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reporting.py
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import xlwt
import colour
import numpy as np
from os.path import dirname, join
from configuration import TimeOfDayFilter,Filter,RelationshipFilter
class report:
bold_style = xlwt.easyxf('font: bold 1')
no_dp_style = xlwt.easyxf(num_format_str='0')
one_dp_style = xlwt.easyxf(num_format_str='0.0')
two_dp_style = xlwt.easyxf(num_format_str='0.00')
four_dp_style = xlwt.easyxf(num_format_str='0.0000')
percent_style = xlwt.easyxf(num_format_str='0.00%')
percent_no_dp_style = xlwt.easyxf(num_format_str='0%')
def __init__(self, windSpeedBins, turbulenceBins, version="unknown"):
self.version = version
self.windSpeedBins = windSpeedBins
self.turbulenceBins = turbulenceBins
def report(self, path, analysis):
book = xlwt.Workbook()
plotsDir = analysis.config.path.replace(".xml","_PPAnalysisPlots")
analysis.png_plots(plotsDir)
gradient = colour.ColourGradient(-0.1, 0.1, 0.01, book)
sh = book.add_sheet("PowerCurves", cell_overwrite_ok=True)
settingsSheet = book.add_sheet("Settings", cell_overwrite_ok=True)
self.reportSettings(settingsSheet, analysis)
rowsAfterCurves = []
#rowsAfterCurves.append(self.reportPowerCurve(sh, 0, 0, 'uniqueAnalysisId', analysis.specifiedPowerCurve, analysis)) #needs fixing + move to settings sheet
if analysis.specifiedPowerCurve is not None:
if len(analysis.specifiedPowerCurve.powerCurveLevels) != 0:
rowsAfterCurves.append( self.reportPowerCurve(sh, 1, 0, 'Specified', analysis.specifiedPowerCurve, analysis))
if analysis.hasActualPower:
#for name in analysis.residualWindSpeedMatrices:
# residualMatrix = analysis.residualWindSpeedMatrices[name]
#
# if residualMatrix != None:
# self.reportPowerDeviations(book, "ResidualWindSpeed-%s" % name, residualMatrix, gradient)
if analysis.hasShear and analysis.innerMeasuredPowerCurve != None:
rowsAfterCurves.append(self.reportPowerCurve(sh, 1, 5, 'Inner', analysis.innerMeasuredPowerCurve, analysis) )
if analysis.innerTurbulenceMeasuredPowerCurve != None:
rowsAfterCurves.append( self.reportPowerCurve(sh, 1, 10, 'InnerTurbulence', analysis.innerTurbulenceMeasuredPowerCurve, analysis) )
if analysis.hasShear and analysis.outerMeasuredPowerCurve != None:
rowsAfterCurves.append(self.reportPowerCurve(sh, 1, 15, 'Outer', analysis.outerMeasuredPowerCurve, analysis) )
rowsAfterCurves.append( self.reportPowerCurve(sh, 1, 20, 'All', analysis.allMeasuredPowerCurve, analysis) )
if analysis.turbRenormActive:
rowsAfterCurves.append(self.reportPowerCurve(sh, 1, 25, 'TurbulenceRenormalisedPower', analysis.allMeasuredTurbCorrectedPowerCurve, analysis) )
if analysis.specifiedPowerCurve is not None:
rowAfterCurves = max(rowsAfterCurves) + 5
sh.write(rowAfterCurves-2, 0, "Power Curves Interpolated to Specified Bins:", self.bold_style)
specifiedLevels = analysis.specifiedPowerCurve.powerCurveLevels.index
if analysis.hasShear and analysis.innerMeasuredPowerCurve != None:
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, 5, 'Inner', analysis.innerMeasuredPowerCurve, specifiedLevels)
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, 10, 'InnerTurbulence', analysis.innerTurbulenceMeasuredPowerCurve, specifiedLevels)
if analysis.hasShear and analysis.outerMeasuredPowerCurve != None:
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, 15, 'Outer', analysis.outerMeasuredPowerCurve, specifiedLevels)
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, 20, 'All', analysis.allMeasuredPowerCurve, specifiedLevels)
if analysis.turbRenormActive:
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, 25, 'TurbulenceRenormalisedPower', analysis.allMeasuredTurbCorrectedPowerCurve, specifiedLevels)
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, (30 if analysis.turbRenormActive else 25), 'DayTime', analysis.dayTimePowerCurve, specifiedLevels)
self.reportInterpolatedPowerCurve(sh, rowAfterCurves, (35 if analysis.turbRenormActive else 30), 'NightTime', analysis.nightTimePowerCurve, specifiedLevels)
self.reportPowerDeviations(book, "HubPowerDeviations", analysis.hubPowerDeviations, gradient)
#self.reportPowerDeviations(book, "HubPowerDeviationsInnerShear", analysis.hubPowerDeviationsInnerShear, gradient)
if analysis.rewsActive:
self.reportPowerDeviations(book, "REWSPowerDeviations", analysis.rewsPowerDeviations, gradient)
