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Mathematical modeling can improve our understanding of complex engineering, microbiological, and electrochemical systems for water and wastewater treatment.


18. Zou, S., Kanimba, E., Diller, T.E., Tian, Z.* and He, Z.* (2018) Modeling assisted evaluation of direct electricity generation from waste heat of wastewater via a thermoelectric generator. Science of the Total Environment. Vol 635, pp 1215-1224. [Link to Full Text]

17. Yuan, H., Sun, S., Abu-Reesh, I.M., Badgley, B.D.* and He, Z.* (2017) Unravelling and reconstructing the nexus of salinity, electricity and microbial ecology for bioelectrochemical desalination. Environmental Science & Technology. Vol 51, pp 12672–12682. [Link to Full Text]

16. Qin, M., Liu, Y., Luo, S., Qiao, R.* and He, Z.* (2017) Integrated experimental and modeling evaluation of energy consumption for ammonia recovery in bioelectrochemical systems. Chemical Engineering Journal. Vol 327, pp 924-931. [Link to Full Text]

15. Sun, H., Luo, S., Jin. R.* and He, Z.* (2017) Ensemble engineering and statistical modeling for parameter calibration towards optimized design of microbial fuel cells. Journal of Power Sources. Vol 356, pp 288-298. [Link to Full Text]

14. Luo, S., Wang, Z.W. and He, Z.* (2017) Mathematical modeling of the dynamic behavior of an integrated photo-bioelectrochemical system for simultaneous wastewater treatment and bioenergy recovery. Energy. Vol 124, pp 227-237. [Link to Full Text]

13. Zhao, L., Li, J., Battaglia, F.* and He, Z.* (2016) Computational investigation of the flow field contribution to improve electricity generation in granular activated carbon - assisted microbial fuel cells. Journal of Power Sources. Vol 333, pp 83-87. [Link to Full Text]

12. Ping, Q., Abu-Reesh, I.M. and He, Z.* (2016) Mathematical modeling based evaluation and simulation of boron removal in bioelectrochemical systems. Science of the Total Environment. Vol 569-570, pp 1380-1389. [Link to Full Text]

11. Zhao, L., Li, J., Battaglia, F.* and He, Z.* (2016) Investigation of multiphysics in tubular microbial fuel cells by coupled computational fluid dynamics with multi-order Bulter-Volmer reactions. Chemical Engineering Journal. Vol 296, pp 377-385. [Link to Full Text]

10. Liu, Y., Qin, M., Luo, S., He, Z.* and Qiao, R.* (2016) Understanding ammonium transport in bioelectrochemical systems towards its recovery. Scientific Reports. 6: 22547. [Link to Full Text] (open access)

9. Luo, S., Sun, H., Ping, Q., Jin, R.* and He, Z.* (2016) A review of modeling bioelectrochemical systems: engineering and statistical aspects. Energies. 9: 111. [Link to Full Text] (open access)

8. Yuan, H., Abu-Reesh, I.M. and He, Z.* (2016) Mathematical modeling assisted investigation of forward osmosis as pretreatment for microbial desalination cells to achieve continuous water desalination and wastewater treatment. Journal of Membrane Science. Vol 502, pp 116-123. [Link to Full Text]

7. Li, J., Rosenberger, G. and He, Z.* (2016) Integrated experimental investigation and mathematical modeling of a membrane bioelectrochemical reactor with an external membrane module. Chemical Engineering Journal. Vol 287, pp 321-328. [Link to Full Text]

6. Li, J. and He, Z.* (2016) Development of a dynamic mathematical model for membrane bioelectrochemical reactors with different configurations. Environmental Science and Pollution Research. Vol 23, pp 3897-3906. [Link to Full Text]

5. Sun, H., Luo, S., Jin. R.* and He, Z.* (2015) A multi-task lasso model for investigating multi-module design factors, operational factors and covariates in tubular microbial fuel cells. ACS Sustainable Chemistry & Engineering. Vol 3, pp 3231-3238. [Link to Full Text]

4. Yuan, H., Lu, Y., Abu-Reesh, I.M. and He, Z.* (2015) Bioelectrochemical production of hydrogen in an innovative pressure retarded osmosis - microbial electrolysis cell system: experiments and modeling. Biotechnology for Biofuels. 8: 116. [Link to Full Text] (open access)

3. Qin, M., Ping, Q., Lu, Y., Abu-Reesh, I.M. and He, Z.* (2015) Understanding electricity generation in osmotic microbial fuel cells through integrated experimental investigation and mathematical modeling. Bioresource Technology. Vol 195, pp 194-201.[Link to Full Text]

2. Ping, Q., Huang, Z., Dosoretz, C. and He, Z.* (2015) Integrated experimental investigation and mathematical modeling of brackish water desalination and wastewater treatment in microbial desalination cells. Water Research. Vol 77, pp 13-23. [Link to Full Text]

1. Ping, Q., Zhang, C., Chen, X., Zhang, B., Huang, Z.* and He, Z.* (2014) Mathematical model of dynamic behavior of microbial desalination cells for simultaneous wastewater treatment and water desalination. Environmental Science & Technology. Vol 48, pp 13010-13019. [Link to Full Text]

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