h=100 #given height
q=200 #discharge
e=0.9 #efficiency
p=(735.5/75)*q*h*e
print "\npower developed by hydro plant is %0.2f MW"%(p/1e3)
from __future__ import division
%matplotlib inline
from matplotlib.pyplot import plot, title, xlabel, ylabel, show
flow=[0, 1000, 800, 600 ,400 ,400 ,1200, 2400 ,2400, 1000 ,400 ,400 ,1000] #flow in matrix from in the order of months
y=range(0,13)
yy = [(0,1),(1,2),(2,3),(3,4),(4,5)]
xx = [(0,1),(1,2),(2,3),(3,4),(4,5)]
h=150
e=0.85
avg=sum(flow)/12
print "\naverage rate of inflow is %dcu-m/sec"%(avg)
p=(735.5/75)*avg*h*e
print "\npower developed is %0.2f MW"%(p/1e3)
plot(y,flow)
title('hydrograph')
xlabel('months')
ylabel('run in cu-m/sec')
show()
print "hydrograph is ploted in figure"
flow1 = range(0,12)
for x in range(0,12):
t=flow[x]
a=avg
if t<a or t==avg:
t=0
else:
t=t-1000
#end
flow1[x]=t
#end
sto=sum(flow1)
print "\nstorage capacity of given plant is %dsec-m-month"%(sto)
%matplotlib inline
from matplotlib.pyplot import plot, title, xlabel, ylabel, show
flow=[1500, 1000, 500, 500, 500, 1200, 2900, 2900, 1000, 400 ,600 ,1600]
cod=1000#constant demand
#plot2d2(flow)
plot(flow)
title('hydrograph for exp 8.3')
xlabel('months')
ylabel('run off in m**3/sec')
avg=sum(flow)/12
if cod<avg:
flow1 = range(0,6)
for x in range(0,6):
t=flow[x]
if t>cod|t==avg:
t=0
else:
t=cod-t
#end
flow1[x]=t
#end
else:
flow = range(0,12)
flow1 = range(0,12)
for x in range(0,12):
t=flow[x]
a=cod
if t>a|t==avg:
t=0
else:
t=t-cod
#end
flow1[x]=t
#end
#end
sto=sum(flow1)
print "storage capacity of plant is %dsec-m-month"%(sto)
%matplotlib inline
from matplotlib.pyplot import plot, title, xlabel, ylabel, show
flow=[1500, 1000, 500, 500, 500, 1200, 2900, 2900, 1000, 400 ,600 ,1600]
cod=1000#constant demand
#[m n]=size(flow)len
n=len(flow)
mf = range(0,n)
mf[0]=1500
for i in range(2,n):
mf[i]=mf[i-1]+flow[i]
plot(mf)
from numpy import arange
dd= arange(1,mf[n-1],cod)
avg=sum(flow)/12
if cod<avg:
for x in range(0,6):
t=flow[x]
if t>cod|t==avg:
t=0
else:
t=cod-t
#end
flow1[x]=t
#end
else:
for x in range(0,12):
t=flow[x]
a=cod
if t>a|t==avg:
t=0
else:
t=t-cod
#end
flow1[x]=t
#end
#end
sto=sum(flow1)
print "storage capacity of plant is %dsec-m-month"%(sto)
%matplotlib inline
from matplotlib.pyplot import plot, title, xlabel, ylabel, show, subplot
flow=[80, 50 ,40 ,20 ,0 ,100, 150 ,200 ,250 ,120 ,100, 80]
h=100; e=80
subplot(211)
plot(flow)
title('hydrograph')
xlabel('months')
ylabel('run off,millon m**3/month' )
fd=sorted(flow)
subplot(212)
plot(fd)
title('flow duration')
xlabel('months')
ylabel('run off')
t= range(0,12)
for x in range(1,10):
d=fd[x]
ad=fd[(x-1)]
if d==ad:
t[x]=[]
t[x-1]=t[x-1]+1
fd[x]=[]
#end
#end
ffw=fd+t
print "load duration data is as under"
print ffw
mf=sum(flow)*10**6/(30*24*3600)
print "(a)"
print "meanflow is %fm**3-sec"%(mf)
print "(b)"
p=(735.5/75)*mf*h*e
print "power delevered in %dkW=%.3fMW"%(p,p/1000)
mh=205#mean height
a=1000*10**6#in miters
r=1.25#annual rain fall
er=0.8#efficiency
lf=0.75#load factor
hl=5#head loss
et=0.9#efficiency of turbine
eg=0.95#efficiency of generator
wu=a*r*er/(365*24*3600)
print "\nwater used is \t\t%fm**3/sec"%(wu)
eh=mh-hl
print "\neffective head is \t%dm"%(eh)
p=(735.5/75)*(wu*eh*et*eg)
print "\npower generated is \t%fkW =\t%fMW"%(p,p/1000)
pl=p/lf
print "\npeak load is \t\t%fMw \ntherefore the MW rating of station is \t%fMW"%(pl/1000,pl/1000)
if eh<=200:
print "\nfor a head above 200m pelton turbine is suitable,\nfrancis turbine is suitable in the range of 30m-200m.,\nhowever pelton is most suitable"
else:
print "only pelton turbine is most suitable"