Abstract

Minimizing water supply costs has always been the goal of water companies. However, it is not an easy task to minimize costs and meet customers’ water pressure needs in a water supply system with multiple sources and different unit costs of water discharge. In this paper, we develop a search method that incorporates the concepts of local search and steepest descent. First, we establish the discharge pressure of each water source as a variable and start searching the neighborhood for a feasible initial solution. The steepest descent concept is then used to find the most cost-effective solution in the neighborhood, before the initial solution is updated. We then iterate the search as described above until either the constraint is met or the amount of cost variation reaches an acceptable level. A simple example is used to explore the optimal solution characteristics. This is then followed by an analysis of a practical water supply system with up to six water sources. Compared with the original operation model, the optimized result can save 15.6%, 9.0%, and 12.7% of the total cost of water supply during off-peak, normal, and peak periods, respectively. We use the commonly used hydraulic analysis software EPANET to build different functional valve classes to satisfy various constraints for the purpose of simplifying the optimized search codes automatically. This method uses low levels of computational resources to obtain an acceptable and reasonable solution in a short time.

Highlights

  • IntroductionIn pursuit of the goal of maximizing operational performance, it is necessary to meet the most basic service quality, that is, to meet the minimum acceptable water pressure for customers

  • It is not easy to solve the problem by iterative linear programming, but the solution can be solved by nonlinear programming

  • The actual Kaohsiung system in Taiwan was used as a case study to analyze the potential for improvement of the existing operation model, which will serve as a reference for the water company’s allocation of water discharge in the water treatment plant (WTP) in the future

Read more

Summary

Introduction

In pursuit of the goal of maximizing operational performance, it is necessary to meet the most basic service quality, that is, to meet the minimum acceptable water pressure for customers. For a multiple loading WDS, each water treatment plant (WTP) has a different water unit cost due to variations in raw water quality, drinking water quality standards, water purification procedures, and site elevation, etc. To meet the customer’s water pressure demand and minimum cost simultaneously, we should appropriately allocate the water discharge from each plant. Due to the high hardness and total dissolved solids (close to 300 mg/L and 500 mg/L, respectively, during the dry season) in the raw water of the Gaoping River, four of the WTPs were contracted out to professional water treatment companies for additional advanced water treatment procedures, such as pellet softening or reverse osmosis, in order to meet the public’s demand for drinkability.

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call