Apr. 2022: Congratulations to 

Lucia's Ph.D. student, Bo Deng, for her successful dissertation defense on 04-14-2022.

Explore the Nano World 

Apr. 2022: Congratulations to my 

Ph.D. student, Xiaonan Shi for hersuccessful dissertation defense 

on 04-15-2022.

 Wen's Research Group​

Wen Zhang

Principal Investigator
Associate Professor

Phone: (973) 596-5520 
Fax: (973) 596-5790
Email: wen.zhang@njit.edu

Office Location: Colton Hall 211

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Apr. 2022: Nanobubble Watering Affects Nutrient Release and Soil Characteristics.

Water and Nutrients Recovery from Synthetic Source-separated Human Urine using AGMD

A visiting Ph.D. student, Zhifeng Hu, co-advised by Dr. Wen Zhang’s group at New Jersey Institute of Technology and Dr. Hong Yao’s group at Beijing Jiaotong University, published a paper in Journal of Environmental Chemical Engineering, and investigated the performances of urine separation and water recovery using air gap membrane distillation (AGMD), which recovers water via vapor conversion and transfer across the membrane and concentrates urine salts. The effects of operation conditions (e.g., the temperatures and flow rates of feed and coolant) on water permeate flux were examined. The results show that a high permeate flux (~14 L·m-2·h-1) and a low specific ammonia transfer (< 0.1 g·L-1) were achieved under optimal operations of the feed flow rate and the temperatures. Increasing feed flow or cold coolant flow or the thermal gradients can substantially increase permeate flux. Moreover, the Stefan diffusion model was used to compare and validate the experimental observations. The actual operational parameters and membrane properties (e.g., feed/coolant temperatures, air gap thickness, and membrane thickness) were employed in the model calculation without any fitting or unknown parameters.  The modeling and experimental results matched well and highlights the promising potential of this model for guiding the design and operation of this AGDM process for urine separation and water recovery.

Link: https://doi.org/10.1016/j.jece.2022.107176