air 2011), Austin, Texas.
2. Wen, J., Liu, W., Mu, X., Lin, C.-H., Liu, J., and Chen, Q. 2011. Thermo-fluid boundary conditions in a commercial aircraft for CFD simulations. Proceedings of the 12th International Conference on Air Distribution in Rooms (ROOMVENT 2011), Trondheim, Norway.
1. Chao, J., Mu, Xuan., Liu, W., Wu, H., Liu, J., and Chen, Q. 2011. Rapid construction of a three-dimensional digital geometric model of an airliner cabin for CFD simulations. Proceedings of the 12th International Conference on Air Distribution in Rooms (ROOMVENT 2011), Trondheim, Norway.
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