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008 301098s1983 th r 000|0 eng d
035 _a.b10199202
099 9 _aAIT Thesis no.EV-83-8
100 1 _aGaurino, Bienvenido G.
245 1 0 _aDevelopment of an optimization model for the distribution of pumping stations in a water distribution network
260 _aBangkok :
_bAsian Institute of Technology,
_c1983
300 _a72, A40, B7, C31 p.
490 1 _aThesis ;
_vno. EV-83-8
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1983
520 _aA 'Screening model' has been formulated for the optimal distribution of pumping stations using the linear programming technique. The model provides guidelines on the selection of optimal sites for booster pumping stations from a number of candidate locations. The application of the screening model on three sample networks, each with nine candidate locations for booster pumping station which could be chosen in 511 different combi- nations, indicated that two to four program runnings are sufficient to arrive at an optimal distribution. The model has been found out to be applicable to large networks by schematizing the network extensively for the first run. The succeeding sets of runs could be made on the less exten- sively schematized subnetworks which are to be isolated by closed valves. The study has proven that in some networks the use of valves to isolate subnetworks may be necessary not only in reducing the sytem cost but also in making a design option feasible in conjunction with the use of booster pumps. A related problem of distributing the operational storage requirement has been dealt with in this study. To solve the problem, a simulation study was conducted on a simple network with one off-line booster by varying the rated capacity of the source pumps as well as the design flows of the pipes leading to the booster from the peak hour demand down to the lowest possible flow rate, i.e. to a value just enough to meet the demand pattern. The re- servoir at the off-line booster was sized correspondingly (increased as flow rate decreased) to the storage requirement of the downstream service area at each variation. The system cost for each variation was solved using a linear optimization model. The results have shown that the lower extreme of flow rate with the corresponding upper extreme of storage requirement at off-line boosters makes the optimum design. This finding was confirmed in the same study made on two large sample networks. Incidentally, it was found out that for a large. network and high service pressure requirement, the system cost could be .reduced further by using separate transmission lines to fill up the reservoirs at booster pumping stations.
650 1 0 _aWater quality management
_xNepal
_xPhewa Lake
700 1 _aOrth, H.M.,
_eChairperson
700 1 _aLohani, B.N.,
_eExamination Committee
700 1 _aNguyen, Cong Thanh,
_eExamination Committee
710 2 _aUS-ASEAN Development Cooperation Program,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. EV-83-8
907 _a.b10199202
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