Published in Applied Energy, 2021
This paper revealed heterogeneity in water and energy consumption patterns of buildings.
Recommended citation: Frankel, M., Xing, L., Chewning, C., & Sela, L. (2021). Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings. Applied Energy, 281, 116074. https://doi.org/10.1016/j.apenergy.2020.116074
Published in Advances in Engineering Software, 2020
This paper contributed the first open-soure and general-purpose Python package for transient simulation in water networks.
Recommended citation: Xing, L., & Sela, L. (2020). Transient simulations in water distribution networks: TSNet python package. Advances in Engineering Software, 149, 102884. https://doi.org/10.1016/j.advengsoft.2020.102884
Published in Water, 2020
This study evaluates the impacts of the projected decrease in residential water demands on the deterioration of the water quality.
Recommended citation: Abokifa, A. A., Xing, L., & Sela, L. (2020). Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model. Water, 12(4), 1033. https://doi.org/10.3390/w12041033
Published in Water Research, 2019
This paper proposed a time series data mining method to discover pressure patterns from high-resolution pressure data.
Recommended citation: Xing, L., & Sela, L. (2019). Unsteady pressure patterns discovery from high-frequency sensing in water distribution systems. Water research, 158, 291-300. https://doi.org/10.1016/j.watres.2019.03.051