Diagnostics of Regular Performance of Water Distribution Networks and its Relation to the Network Reliability - Pattern Recognition for Reliability Assessment of Water Distribution Networks - page 200

Table 7.16 Pipe flows and volumes in optimised network - CO20Net01

h f (mwc) L(m) D(mm) V(m 3 )

Q(l/s) v(m/s) L/v(s)

Pipe

P01-GA 39.97 3000 147.35 51.160 20 1.17 2558

P02-GA 19.99 4000 207.22 134.900 30 0.89 4497

P03-GA 28.73 2000 169.25 44.996 30 1.33 1500

P01-maD 40.00 3000 148 51.610 20 1.16 2581

P02-maD 20.00 4000 207 134.614 30 0.89 4487

P03-maD 30.00 2000 168 44.334 30 1.35 1478

P01-maD 40.00 3000 148 51.610 20 1.16 2581

P02-maV 20.00 2680 192 77.594 30 1.04 2586

P03-maV 30.00 3000 181 77.191 30 1.17 2573

The results in the third segment of the table show that both the pipe length and diameter have
to be modified if the full correlation between the volumes and flows is to be achieved. As a
result, P02 will become shorter and of smaller diameter, while P03 becomes longer and with
bigger D . Satisfying at the same time the condition of the maximum available head loss in
each pipe means that, next to the nodal demand, this combination will also be influenced by
the nodal elevations and the source head(s). A 'snap-shot' conclusion is that the correlation
between pipe volumes and flows in optimized networks will be stronger the more even the
distribution of geometric and hydraulic parameters is. This point can also be illustrated on a
simple serial network in Figure 7.20.

Figure 7.20 Serial network

Table 7.17 Correlation between pipe flows and volumes and its relation to loss of demand

h f,1 (mwc) h f,2 (mwc) L 1 (m) L 2 (m) D 1 (mm) D 2 (mm) V 1 (m 3 ) V 2 (m 3 ) Q 1 (l/s) Q 2 (l/s) v 1 (m/s) v 2 (m/s) L 1 /v 1 (s) L 2 /v 2 (s) V tot (m 3 )
10 1.75 519.5 572.6 135.187 10 1000 1000 315 270 77.931 57.256 150 100 1.92

9 11 1000 1000 321 264 80.928 54.739 150 100

1.85 1.83 539.5 547.4 135.667

8.8 11.2 1000 1000 323 264 81.940 54.739 150 100 1.83 546.3 547.4 136.679 1.83

10 10 1500 500 341 235 136.990 21.687 150 100 1.64 2.31 913.3 216.9 158.677

15 5 1500 500 315 270 116.897 28.628 150 100

1.92 1.75 779.3 286.3 145.524

19.5 0.5 1500 500 299 426 105.323 71.265 150 100 0.70 702.2 712.7 176.589 2.14

10 10 500 1500 275 292 29.698 100.449 150 100 2.53 1.49 198.0 1004.5 130.147

5 15 500 1500 315 270 38.966 85.883 150 100

1.92 1.75 259.8 858.8 124.849

0.3 19.7 500 1500 551 256 119.224 77.208 150 100 1.94 794.8 772.1 196.432 0.63