OPTIMIZATION OF SMALL BORE SEWER SYSTEM DESIGN

Abstract

Rural and small commumties, by their very geography and development, have a number of problems that make the collection and treatment of wastewater a difficult undertaking. The cost of conventional gravity collection system in rural and small communities was found to dwarf the cost of treatment and disposal.

Small Bore Sewers System can provide an economical way to upgrade existing sanitation facilities to a level of service comparable to conventional sewers. Unlike conventional sewers, primary treatment is provided at each connection and only the settled water is collected.

The objective of this study is to develop a generalized optimization design model for the proposed Small Bore Sewers System. To develop such mathematical model, many variables need to be defined and many constraints have to be written in proper format. The optimization algorithm is a mixed integer programming package called LINGO (Language for Interactive General Optimization) and nonlinear programming package called GINO (General Interactive Optimizer). The Two optimization algorithms were performed to give the optimum design (least-cost) for the small bore sewers network, septic tanks, and the least cost of treatment plant. A software has been developed for the Small Bore Sewers Network Design called (SBS). SBS has been created to give the optimum design (least-cost), and draw the Small Bore Sewers Network. This software is specifically designed for running under WINDOWS. It has been structured and developed by using C++ as an Object-Oriented Programming Language(OOP) integrated with Linear Programming Optimization Language (LINGO), and AUTOCAD software package. SBS improves productivity by helping an engineer select best possible design in a short amount of time. The software was designed to be used by planning engineers who are not necessarily skilled at mathematical programmmg.