#self.reportPowerDeviationsDifference(book, "Hub-REWS-DevDiff", analysis.hubPowerDeviations, analysis.rewsPowerDeviations, gradient)
self.reportPowerDeviations(book, "REWS Deviation", analysis.rewsMatrix, gradient)
if analysis.hasShear: self.reportPowerDeviations(book, "REWS Deviation Inner Shear", analysis.rewsMatrixInnerShear, gradient)
if analysis.hasShear: self.reportPowerDeviations(book, "REWS Deviation Outer Shear", analysis.rewsMatrixOuterShear, gradient)
#self.reportPowerDeviations(book, "REWSPowerDeviationsInnerShear", analysis.rewsPowerDeviationsInnerShear, gradient)
if analysis.turbRenormActive:
self.reportPowerDeviations(book, "TurbPowerDeviations", analysis.turbPowerDeviations, gradient)
#self.reportPowerDeviationsDifference(book, "Hub-Turb-DevDiff", analysis.hubPowerDeviations, analysis.turbPowerDeviations, gradient)
#self.reportPowerDeviations(book, "TurbPowerDeviationsInnerShear", analysis.turbPowerDeviationsInnerShear, gradient)
if analysis.turbRenormActive and analysis.rewsActive:
self.reportPowerDeviations(book, "CombPowerDeviations", analysis.combPowerDeviations, gradient)
#self.reportPowerDeviationsDifference(book, "Hub-Comb-DevDiff", analysis.hubPowerDeviations, analysis.combPowerDeviations, gradient)
#self.reportPowerDeviations(book, "CombPowerDeviationsInnerShear", analysis.combPowerDeviationsInnerShear, gradient)
if analysis.powerDeviationMatrixActive:
self.reportPowerDeviations(book, "PowerDeviationMatrixDeviations", analysis.powerDeviationMatrixDeviations, gradient)
#self.reportPowerDeviationsDifference(book, "Hub-Turb-DevDiff", analysis.hubPowerDeviations, analysis.turbPowerDeviations, gradient)
#self.reportPowerDeviations(book, "TurbPowerDeviationsInnerShear", analysis.turbPowerDeviationsInnerShear, gradient)
calSheet = book.add_sheet("Calibration", cell_overwrite_ok=True)
self.reportCalibrations(calSheet,analysis)
if analysis.config.nominalWindSpeedDistribution is not None:
sh = book.add_sheet("EnergyAnalysis", cell_overwrite_ok=True)
self.report_aep(sh,analysis)
book.save(path)
def reportCalibrations(self,sh,analysis):
maxRow = 0
startRow = 2
col = -5
for conf,calib in analysis.calibrations:
if 'belowAbove' in calib.calibrationSectorDataframe.columns :
belowAbove = True
else:
belowAbove = False
col+=7
row=startRow
sh.write(row,col,conf.name, self.bold_style)
sh.write(row,col+1,"Method:"+conf.calibrationMethod, self.bold_style)
row += 1
sh.write(row,col,"Bin", self.bold_style)
sh.write(row,col+1,"Slope", self.bold_style)
sh.write(row,col+2,"Offset", self.bold_style)
sh.write(row,col+3,"Count", self.bold_style)
if belowAbove:
sh.write(row,col+4,"Count <= 8m/s", self.bold_style)
sh.write(row,col+5,"Count > 8m/s", self.bold_style)
sh.write(row,col+6,"Valid Sector", self.bold_style)
row+=1
for key in sorted(calib.calibrationSectorDataframe.index):
sh.write(row,col,float(key), self.bold_style)
sh.write(row,col+1,calib.calibrationSectorDataframe['Slope'][key], self.four_dp_style)
sh.write(row,col+2,calib.calibrationSectorDataframe['Offset'][key], self.four_dp_style)
if 'Count' in calib.calibrationSectorDataframe.columns:
sh.write(row,col+3,calib.calibrationSectorDataframe['Count'][key], self.no_dp_style)
if belowAbove:
ba = calib.calibrationSectorDataframe.loc[key,'belowAbove']
sh.write(row,col+4,ba[0], self.no_dp_style)
sh.write(row,col+5,ba[1], self.no_dp_style)
valid = calib.getSectorValidity(key, analysis.timeStepInSeconds)
sh.write(row,col+6, "TRUE" if valid else "FALSE" , self.bold_style)
row += 1
if len(conf.calibrationFilters) > 0:
row += 2
sh.write(row, col, "Calibration Filters", self.bold_style)
row += 1
sh.write(row, col, "Data Column", self.bold_style)
sh.write(row, col+1, "Filter Type", self.bold_style)
sh.write(row, col+2, "Inclusive", self.bold_style)
sh.write(row, col+3, "Filter Value", self.bold_style)
sh.write(row, col+4, "Active", self.bold_style)
row += 1
for filt in conf.calibrationFilters:
if isinstance(filt,TimeOfDayFilter):
sh.write(row, col, "Time Of Day Filter")
sh.write(row, col + 1, str(filt.startTime))
sh.write(row, col + 2, str(filt.endTime))
sh.write(row, col + 3, str(filt.daysOfTheWeek))
sh.write(row, col + 4, str(filt.months))
else:
sh.write(row, col, filt.column)
sh.write(row, col+1, filt.filterType)
sh.write(row, col+2, filt.inclusive)
sh.write(row, col+3, str(filt))
sh.write(row, col+4, filt.active) # always true if in list...
