Urban water supply management through fuzzy programming

• Main Author: Chen, Puluo
• Other Authors: School of Civil and Environmental Engineering
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/61124
• Institution: Nanyang Technological University

As fresh water resources are limited and population in urban areas is growing rapidly today, urban water supply management is needed in order to meet the increasing water demands as well as to reduce the water wastage. Generally, a water supply system consists of four components, which are water resources, treatments, reservoirs and consuming zones. The related parameters to these components like leakage rate, transfer cost, etc. are usually under uncertainty due to incomprehensive information. To optimize a water supply system, triangular fuzzy chance-constrained programming is applied in this study , and the case of Hamedan City in Iran is selected for domostration. The parameters with uncertainty are expressed as triangular-shaped fuzzy numbers. With an objective of minimizing the system cost and several chance constraints, the whole simulation is conducted at several confidence levels with the help of linear programming software. Results show that triangular fuzzy chance-constrained programming is able to generate reasonable solutions at a higher confidence level.