Alnouri, Sabla (2015-08). Synthesis and Design Strategies for the Development of Macroscopic Interplant Water Networks in Industrial Zones. Doctoral Dissertation.
Thesis
Increased water scarcity problems, coupled with the immense scale of water-intensive industrial activities in the region demands for the development of optimal water reuse and recycling strategies in industrial cities. Hence, industrial water and wastewater management is a key research priority. As a result, several necessary aspects that have not been addressed previously in water integration methods have been considered in this work, by developing and implementing a framework which allows for improved applications of macroscopic water integration in complex industrial regions. The main components relevant to the planning of cost-effective water networks in a devised city plan have been captured with a focus on identifying cost-effective water allocations within an industrial city.
Detailed information associated with water-using and water-consuming entities have been captured, using both flowrate and contamination information as well as site location information. Hence, a spatial representation that is capable of capturing an industrial city arrangement, has been developed to assist in water network design, an aspect which has often been overlooked in existing methods. Moreover, the presence of a number of different options during the selection process of appropriate treatment technologies, as well as the efficient placement of corresponding treatment facilities, have also been considered. In addition to the above aspects, two different pipeline merging representations that are capable of identifying cost-effective opportunities have also been captured in this work. Both approaches allow for the screening of less complex pipeline networks, by assembling together commonly existing pipe sections, in the course of determining optimal water networks. All methods were implemented and demonstrated using several industrial city layout scenarios, and each method was able to identify a number of optimal synergies.