row += 1
def reportSettings(self, sh, analysis):
config = analysis.config
sh.write(0, 1, "PCWG Tool Version Number:")
sh.write(0, 2, self.version)
sh.write(0, 3, xlwt.Formula('HYPERLINK("http://www.pcwg.org";"PCWG Website")'))
row = 3
labelColumn = 1
dataColumn = 2
sh.col(labelColumn).width = 256 * 30
sh.col(dataColumn).width = 256 * 50
sh.col(dataColumn+1).width = 256 * 50
#Corretions
sh.write(row, labelColumn, "Density Correction Active", self.bold_style)
sh.write(row, dataColumn, config.densityCorrectionActive)
row += 1
sh.write(row, labelColumn, "REWS Correction Active", self.bold_style)
sh.write(row, dataColumn, config.rewsActive)
row += 1
sh.write(row, labelColumn, "Turbulence Correction Active", self.bold_style)
sh.write(row, dataColumn, config.turbRenormActive)
row += 1
#General Settings
row += 1
sh.write(row, labelColumn, "Time Step In Seconds", self.bold_style)
sh.write(row, dataColumn, analysis.timeStepInSeconds)
row += 1
sh.write(row, labelColumn, "Power Curve Minimum Count", self.bold_style)
sh.write(row, dataColumn, config.powerCurveMinimumCount)
row += 1
sh.write(row, labelColumn, "Rated Power", self.bold_style)
sh.write(row, dataColumn, config.ratedPower)
row += 1
sh.write(row, labelColumn, "Baseline Mode", self.bold_style)
sh.write(row, dataColumn, config.baseLineMode)
row += 1
sh.write(row, labelColumn, "Filter Mode", self.bold_style)
sh.write(row, dataColumn, config.filterMode)
row += 1
sh.write(row, labelColumn, "Power Curve Mode", self.bold_style)
sh.write(row, dataColumn, config.powerCurveMode)
row += 1
#Inner Range
row += 1
sh.write(row, labelColumn, "Inner Range", self.bold_style)
row += 1
sh.write(row, labelColumn, "Lower Turbulence", self.bold_style)
sh.write(row, dataColumn, config.innerRangeLowerTurbulence)
row += 1
sh.write(row, labelColumn, "Upper Turbulence", self.bold_style)
sh.write(row, dataColumn, config.innerRangeUpperTurbulence)
row += 1
sh.write(row, labelColumn, "Lower Shear", self.bold_style)
sh.write(row, dataColumn, config.innerRangeLowerShear)
row += 1
sh.write(row, labelColumn, "Upper Shear", self.bold_style)
sh.write(row, dataColumn, config.innerRangeUpperShear)
row += 1
#Turbine
row += 1
sh.write(row, labelColumn, "Turbine", self.bold_style)
row += 1
sh.write(row, labelColumn, "HubHeight", self.bold_style)
sh.write(row, dataColumn, config.hubHeight)
row += 1
sh.write(row, labelColumn, "Diameter", self.bold_style)
sh.write(row, dataColumn, config.diameter)
row += 1
sh.write(row, labelColumn, "Cut In Wind Speed", self.bold_style)
sh.write(row, dataColumn, config.cutInWindSpeed)
row += 1
sh.write(row, labelColumn, "Cut Out Wind Speed", self.bold_style)
sh.write(row, dataColumn, config.cutOutWindSpeed)
row += 1
sh.write(row, labelColumn, "Rated Power", self.bold_style)
sh.write(row, dataColumn, config.ratedPower)
row += 1
sh.write(row, labelColumn, "Specified Power Curve", self.bold_style)
sh.write(row, dataColumn, config.specifiedPowerCurve)
row += 1
#datasets
row += 1
sh.write(row, labelColumn, "Datasets", self.bold_style)
row += 2
for datasetConfig in analysis.datasetConfigs:
sh.write(row, labelColumn, "Name", self.bold_style)
sh.write(row, dataColumn, datasetConfig.name)
row += 1
sh.write(row, labelColumn, "Path", self.bold_style)
sh.write(row, dataColumn, datasetConfig.path)
row += 1
sh.write(row, labelColumn, "Start Date", self.bold_style)
sh.write(row, dataColumn, str(datasetConfig.startDate))
row += 1
sh.write(row, labelColumn, "End Date", self.bold_style)
sh.write(row, dataColumn, str(datasetConfig.endDate))
row += 1
sh.write(row, labelColumn, "Hub Wind Speed Mode", self.bold_style)
sh.write(row, dataColumn, datasetConfig.hubWindSpeedMode)
row += 1
sh.write(row, labelColumn, "Density Mode", self.bold_style)
sh.write(row, dataColumn, datasetConfig.densityMode)
row += 2
sh.write(row, labelColumn, "REWS Defined", self.bold_style)
sh.write(row, dataColumn, datasetConfig.rewsDefined)
row += 1
sh.write(row, labelColumn, "Rotor Mode", self.bold_style)
sh.write(row, dataColumn, datasetConfig.rotorMode)
row += 1
sh.write(row, labelColumn, "Hub Mode", self.bold_style)
sh.write(row, dataColumn, datasetConfig.hubMode)
row += 1
sh.write(row, labelColumn, "Number of Rotor Levels", self.bold_style)
sh.write(row, dataColumn, datasetConfig.numberOfRotorLevels)
