annual_network_cost#
module wntr.metrics.economic
- annual_network_cost(wn, tank_cost=None, pipe_cost=None, prv_cost=None, pump_cost=None)[source]#
Compute annual network cost [22].
Use the closest value from the lookup tables to compute annual cost for each component in the network.
- Parameters:
wn (wntr WaterNetworkModel) – Water network model. The water network model is needed to define tank volume, pipe and valve diameter, and pump power conditions.
tank_cost (pandas Series, optional) –
Annual tank cost indexed by volume (default values below, from [22]).
Volume (m3)
Annual Cost ($/yr)
500
14020
1000
30640
2000
61210
3750
87460
5000
122420
10000
174930
pipe_cost (pandas Series, optional) –
Annual pipe cost per pipe length indexed by diameter (default values below, from [22]).
Diameter (in)
Diameter (m)
Annual Cost ($/m/yr)
4
0.102
8.31
6
0.152
10.10
8
0.203
12.10
10
0.254
12.96
12
0.305
15.22
14
0.356
16.62
16
0.406
19.41
18
0.457
22.20
20
0.508
24.66
24
0.610
35.69
28
0.711
40.08
30
0.762
42.60
prv_cost (pandas Series, optional) –
Annual PRV valve cost indexed by diameter (default values below, from [22]).
Diameter (in)
Diameter (m)
Annual Cost ($/m/yr)
4
0.102
323
6
0.152
529
8
0.203
779
10
0.254
1113
12
0.305
1892
14
0.356
2282
16
0.406
4063
18
0.457
4452
20
0.508
4564
24
0.610
5287
28
0.711
6122
30
0.762
6790
pump_cost (pd.Series, optional) –
Annual pump cost indexed by maximum power input to pump (default values below, from [22]). Maximum Power for a HeadPump is computed from the pump curve as follows:
\[Pmp = g*rho/eff*exp(ln(A/(B*(C+1)))/C)*(A - B*(exp(ln(A/(B*(C+1)))/C))^C)\]where \(Pmp\) is the maximum power (W), \(g\) is acceleration due to gravity (9.81 m/s^2), \(rho\) is the density of water (1000 kg/m^3), \(eff\) is the global efficiency (0.75 default), \(A\), \(B\), and \(C\) are the pump curve coefficients.
Maximum power (W)
Annual Cost ($/yr)
11310
2850
22620
3225
24880
3307
31670
3563
38000
3820
45240
4133
49760
4339
54280
4554
59710
4823
- Return type:
Annual network cost in dollars (float)