Agriculture consumes about 70% of the total available freshwater withdrawals around the world. Further, rapid population growth and industrialisation leads to the increased demand for water and putting additional stress on the limited sources of water. To meet the increasing demand, the efficient use of water and forming alternative sources. Membrane technologies can probably play a significant role in recycling wastewater as well as creating an alternative source of water. However, these technologies require higher power to operate them. A significantly low energy consumption membrane technology will be beneficial for wastewater treatment and agriculture thereby reducing the impact on climate change.
Lately, forward osmosis (FO) has grown interest in membrane technologies that use the natural osmosis principle utilizing the osmotic gradient of the solutions which does not require hydraulic pressure. Thus, the FO process requires lower power necessary for recirculating the solutions across the membranes. Generally, in FO processes, clean water is extracted from a lower concentrated feed solution (FS) through a semi-permeable membrane to a highly concentrated draw solution (DS). The issues of fouling in the FO process are less challenging compared to reverse osmosis (RO) processes. Nevertheless, the lack of suitable DS for the FO processes in wastewater treatment is a challenge. The diluted DS still cannot be directly utilised for drinking which requires additional treatment requiring energy and resources making the FO process highly challenging compared to other membrane technologies.
The uniqueness in the FO process lies in the applications which can either directly use the diluted DS with the draw solutes or in applications that do not require total removal of draw solutes. Thus, the FO process for textile wastewater treatment is suggested with the use of fertilizers as DS in which the diluted fertilizer solution can be used for processes like fertigation. This concept can be applied for textile wastewater treatment which consumes large volumes of water thereby generating higher quantities of wastewater and the use of fertilizers as DS can avoid the requirement of additional treatment stages for the recovery of raw solutes. The aim of this study is hence to study the FO process for its applications in textile wastewater treatment and fertilizers as DS for fertigation, investigate the impacts of various process parameters influencing the performance of the FO process, model and optimise the FO process for various performance factors and to evaluate the techno-economic feasibility for pilot-scale studies. The study has been discussed in eight chapters which describe the FO process, modelling and optimisation of FO performance to identify the suitable fertilizer DS for textile wastewater treatment by investigating the various process variables through experimental design and modelling using machine learning techniques. Further to investigate the feasibility studies for pilot-scale studies.
The initial experimental investigation of the FO process was carried using response surface methodology (RSM) for prediction and optimization of FO process using low concentration DS. The process variables were FS temperature, DS concentration & FS concentration. These variables were subjected to regression models and had R2-values > 0.9. FS temperature had a negative impact on the weight transfer from DS, while FS/DS concentration had a direct correlation to the performance. At FS temperature of 29°C, DS at 13986 mg/L and FS at 1702 mg/L produced the best results thereby lowering the DS regeneration costs. At this condition, the models were experimentally validated confirming the predictive ability of the models.
Further study was carried by using Potassium Chloride (KCl) as DS for treating textile wastewater as FS. The effects of FS temperature, pH, FS, and DS concentrations were investigated. The water flux, reverse salt flux, and specific reverse salt flux was studied for these parameters. DS and FS properties, osmotic potential, and temperature played a vital role in the performance of FDFO. At the FS temperature of 30°C, the water flux of 5.5 LMH was found to be the highest. Reverse salt flux increased due to the increase in solute diffusivity. The highest water flux was obtained for a DS of 1.150M and an FS of 1000 mg/L. The water permeation improved due to the difference in DS and FS concentrations for the pH above 7. The results of FDFO suggested that KCl as DS has a higher potential for the treatment of textile wastewater at a higher temperature of 30 °C. The influences of these variables were considered for the modelling of the FO process using machine learning techniques.
From the observed influence of various factors on the performance of FO process was applied for the treatment of textile industry wastewater using fertilizer as DS by modelling and optimisation of FO process using machine learning techniques like Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). To model the FO process, a central composite design was utilized to examine the effect of initial draw concentration, initial feed concentration, time, initial feed pH and temperature on the water flux and reverse salt flux. The optimum water flux (8.527 LMH) and reverse salt flux (7.246 GMH) was obtained using an initial draw concentration of 1.625 M, initial feed concentration of 1090 mg/L, the reaction time of 90 mins, initial feed pH of 7.33 and temperature of 35°C. Under these conditions, FO performance was carried out experimentally and validated with the models. The model developed for the FO process by ANN and RSM was considerably better than that of other models in terms of precision of predicting the water flux and the reverse salt flux, respectively. About six different chemical fertilizer solutions were screened and tested at optimum conditions to identify the best suitable fertilizer DS for the FO process using textile wastewater. The results indicate that Diammonium Phosphate (DAP) along with Potassium Chloride (KCl) fertilizer as DS gave a better performance concerning water flux.
In the techno-economic study, 1.625 M of KCl was used as fertilizer DS and textile wastewater as FS. The optimum FS concentration of 1091 mg/L and FS temperature of 35°C provided the highest water flux (8.527 L/m2h) thereby requiring $0.392/m3 low unit cost of treatment. Sensitivity analysis determined that increasing the FS temperature decreases the water cost. This determines that the FS temperature highly sensitive for unit treatment cost. Further, it was found that Nitrogen/ Phosphorus based fertilizers had lower water cost compared to Potassium/ Phosphorus based fertilizers.
Finally, this study recommended additional investigations using commercial fertilizers as DS to enhance the performance of the FO process. Further, a pressure-assisted osmosis process was recommended to improvise and enhance the water flux generation with lower power consumption than RO/NF processes. Also, other recommendations included the study on membrane fouling and real-time pilot-scale application using various membranes for the treatment of textile wastewater.