row += 2
sh.write(row, labelColumn, "Measurements", self.bold_style)
row += 1
sh.write(row, labelColumn, "Input Time Series Path", self.bold_style)
sh.write(row, dataColumn, datasetConfig.inputTimeSeriesPath)
row += 1
sh.write(row, labelColumn, "Date Format", self.bold_style)
sh.write(row, dataColumn, datasetConfig.dateFormat)
row += 1
sh.write(row, labelColumn, "Time Step In Seconds", self.bold_style)
sh.write(row, dataColumn, datasetConfig.timeStepInSeconds)
row += 1
sh.write(row, labelColumn, "Time Stamp", self.bold_style)
sh.write(row, dataColumn, datasetConfig.timeStamp)
row += 1
sh.write(row, labelColumn, "Bad Data Value", self.bold_style)
sh.write(row, dataColumn, datasetConfig.badData)
row += 1
sh.write(row, labelColumn, "Header Rows", self.bold_style)
sh.write(row, dataColumn, datasetConfig.headerRows)
row += 1
sh.write(row, labelColumn, "Turbine Location Wind Speed", self.bold_style)
sh.write(row, dataColumn, datasetConfig.turbineLocationWindSpeed)
row += 1
sh.write(row, labelColumn, "Hub Wind Speed", self.bold_style)
sh.write(row, dataColumn, datasetConfig.hubWindSpeed)
row += 1
sh.write(row, labelColumn, "Hub Turbulence", self.bold_style)
sh.write(row, dataColumn, datasetConfig.hubTurbulence)
row += 1
sh.write(row, labelColumn, "Reference Wind Speed", self.bold_style)
sh.write(row, dataColumn, datasetConfig.referenceWindSpeed)
row += 1
sh.write(row, labelColumn, "Reference Wind Speed Std Dev", self.bold_style)
sh.write(row, dataColumn, datasetConfig.referenceWindSpeedStdDev)
row += 1
sh.write(row, labelColumn, "Reference Wind Direction", self.bold_style)
sh.write(row, dataColumn, datasetConfig.referenceWindDirection)
row += 1
sh.write(row, labelColumn, "Reference Wind Direction Offset", self.bold_style)
sh.write(row, dataColumn, datasetConfig.referenceWindDirectionOffset)
row += 1
sh.write(row, labelColumn, "Density", self.bold_style)
sh.write(row, dataColumn, datasetConfig.density)
row += 1
sh.write(row, labelColumn, "Temperature", self.bold_style)
sh.write(row, dataColumn, datasetConfig.temperature)
row += 1
sh.write(row, labelColumn, "Pressure", self.bold_style)
sh.write(row, dataColumn, datasetConfig.pressure)
row += 1
if 'ReferenceLocation' in datasetConfig.shearMeasurements.keys() and 'TurbineLocation' in datasetConfig.shearMeasurements.keys():
row = self.writeShear(sh,labelColumn,dataColumn,row,datasetConfig.shearMeasurements['ReferenceLocation'],'Reference Location ')
row = self.writeShear(sh,labelColumn,dataColumn,row,datasetConfig.shearMeasurements['TurbineLocation'],'Turbine Location ')
else:
row = self.writeShear(sh,labelColumn,dataColumn,row,datasetConfig.shearMeasurements)
sh.write(row, labelColumn, "Power", self.bold_style)
sh.write(row, dataColumn, datasetConfig.power)
row += 2
sh.write(row, labelColumn, "Profile Levels", self.bold_style)
row += 1
sh.write(row, labelColumn, "Height", self.bold_style)
sh.write(row, dataColumn, "Speed", self.bold_style)
sh.write(row, dataColumn + 1, "Direction", self.bold_style)
row += 1
for height in sorted(datasetConfig.windSpeedLevels):
sh.write(row, labelColumn, height)
sh.write(row, dataColumn, datasetConfig.windSpeedLevels[height])
if height in datasetConfig.windDirectionLevels:
sh.write(row, dataColumn + 1, datasetConfig.windDirectionLevels[height])
row += 1
sh.write(row, labelColumn, "Filters", self.bold_style)
row += 1
sh.write(row, labelColumn, "Data Column", self.bold_style)
sh.write(row, dataColumn, "Filter Type", self.bold_style)
sh.write(row, dataColumn + 1, "Inclusive", self.bold_style)
sh.write(row, dataColumn + 2, "Filter Value", self.bold_style)
sh.write(row, dataColumn + 3, "Active", self.bold_style)
row += 1
for filter in datasetConfig.filters:
if isinstance(filter,TimeOfDayFilter):
sh.write(row, labelColumn, "Time Of Day Filter")
sh.write(row, dataColumn, str(filter.startTime))
sh.write(row, dataColumn + 1, str(filter.endTime))
sh.write(row, dataColumn + 2, str(filter.daysOfTheWeek))
sh.write(row, dataColumn + 3, str(filter.months))
else:
sh.write(row, labelColumn, filter.column)
sh.write(row, dataColumn, filter.filterType)
sh.write(row, dataColumn + 1, filter.inclusive)
sh.write(row, dataColumn + 2, str(filter))
sh.write(row, dataColumn + 3, "True") # always true if in list...
