Student Advising

M. Shah Alam Khan

 

 


 

Name of the student: MOHAMMAD AMINUR RAHMAN SHAH

Program: M.Sc. (WRD)

 

Title: AN OPTIMIZATION MODEL FOR A SELECTED REGION OF DHAKA WASA WATER SUPPLY SYSTEM

 

 

Background and the Present State of the Problem:

 

Dhaka Water Supply and Sewerage Authority (DWASA) is responsible for water supply in    6 zones of Dhaka city and Narayanganj covering an area of approximately 470 sq.km. The water supply system includes 403 deep tube-wells (85% supply) and 4 surface water treatment plants (15% supply). Additionally, approximately 400 deep tube-wells are operated by other public and private organizations (DWASA, 2002). DWASA is able to supply 95% (1525 MLPD) of the total water demand in its service area with full utilization of the available sources (Haq, 2002).

 

Diversified demand and source constraints have made management of the water supply system complex. For example, operation of the production wells may depend on the ground water level while the production cost depends on whether the pumps are run by electricity or diesel. Although DWASA has been taking initiatives to fully meet the water demand (DWASA, 1992), very limited cost-benefit analysis of water supply has been carried out. To maximize economic benefit from the existing water supply system and cost-effectively plan future expansions, there is a need to consider the relevant constraints and scenarios. Also, analysis of the system may be often required to control supply to different zones of the service area. A linear optimization model can serve as a useful tool for managers and planners for such analysis and decision-making.

 

 

Objective with Specific Aim and Possible Outcome:

 

The aim of the study is to develop a linear optimization model for a piped ground water supply system.

 

The objective of the study is to optimize water supply from different production wells in a selected service area of DWASA at different levels of demand.

 

The outcome of the study will be a linear optimization model of the water supply system of DWASA that will be able to determine cost-minimized water supply quantities from different sources having varying cost functions, and assist planners in decision-making for modification of the system.

 

 

Outline of Methodology:

 

Study Area:  The Uttara area will be considered for this study.  This area is located in MODS Zone 5 of DWASA service area and linked to the main pipe network of DWASA through a booster pump which is currently inoperative. Only groundwater is supplied in this area from 14 deep tube wells.

 

Data Collection and Processing: Secondary data regarding production cost and supply of groundwater, water extraction stations, water supply network, water demand, ground water level etc. will be collected from organizations including DWASA, Bangladesh Bureau of Statistics, Institute of Water Modeling and WARPO. All pump stations will be visited to collect data regarding pump operation and treatment method.

 

Development of Optimization Model: The optimization model will be developed by Linear Programming Method. Decision variables (e.g. water quantities to be supplied from each well), constraints (e.g. minimum groundwater level, plant capacity), and constants (e.g. fixed and variable cost of pump operation) will be determined based on secondary information. A computer software, LINDO (LINDO Systems, Inc., 1997), will be used for test applications. Results from the model applications will be compared to the actual cost and supply data of DWASA.

 

 

References:

 

DWASA (1992), Feasibility Study Final Report, Dhaka City Emergency Water Supply Project, Vol. 1, 2 & 3. Dhaka Water Supply and Sewerage Authority, Dhaka.

 

DWASA (2002), Yearly Report 2001-2002, Dhaka Water Supply and Sewerage Authority, Dhaka.

 

Haq, K. A. (2002), Saidabad ware treatment plant: dream to reality. In Souvenir of Inaugural ceremony of Saidabad Surface Water Treatment Plant, Dhaka Water Supply and Sewerage Authority, Dhaka.

 

LINDO Systems, Inc. (1997), Student LINDO/PC, Release 6.01, Chicago.

 

 


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