Average wake planes
# Add any possible locations of amr-wind-frontend here
amrwindfedirs = ['/projects/wind_uq/lcheung/amrwind-frontend/',
'/ccs/proj/cfd162/lcheung/amrwind-frontend/']
import sys, os, shutil, io
for x in amrwindfedirs: sys.path.insert(1, x)
import postproamrwindsample_xarray as ppsample
import postproengine as ppeng
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
/ascldap/users/lcheung/.local/lib/python3.9/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.1' currently installed).
from pandas.core.computation.check import NUMEXPR_INSTALLED
/ascldap/users/lcheung/.local/lib/python3.9/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.4' currently installed).
from pandas.core import (
# Load ruamel or pyyaml as needed
try:
import ruamel.yaml as yaml
print("# Loaded ruamel.yaml")
useruamel=True
loaderkwargs = {'Loader':yaml.RoundTripLoader}
dumperkwargs = {'Dumper':yaml.RoundTripDumper, 'indent':4, 'default_flow_style':False}
except:
import yaml as yaml
print("# Loaded yaml")
useruamel=False
loaderkwargs = {}
dumperkwargs = {'default_flow_style':False }
if useruamel: Loader=yaml.load
else: Loader=yaml.safe_load
from functools import partial
# Loaded ruamel.yaml
def stringReplaceDict(s, dreplace):
outstr = str(s)
for k, g in dreplace.items():
outstr=outstr.replace(k, g)
return outstr
def interppoints(xD):
x = 240*xD
ptlist = [[x, 0, z] for z in np.linspace(1, 240*2, 240*2)]
return ptlist
ppeng.interppoints4 = partial(interppoints, 4)
ppeng.interppoints6 = partial(interppoints, 6)
ppeng.interppoints8 = partial(interppoints, 8)
ppeng.interppoints10 = partial(interppoints, 10)
def interpXY(xD):
"""
Interpolate on the XY hub-height plane plane
"""
D = 126.0
x0 = D*4.0
y0 = D*2.0
z0 = 90.0
x = D*xD
#ptlist = [[x+x0, y+y0, z0] for y in np.linspace(-D*2, D*2, int(D*4+1))]
ptlist = [[x+x0, y+y0] for y in np.linspace(-D*2, D*2, int(D*4+1))]
return ptlist
for x in [1,2,3,4,5,6,7,8,9,10]:
setattr(ppeng, 'interpXY'+repr(x), partial(interpXY, x))
def interpXZ(xD):
"""
Interpolate on the XZ streamwise plane
"""
D = 126.0
x0 = D*4.0
y0 = 0
x = D*xD
ptlist = [[x+x0, y+y0] for y in np.linspace(1, D*2, int(D*2))]
return ptlist
for x in [1,2,3,4,5,6,7,8,9,10]:
setattr(ppeng, 'interpXZ'+repr(x), partial(interpXZ, x))
RUNDIR='/tscratch/lcheung/HFM/exawind-benchmarks/NREL5MW_ALM_RIGID_OFv402.redo/'
RESULTSDIR='../results/'
yamlstring="""
globalattributes:
verbose: False
udfmodules: []
executeorder:
- avgworkflow
trange: &trange [15300, 15900]
interpXYstuff: &interpanchor
pointlocationfunction: postproengine.interpXY4 #Function to call to generate point locations. Function should have no arguments and return a list of points (Required)
pointcoordsystem: A1A2 #Coordinate system for point interpolation. Options: XYZ, A1A2 (Required)
varnames: ['velocityx_avg', 'velocityy_avg', 'velocityz_avg'] #List of variable names to extract. (Required)
savefile: ../results/HHProfiles_300_900/XY_wake_04.csv
avgworkflow:
avgplanes:
- name: turbHH
ncfile:
- RUNDIR/post_processing/turbhh_30000.nc
tavg: *trange
varnames: [ 'velocityx', 'velocityy', 'velocityz'] #
#savepklfile: avg_fixed_hhdomain.pkl # Name of pickle file to save results (Optional, Default: '')
#loadpklfile: avg_fixed_hhdomain.pkl
#group: T0_YZ_wake2 # Which group to pull from netcdf file (Optional, Default: None)
contourplot:
plotfunc: "lambda db: np.sqrt(db['velocityx_avg']**2 + db['velocityy_avg']**2)"
title: 'NREL5MW ALM AVG horizontal velocity'
xaxis: a1
yaxis: a2
xlabel: "x/D"
ylabel: "y/D"
iplane: [0]
clevels: np.linspace(0, 14, 141)
cbar_nticks: 15
xscalefunc: "lambda x: (x-504.0)/126.0"
yscalefunc: "lambda y: (y-252.0)/126.0"
figsize: [12, 4]
savefile: '../results/images/turbineHH_AVG_300_900.png'
plotturbines:
- basexyz: [0.0, 0.0, 0]
hubheight: 0.0
rotordiameter: 1.0
nacelledir: 270
ix: 0
iy: 1
interpolate: #ACTION: Interpolate data from an arbitrary set of points (Optional)
- << : *interpanchor
pointlocationfunction: postproengine.interpXY1
savefile: ../results/HHProfiles_300_900/XY_wake_01.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY2