row += 1
def writeShear(self,sh,labelColumn,dataColumn,row,shearDict,prefix=""):
for i, meas in enumerate(shearDict.keys()):
sh.write(row, labelColumn, prefix+"Shear Measurement " + str(i+1), self.bold_style)
sh.write(row, dataColumn, shearDict[meas])
row += 1
sh.write(row, labelColumn, prefix+"Shear Measurement {0} Height ".format(i+1), self.bold_style)
sh.write(row, dataColumn, str(meas))
row += 1
return row
def reportPowerCurve(self, sh, rowOffset, columnOffset, name, powerCurve, analysis):
powerCurveLevels = powerCurve.powerCurveLevels.copy()
if powerCurve.inputHubWindSpeed is None:
powerCurveLevels['Specified Wind Speed'] = powerCurveLevels.index
windSpeedCol = 'Specified Wind Speed'
else:
windSpeedCol = analysis.inputHubWindSpeed #'Input Hub Wind Speed'
powerCurveLevels = powerCurveLevels.sort(windSpeedCol)
sh.write(rowOffset, columnOffset + 2, name, self.bold_style)
sh.col(columnOffset + 1).width = 256 * 15
sh.col(columnOffset + 2).width = 256 * 15
sh.col(columnOffset + 3).width = 256 * 15
if powerCurve.inputHubWindSpeed is None:
sh.col(columnOffset + 5).width = 256 * 5
else:
sh.col(columnOffset + 4).width = 256 * 15
sh.col(columnOffset + 5).width = 256 * 5
rowOrders = { 'Data Count':4,
analysis.actualPower:2, analysis.hubTurbulence:3, analysis.inputHubWindSpeed:1,
'Specified Power':2,'Specified Turbulence':3, 'Specified Wind Speed':1,
analysis.measuredTurbulencePower:2}
styles = { 'Data Count':self.no_dp_style, analysis.inputHubWindSpeed:self.two_dp_style,
analysis.actualPower: self.no_dp_style, analysis.hubTurbulence:self.percent_no_dp_style,
'Specified Power':self.no_dp_style,'Specified Turbulence':self.percent_no_dp_style,
'Specified Wind Speed':self.two_dp_style,analysis.measuredTurbulencePower:self.no_dp_style}
for colname in powerCurveLevels.columns:
if colname in styles.keys():
sh.write(rowOffset + 1, columnOffset + rowOrders[colname], colname, self.bold_style)
countRow = 1
for windSpeed in powerCurveLevels.index:
for colname in powerCurveLevels.columns:
if colname in styles.keys():
sh.write(rowOffset + countRow + 1, columnOffset + rowOrders[colname], powerCurveLevels[colname][windSpeed], styles[colname])
countRow += 1
if hasattr(powerCurve, 'zeroTurbulencePowerCurve'):
countRow += 3
try:
pc = powerCurve.zeroTurbulencePowerCurve.dfPowerLevels
sh.write(rowOffset + countRow, columnOffset + 2, name + ' Zero TI Power Curve', self.bold_style)
countRow += 1
sh.write(rowOffset + countRow, columnOffset + 1, 'Wind Speed', self.bold_style)
sh.write(rowOffset + countRow, columnOffset + 2, 'Power', self.bold_style)
for ws in pc.index:
sh.write(rowOffset + countRow + 1, columnOffset + 1, ws, styles['Specified Wind Speed'])
sh.write(rowOffset + countRow + 1, columnOffset + 2, pc.loc[ws, 'Power'], styles['Specified Wind Speed'])
countRow += 1
except:
sh.write(rowOffset + countRow, columnOffset + 2,'Zero TI Power Curve not calculated successfully for %s power curve.' % name)
countRow+=1
else:
countRow += 3
print "Not reporting zero TI power curve for %s as it is not defined." % (name)
sh.write(rowOffset + countRow, columnOffset + 2,"Not reporting zero TI power curve for %s as it is not defined." % (name))
countRow+=1
return countRow
def reportInterpolatedPowerCurve(self, sh, rowOffset, columnOffset, name, powerCurve, levels):
sh.write(rowOffset, columnOffset + 2, name, self.bold_style)
sh.write(rowOffset + 1, columnOffset + 1, "Wind Speed", self.bold_style)
sh.write(rowOffset + 1, columnOffset + 2, "Power", self.bold_style)
sh.write(rowOffset + 1, columnOffset + 3, "Turbulence", self.bold_style)
count = 1
for windSpeed in sorted(levels):
sh.write(rowOffset + count + 1, columnOffset + 1, windSpeed, self.two_dp_style)
