Water scarcity and stricter regulations on industrial effluents have led to a different view of water use. Water recycling / reuse is the most common technology used to reduce water and wastewater. The integration of multiple industrial plants, known as the inter-plant integration, has gained a great attention in recent years. Inter- plant water integration is a new technology that can be applied to water integration. This technology can be used to reduce water consumption and water discharge of various water networks in eco-industrial plants. This can be achieved directly or indirectly through the use of regenerators. In this work, a superstructure model for the indirect inter-plant water integration is proposed, for selecting the optimum regenerators of single pass and partitioning regenerators. Mixed integer non-linear program (MINLP) was formulated and solved for optimum solution. A literature case study is used to verify the effectiveness of the proposed model. The results showed that there was a significant decrease in the fresh and the discharge water of the integrated plants.
Shehata, W., & Gad, F. (2020). A superstructure model for indirect inter-plant water integration for selecting the optimum single-pass and partitioning regenerators. Journal of Petroleum and Mining Engineering, 22(2), 1-8. doi: 10.21608/jpme.2020.36996.1042
MLA
Walaa Shehata; Fatma Gad. "A superstructure model for indirect inter-plant water integration for selecting the optimum single-pass and partitioning regenerators". Journal of Petroleum and Mining Engineering, 22, 2, 2020, 1-8. doi: 10.21608/jpme.2020.36996.1042
HARVARD
Shehata, W., Gad, F. (2020). 'A superstructure model for indirect inter-plant water integration for selecting the optimum single-pass and partitioning regenerators', Journal of Petroleum and Mining Engineering, 22(2), pp. 1-8. doi: 10.21608/jpme.2020.36996.1042
VANCOUVER
Shehata, W., Gad, F. A superstructure model for indirect inter-plant water integration for selecting the optimum single-pass and partitioning regenerators. Journal of Petroleum and Mining Engineering, 2020; 22(2): 1-8. doi: 10.21608/jpme.2020.36996.1042