savefile: ../results/HHProfiles_300_900/XY_wake_02.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY3
savefile: ../results/HHProfiles_300_900/XY_wake_03.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY4
savefile: ../results/HHProfiles_300_900/XY_wake_04.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY5
savefile: ../results/HHProfiles_300_900/XY_wake_05.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY6
savefile: ../results/HHProfiles_300_900/XY_wake_06.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY7
savefile: ../results/HHProfiles_300_900/XY_wake_07.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY8
savefile: ../results/HHProfiles_300_900/XY_wake_08.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXY9
savefile: ../results/HHProfiles_300_900/XY_wake_09.csv
- name: turbSW
ncfile:
- RUNDIR/post_processing/turbsw_30000.nc
tavg: *trange
#savepklfile: avg_fixed_hhdomain.pkl # Name of pickle file to save results (Optional, Default: '')
#loadpklfile: avg_fixed_hhdomain.pkl
#group: T0_YZ_wake2 # Which group to pull from netcdf file (Optional, Default: None)
contourplot:
plotfunc: "lambda db: np.sqrt(db['velocityx_avg']**2 + db['velocityy_avg']**2)"
title: 'NREL5MW ALM AVG horizontal velocity'
xaxis: a1
yaxis: a2
xlabel: "x/D"
ylabel: "$(z-z_h)/D$"
iplane: [0]
clevels: np.linspace(0, 14, 141)
cbar_nticks: 8
xscalefunc: "lambda x: (x-504.0)/126.0"
yscalefunc: "lambda y: (y-90.0)/126.0"
figsize: [12, 3]
savefile: '../results/images/turbineSW_AVG_300_900.png'
plotturbines:
- basexyz: [0.0, 0.0, 0]
hubheight: 0.0
rotordiameter: 1.0
nacelledir: 270
ix: 0
iy: 2
interpolate:
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ1
savefile: ../results/XZProfiles_300_900/XZ_wake_01.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ2
savefile: ../results/XZProfiles_300_900/XZ_wake_02.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ3
savefile: ../results/XZProfiles_300_900/XZ_wake_03.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ4
savefile: ../results/XZProfiles_300_900/XZ_wake_04.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ5
savefile: ../results/XZProfiles_300_900/XZ_wake_05.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ6
savefile: ../results/XZProfiles_300_900/XZ_wake_06.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ7
savefile: ../results/XZProfiles_300_900/XZ_wake_07.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ8
savefile: ../results/XZProfiles_300_900/XZ_wake_08.csv
- << : *interpanchor
pointlocationfunction: postproengine.interpXZ9
savefile: ../results/XZProfiles_300_900/XZ_wake_09.csv
"""
f = io.StringIO(stringReplaceDict(yamlstring, {'RUNDIR':RUNDIR, 'RESULTSDIR':RESULTSDIR}))
yamldict = Loader(f, **loaderkwargs)
# Run the driver
ppeng.driver(yamldict, verbose=True)
Initialized avgplanes
Running avgplanes
/tscratch/lcheung/HFM/exawind-benchmarks/NREL5MW_ALM_RIGID_OFv402.redo//post_processing/turbhh_30000.nc 697
Getting data from ncfile: /tscratch/lcheung/HFM/exawind-benchmarks/NREL5MW_ALM_RIGID_OFv402.redo//post_processing/turbhh_30000.nc
[============================================================] 100.0%
Ncount = 697
Initialized contourplot inside avgplanes
Executing contourplot
Initialized interpolate inside avgplanes
Executing interpolate
/tscratch/lcheung/HFM/exawind-benchmarks/NREL5MW_ALM_RIGID_OFv402.redo//post_processing/turbsw_30000.nc 697
Getting data from ncfile: /tscratch/lcheung/HFM/exawind-benchmarks/NREL5MW_ALM_RIGID_OFv402.redo//post_processing/turbsw_30000.nc
[============================================================] 100.0%
Ncount = 697
Initialized contourplot inside avgplanes
Executing contourplot
Initialized interpolate inside avgplanes
Executing interpolate
# Write out the notebook to a python script
!jupyter nbconvert --to script AVGPlanes.ipynb
with open('AVGPlanes.py', 'r') as f:
lines = f.readlines()
with open('AVGPlanes.py', 'w') as f:
for line in lines:
if "'matplotlib', 'inline'" in line: line = 'plt.show(block=False)'
if 'nbconvert --to script' in line:
break
else:
f.write(line)
[NbConvertApp] Converting notebook AVGPlanes.ipynb to script
[NbConvertApp] Writing 8465 bytes to AVGPlanes.py