sh.write(rowOffset + count + 1, columnOffset + 2, float(powerCurve.powerFunction(windSpeed)), self.no_dp_style)
sh.write(rowOffset + count + 1, columnOffset + 3, float(powerCurve.turbulenceFunction(windSpeed)), self.percent_no_dp_style)
count += 1
def reportPowerDeviations(self, book, sheetName, powerDeviations, gradient):
sh = book.add_sheet(sheetName, cell_overwrite_ok=True)
sh.write_merge(1,self.turbulenceBins.numberOfBins,0,0,"Turbulence Intensity", xlwt.easyxf('align: rotation 90'))
sh.write_merge(self.turbulenceBins.numberOfBins+2,self.turbulenceBins.numberOfBins+2,2,self.windSpeedBins.numberOfBins+1, "Wind Speed", self.bold_style)
for i in range(self.windSpeedBins.numberOfBins):
sh.col(i + 2).width = 256 * 5
for j in range(self.turbulenceBins.numberOfBins):
turbulence = self.turbulenceBins.binCenterByIndex(j)
row = self.turbulenceBins.numberOfBins - j
sh.write(row, 1, turbulence, self.percent_no_dp_style)
for i in range(self.windSpeedBins.numberOfBins):
windSpeed = self.windSpeedBins.binCenterByIndex(i)
col = i + 2
if j == 0:
sh.write(self.turbulenceBins.numberOfBins+1, col, windSpeed, self.one_dp_style)
if windSpeed in powerDeviations.matrix:
if turbulence in powerDeviations.matrix[windSpeed]:
deviation = powerDeviations.matrix[windSpeed][turbulence]
if not np.isnan(deviation):
sh.write(row, col, deviation, gradient.getStyle(deviation))
def reportPowerDeviationsDifference(self, book, sheetName, deviationsA, deviationsB, gradient):
sh = book.add_sheet(sheetName, cell_overwrite_ok=True)
for i in range(self.windSpeedBins.numberOfBins):
sh.col(i + 1).width = 256 * 5
for j in range(self.turbulenceBins.numberOfBins):
turbulence = self.turbulenceBins.binCenterByIndex(j)
row = self.turbulenceBins.numberOfBins - j - 1
sh.write(row, 0, turbulence, self.percent_no_dp_style)
for i in range(self.windSpeedBins.numberOfBins):
windSpeed = self.windSpeedBins.binCenterByIndex(i)
col = i + 1
if j == 0: sh.write(self.turbulenceBins.numberOfBins, col, windSpeed, self.one_dp_style)
if windSpeed in deviationsA.matrix:
if turbulence in deviationsA.matrix[windSpeed]:
deviationA = deviationsA.matrix[windSpeed][turbulence]
deviationB = deviationsB.matrix[windSpeed][turbulence]
if not np.isnan(deviationA) and not np.isnan(deviationB):
diff = abs(deviationA) - abs(deviationB)
sh.write(row, col, diff, gradient.getStyle(diff))
def report_aep(self,sh,analysis):
sh # get tables in PP report form
# Summary of EY acceptance test results:
hrsMultiplier = (analysis.timeStepInSeconds/3600.0)
row = 2
tall_style = xlwt.easyxf('font:height 360;') # 18pt
first_row = sh.row(row)
first_row.set_style(tall_style)
sh.write(row,2, "Reference Turbine", self.bold_style)
sh.write(row,3, "Measured (LCB) Pct of Warranted Annual Energy Yield (%)", self.bold_style)
sh.write(row,4, "Extrapolated Pct of Warranted Annual Energy Yield (%)", self.bold_style)
sh.write(row,5, "Last Complete Bin (LCB)", self.bold_style)
sh.write(row,6, "Direction Sectors Analysed (degrees)", self.bold_style)
sh.write(row,7, "Measured Hours", self.bold_style)
sh.write(row,8, "Annual Energy Yield Uncertainty as a percentage of the Warranted Annual Yield (%)", self.bold_style)
row += 1
sh.write(row,2, analysis.config.Name)
sh.write(row,3, analysis.aepCalcLCB.AEP*100, self.two_dp_style)
sh.write(row,4, analysis.aepCalc.AEP*100, self.two_dp_style)
sh.write(row,5, analysis.aepCalcLCB.lcb, self.two_dp_style)
sh.write(row,6, "{mi} - {ma}".format(mi=analysis.dataFrame[analysis.windDirection].min(),ma=analysis.dataFrame[analysis.windDirection].max()))
timeCovered = analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.dataCount].sum() * hrsMultiplier
sh.write(row,7, timeCovered, self.two_dp_style)
sh.write(row,8, "NOT YET CALCULATED")
row += 3
