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csmDOEDemo.py
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csmDOEDemo.py
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# csmDOEDemo.py
# 2013 01 25
''' demonstrate Design of Expt of LCOE using OpenMDAO
Sweeps over a 10x10 grid of rotorDiameter and maxTipSpeed
Saves output at each point in 'doePts.txt'
Plots 3-d wireframe diagram of LCOE vs. rDiam and mTS
Author: G. Scott, NREL, Jan 2013
'''
import sys, os, fileinput
import numpy as np
from openmdao.main.api import Component, Assembly, set_as_top, VariableTree, Slot
from openmdao.lib.drivers.api import DOEdriver
from openmdao.lib.doegenerators.api import FullFactorial, Uniform
from openmdao.lib.casehandlers.api import ListCaseRecorder
from lcoe_csm_assembly import lcoe_csm_assembly
global doplot, rpopt
doplot = True
#doplot = False
rpopt = False # if True, optimize with ratedPower rather than maxTipSpeed
try:
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
except:
doplot = False
sys.stderr.write("Couldn't find matplotlib - no plots will be generated\n")
#-----------------------------------------
class csmDOE(Assembly):
"""Design of Expt for csm LCOE"""
global doplot, rpopt
def configure(self):
# Create Optimizer instance
self.add('driver',DOEdriver())
self.nfact = 10
self.rdMin = 110.0
self.rdMax = 145.0
self.tsMin = 75.0
self.tsMax = 100.0
self.rpMin = 4500.0
self.rpMax = 5400.0
#There are a number of different kinds of DOE available in openmdao.lib.doegenerators
self.driver.DOEgenerator = FullFactorial(self.nfact) # Full Factorial DOE with X levels for each variable
#self.driver.DOEgenerator = Uniform(50) # random uniform sample of points - can't plot results with wireframe
# Create LCOE instances
self.add('lcoe', lcoe_csm_assembly())
# Driver process definition
self.driver.workflow.add('lcoe')
self.driver.iprint = 0
#self.driver.iprint = 1
# Design Variables
self.driver.add_parameter('lcoe.rotorDiameter', low=self.rdMin, high=self.rdMax)
if rpopt:
self.driver.add_parameter('lcoe.ratedPower', low=self.rpMin, high=self.rpMax)
else:
self.driver.add_parameter('lcoe.maxTipSpeed', low=self.tsMin, high=self.tsMax)
self.driver.case_outputs = ['lcoe.lcoe', 'lcoe.turbineCost', 'lcoe.BOScost',
'lcoe.OnMcost', 'lcoe.aep', 'lcoe.ratedPower',
'lcoe.maxTipSpeed']
#Simple recorder which stores the cases in memory.
self.driver.recorders = [ListCaseRecorder(),]
#-----------------------------------------
def main():
global doplot, rpopt
for i in range(1,len(sys.argv)):
if sys.argv[i].startswith('-rp'):
rpopt = True
doe_problem = csmDOE()
import time
tt = time.time()
doe_problem.run()
print "Elapsed time: {:.2f} seconds".format(time.time()-tt)
# show results of each case
lcoeVals = []
diamVals = []
tipsVals = []
rpwrVals = []
X = np.zeros((doe_problem.nfact, doe_problem.nfact))
Y = np.zeros((doe_problem.nfact, doe_problem.nfact))
Z = np.zeros((doe_problem.nfact, doe_problem.nfact))
ofname = 'doePts.txt'
ofh = open(ofname,'w')
ofh.write('LCOE Diam TipSp TurbCost BOSCost OnMCost AEP\n')
nIter = 0
for c in doe_problem.driver.recorders[0].get_iterator():
print 'LCOE {:7.5f} at diameter {:6.2f} m TS {:6.2f} mps'.format(
c['lcoe.lcoe'], c['lcoe.rotorDiameter'], c['lcoe.maxTipSpeed']),
print ' T {:9.1f} B {:9.1f} O {:9.1f} A {:9.1f}'.format(
c['lcoe.turbineCost'], c['lcoe.BOScost'], c['lcoe.OnMcost'],
c['lcoe.aep']),
print
ofh.write('{:7.5f} {:6.2f} {:6.2f} {:9.1f} {:9.1f} {:9.1f} {:9.1f}\n'.format(
c['lcoe.lcoe'], c['lcoe.rotorDiameter'], c['lcoe.maxTipSpeed'],
c['lcoe.turbineCost'], c['lcoe.BOScost'], c['lcoe.OnMcost'],
c['lcoe.aep']))
lcoeVals.append(c['lcoe.lcoe'])
diamVals.append(c['lcoe.rotorDiameter'])
tipsVals.append(c['lcoe.maxTipSpeed'])
rpwrVals.append(c['lcoe.ratedPower'])
ix = nIter / doe_problem.nfact
iy = nIter % doe_problem.nfact
X[ix][iy] = c['lcoe.rotorDiameter']
if rpopt:
Y[ix][iy] = c['lcoe.ratedPower']
else:
Y[ix][iy] = c['lcoe.maxTipSpeed']
Z[ix][iy] = c['lcoe.lcoe']
nIter += 1
ofh.close()
sys.stderr.write("Wrote output to '{:}'\n".format(ofname))
if doplot:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
if rpopt:
ax.scatter(diamVals,rpwrVals, zs=lcoeVals) # 3-d sample points
else:
ax.scatter(diamVals,tipsVals, zs=lcoeVals) # 3-d sample points
ax.plot(diamVals,tipsVals, zs=lcoeVals[-1]) # 2-d projection
plt.title("DOE Sample Points")
ax.set_xlabel('Diameter')
ax.set_ylabel('Tip Speed')
if rpopt:
ax.set_ylabel('Rated Power')
ax.set_zlabel('LCOE')
ax.set_zlim3d(0.98*min(lcoeVals), 1.02*max(lcoeVals))
ax.plot_wireframe(X,Y,Z) # wireframe 'surface' defined by sample points
# projections of curves with constant X|Y|Z onto proper plane
cset = ax.contour(X, Y, Z, zdir='z', offset=0.96*min(lcoeVals), cmap=cm.coolwarm)
cset = ax.contour(X, Y, Z, zdir='x', offset=doe_problem.rdMin-5.0, cmap=cm.coolwarm)
if rpopt:
cset = ax.contour(X, Y, Z, zdir='y', offset=doe_problem.rpMin-50.0, cmap=cm.coolwarm)
else:
cset = ax.contour(X, Y, Z, zdir='y', offset=doe_problem.tsMax+5.0, cmap=cm.coolwarm)
#ax.plot(X, Y, zs=0, zdir='z', label='zs=0, zdir=z')
ax.set_xlim(doe_problem.rdMin-5.0, doe_problem.rdMax)
if rpopt:
ax.set_ylim(doe_problem.rpMin-50.0, doe_problem.rpMax)
else:
ax.set_ylim(doe_problem.tsMin, doe_problem.tsMax+5.0)
ax.set_zlim(0.96*min(lcoeVals), 1.02*max(lcoeVals))
plt.tight_layout()
plt.savefig('DOEpts.png')
sys.stderr.write('Saved plot file DOEpts.png\n')
plt.show()
if __name__=="__main__":
main()