Numerous industries are facing serious environmental contamination, because of the significant emission of nitrogen oxide (NOx), sulfur dioxides (SO2), and carbon dioxide (CO2) and it has become imperative to reduce these gaseous emissions. To reduce pollution caused by gaseous emissions, desalination wastewater is possible to be used because it contains highly concentrated useful mineral ions such as Ca2+, Mg2+, and Na+ which react with carbonate, nitrogen, and sulfate ions. This work designed and integrated NOx, SO2, and CO2 capture and utilization processes using desalination wastewater for cleaner production. To design and integrate the NOx, SO2, and CO2 capture and utilization process, a process model is developed based on validated experimental data. The proposed process model comprises the following three steps: (1) electrolysis and metal ion separation of desalination wastewater to produce NaOH, Mg(OH)2, and Ca(OH)2; (2) NOx and SO2 capture and utilization via Ca(OH)2; (3) CO2 capture and utilization using NaOH, Mg(OH)2 and Ca(OH)2. Then the economic feasibility of the suggested process is demonstrated compared to conventional process by economic assessment. As a result, the NOx and SO2 are captured and utilized at about 90% and 99% respectively. In addition, the CO2 is captured at about 91% and the conversion yields of each carbonate are 99% and 63% respectively. To demonstrate the economic feasibility of the proposed process, two cases are set. Case 1 is the case that employs selective catalytic reduction (SCR), wet flue gas desulfurization (WFGD), and a CO2 capture process that uses amine as a CO2 absorbent with an electrodialysis reclaiming unit. Case 2 is the case that employs SCR, WFGD, and the CO2 capture process that uses amines with an ion-exchange resin reclaiming unit. As a result, the total annualized cost of the proposed process was ∼7.9% and 14% lower than those of Case 1 and Case 2, respectively.
|Publication status||Published - 2022 Nov 1|
Bibliographical noteFunding Information:
This work was supported by the Korean Institute of Industrial Technology within the framework of the following projects: “Development of Global Optimization System for Energy Process [grant number IR-22-0040, IZ-22-0049 and UR-22-0031]”, “Development and Application of Industry 4.0 Technology for Process Intensification [grant number IR-22-0041, IZ-22-0051 and UR-22-0030]”, and “Development of AI Platform for Continuous Manufacturing of Chemical Process [grant number JH-22-0004]”.
© 2022 The Author(s)
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Fuel Technology
- Energy Engineering and Power Technology
- Organic Chemistry