if hasattr(analysis.specifiedPowerCurve,"referenceDensity"):
sh.write_merge(row,row,2,6, "Measured Power Curve\n Reference Air Density = {ref} kg/m^3".format(ref=analysis.specifiedPowerCurve.referenceDensity), self.bold_style)
sh.write(row,7, "Category A Uncertainty", self.bold_style)
sh.write(row,8, "Category B Uncertainty", self.bold_style)
sh.write(row,9, "Category C Uncertainty", self.bold_style)
row += 1
sh.write(row,2, "Bin No", self.bold_style)
sh.write(row,3, "Hub Height Wind Speed", self.bold_style)
sh.write(row,4, "Power Output", self.bold_style)
sh.write(row,5, "Cp", self.bold_style)
sh.write(row,6, "Qty 10-Min Data", self.bold_style)
sh.write(row,7, "Standard Uncertainty", self.bold_style)
sh.write(row,8, "Standard Uncertainty", self.bold_style)
sh.write(row,9, "Standard Uncertainty", self.bold_style)
row += 1
sh.write(row,2, "I", self.bold_style)
sh.write(row,3, "Vi", self.bold_style)
sh.write(row,4, "Pi", self.bold_style)
sh.write(row,6, "Ni", self.bold_style)
sh.write(row,7, "si", self.bold_style)
sh.write(row,8, "ui", self.bold_style)
sh.write(row,9, "uc,I", self.bold_style)
row += 1
sh.write(row,3, "[m/s]", self.bold_style)
sh.write(row,4, "[kW]", self.bold_style)
sh.write(row,7, "[kW]", self.bold_style)
sh.write(row,8, "[kW]", self.bold_style)
sh.write(row,9, "[kW]", self.bold_style)
for binNo,ws in enumerate(analysis.allMeasuredPowerCurve.powerCurveLevels .index):
if ws <= analysis.aepCalcLCB.lcb and analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.dataCount][ws] > 0:
row+=1
sh.write(row,2, binNo+1, self.no_dp_style)
sh.write(row,3, analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.inputHubWindSpeed][ws], self.two_dp_style)
sh.write(row,4, analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.actualPower][ws], self.two_dp_style)
if analysis.powerCoeff in analysis.allMeasuredPowerCurve.powerCurveLevels.columns:
sh.write(row,5, analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.powerCoeff][ws], self.two_dp_style)
else:
sh.write(row,5, "-", self.no_dp_style)
datCount = analysis.allMeasuredPowerCurve.powerCurveLevels[analysis.dataCount][ws]
sh.write(row,6, datCount, self.no_dp_style)
sh.write(row,7, "-", self.no_dp_style)
sh.write(row,8, "~", self.no_dp_style)
sh.write(row,9, "-", self.no_dp_style)
row+=2
sh.write_merge(row,row,2,5, "More than 180 hours of data:", self.bold_style)
sh.write(row,6, "TRUE" if timeCovered > 180 else "FALSE")
sh.write(row,7, "({0} Hours)".format(round(timeCovered,2)) , self.two_dp_style)
row+=1
if hasattr(analysis,"windSpeedAt85pctX1pnt5"):
sh.write_merge(row,row,2,5, "Largest WindSpeed > {0}:".format(round(analysis.windSpeedAt85pctX1pnt5,2)), self.bold_style)
sh.write(row,6, "TRUE" if analysis.aepCalcLCB.lcb > analysis.windSpeedAt85pctX1pnt5 else "FALSE")
sh.write(row,7, "Threshold is 1.5*([email protected]*RatedPower)")
row+=1
sh.write_merge(row,row,2,5, "AEP Extrap. within 1% of AEP LCB:",self.bold_style)
ans = abs(1-(analysis.aepCalc.AEP/analysis.aepCalcLCB.AEP)) < 0.01
sh.write(row,6, "TRUE" if ans else "FALSE")
if not ans:
sh.write(row,8, analysis.aepCalc.AEP)
sh.write(row,9, analysis.aepCalcLCB.AEP)
if analysis.turbRenormActive:
row += 2
sh.write(row,3, "Turbulence Corrected Measured (LCB) Pct of Warranted Annual Energy Yield (%)", self.bold_style)
sh.write(row,4, "Turbulence Corrected Extrapolated Pct of Warranted Annual Energy Yield (%)", self.bold_style)
sh.write(row+1,3, analysis.turbCorrectedAepCalcLCB.AEP*100, self.two_dp_style)
sh.write(row+1,4, analysis.turbCorrectedAepCalc.AEP*100, self.two_dp_style)
row+=2
sh.write_merge(row,row,3,10,"AEP Distribution",self.bold_style)
row+=1
sh.write_merge(row,row,3,6, "Reference", self.bold_style)
sh.write_merge(row,row,7,10, "Measured", self.bold_style)
row+=1
