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Optimal operation of water distribut...
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Sakarya, Ayse Burcu.
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Optimal operation of water distribution systems for water quality purposes.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Optimal operation of water distribution systems for water quality purposes./
作者:
Sakarya, Ayse Burcu.
面頁冊數:
368 p.
附註:
Source: Dissertation Abstracts International, Volume: 59-04, Section: B, page: 1771.
Contained By:
Dissertation Abstracts International59-04B.
標題:
Engineering, Civil. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9828214
ISBN:
059180722X
Optimal operation of water distribution systems for water quality purposes.
Sakarya, Ayse Burcu.
Optimal operation of water distribution systems for water quality purposes.
- 368 p.
Source: Dissertation Abstracts International, Volume: 59-04, Section: B, page: 1771.
Thesis (Ph.D.)--Arizona State University, 1998.
The objective of this research is to develop an optimization model which can be used to determine the optimal operation schedules of the pumps in a water distribution system for a predefined time horizon for water quality purposes while satisfying the hydraulic, the water quality, and the bound constraints. The problem is formulated as a discrete time optimal control problem in which pump operation times are the control variables and the discharges within each pipe, the pressure heads and the substance concentrations at each node of the distribution system are the state variables. Bound constraints on the state variables are incorporated into the objective function using the augmented Lagrangian and the bracket penalty methods. Three different objective functions can be used in the model: (1) the minimization of the deviations of actual substance concentrations from the desired concentration values, (2) the minimization of the total pump duration times, and (3) the minimization of the total energy cost.
ISBN: 059180722XSubjects--Topical Terms:
783781
Engineering, Civil.
Optimal operation of water distribution systems for water quality purposes.
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The objective of this research is to develop an optimization model which can be used to determine the optimal operation schedules of the pumps in a water distribution system for a predefined time horizon for water quality purposes while satisfying the hydraulic, the water quality, and the bound constraints. The problem is formulated as a discrete time optimal control problem in which pump operation times are the control variables and the discharges within each pipe, the pressure heads and the substance concentrations at each node of the distribution system are the state variables. Bound constraints on the state variables are incorporated into the objective function using the augmented Lagrangian and the bracket penalty methods. Three different objective functions can be used in the model: (1) the minimization of the deviations of actual substance concentrations from the desired concentration values, (2) the minimization of the total pump duration times, and (3) the minimization of the total energy cost.
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The resulting optimum control problem is a large scale nonlinear programming problem which can not be solved by using existing nonlinear programming codes. The solution of the optimization problem is obtained by interfacing a simulation code which solves the hydraulic and the water quality constraints with a nonlinear optimization code. A computer program, OPOWQP is developed which interfaces simulation code, EPANET with nonlinear optimization code, GRG2. OPOWQP has the ability to simulate the flow, pressure and substance concentration distributions in a water distribution system, and to determine the optimal operation schedule of the pumps for each time interval of a predefined planning horizon for water quality purposes.
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The effectiveness of model is tested using both hypothetical and actual existing water distribution systems. It is found that considering the minimization of the total pump operation time or the total energy cost as the objective function, and using the substance concentration violation term as a bound constraint gives better results than using the minimization of the substance concentration from the desired values as the objective function. Both penalty methods, the augmented Lagrangian and the bracket penalty methods give similar results.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9828214
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