sh.write(row,2,"Wind Speed",self.bold_style)
sh.write(row,3,'Reference Freq',self.bold_style)
sh.write(row,4,'Reference Power',self.bold_style)
sh.write(row,5,'Reference Power (Resampled)',self.bold_style)
sh.write(row,6,"Reference Energy",self.bold_style)
sh.write(row,7,'Measured Freq',self.bold_style)
sh.write(row,8,'Measured Power',self.bold_style)
sh.write(row,9,'Measured Power (Resampled)',self.bold_style)
sh.write(row,10,"Measured Energy",self.bold_style)
for binNum in analysis.aepCalc.energy_distribution.index:
row+=1
sh.write(row,2,binNum,self.two_dp_style)
sh.write(row,3,analysis.aepCalc.energy_distribution.loc[binNum,"Reference_Freq"] ,self.four_dp_style)
sh.write(row,4,analysis.aepCalc.energy_distribution.loc[binNum,"Reference_Upper"] ,self.four_dp_style)
sh.write(row,5,analysis.aepCalc.energy_distribution.loc[binNum,"Reference_Power"] ,self.four_dp_style)
sh.write(row,6,analysis.aepCalc.energy_distribution.loc[binNum,"Reference_Energy"] ,self.four_dp_style)
sh.write(row,7,analysis.aepCalc.energy_distribution.loc[binNum,"Measured_Freq"] ,self.four_dp_style)
sh.write(row,8,analysis.aepCalc.energy_distribution.loc[binNum,"Measured_Upper"] ,self.four_dp_style)
sh.write(row,9,analysis.aepCalc.energy_distribution.loc[binNum,"Measured_Power"] ,self.four_dp_style)
sh.write(row,10,analysis.aepCalc.energy_distribution.loc[binNum,"Measured_Energy"] ,self.four_dp_style)
row+=3
def printPowerCurves(self):
print("Wind Speed\tSpecified\tInner\tOuter\tAll")
for i in range(self.windSpeedBins.numberOfBins):
windSpeed = self.windSpeedBins.binCenterByIndex(i)
text = "%0.4f\t" % windSpeed
if windSpeed in self.specifiedPowerCurve.powerCurveLevels:
text += "%0.4f\t" % self.specifiedPowerCurve.powerCurveLevels[windSpeed]
else:
text += "\t"
if windSpeed in self.innerMeasuredPowerCurve.powerCurveLevels:
text += "%0.4f\t" % self.innerMeasuredPowerCurve.powerCurveLevels[windSpeed]
else:
text += "\t"
if windSpeed in self.outerMeasuredPowerCurve.powerCurveLevels:
text += "%0.4f\t" % self.outerMeasuredPowerCurve.powerCurveLevels[windSpeed]
else:
text += "\t"
if windSpeed in self.allMeasuredPowerCurve.powerCurveLevels:
text += "%0.4f\t" % self.allMeasuredPowerCurve.powerCurveLevels[windSpeed]
else:
text += "\t"
print(text)
def printPowerDeviationMatrix(self):
for j in reversed(range(self.turbulenceBins.numberOfBins)):
turbulence = self.turbulenceBins.binCenterByIndex(j)
text = "%f\t" % turbulence
for i in range(self.windSpeedBins.numberOfBins):
windSpeed = self.windSpeedBins.binCenterByIndex(i)
if windSpeed in self.powerDeviations:
if turbulence in self.powerDeviations[windSpeed]:
text += "%f\t" % self.powerDeviations[windSpeed][turbulence]
else:
text += "\t"
else:
text += "\t"
print text
text = "\t"
for i in range(self.windSpeedBins.numberOfBins):
text += "%f\t" % self.windSpeedBins.binCenterByIndex(i)
print text
def report_scatter_metric(self,sh,analysis,row, turbRenormActive):
row += 5
sh.write(row, 1, "Scatter Metric Before TI Renormalisation:", self.bold_style)
sh.write(row+1, 1, analysis.powerCurveScatterMetric, self.percent_style)
if turbRenormActive:
sh.write(row, 2, "Scatter Metric After TI Renormalisation:", self.bold_style)
sh.write(row+1, 2, analysis.powerCurveScatterMetricAfterTiRenorm , self.percent_style)
return row + 3
class AnonReport(report):
def __init__(self,targetPowerCurve,wind_bins, turbulence_bins, version="unknown"):
self.version = version
self.targetPowerCurve = targetPowerCurve
self.turbulenceBins = turbulence_bins
self.normalisedWindSpeedBins = wind_bins
def report(self, path, analysis, powerDeviationMatrix = True, scatterMetric=True):
self.analysis = analysis
book = xlwt.Workbook()
sh = book.add_sheet("Anonymous Report", cell_overwrite_ok=True)
sh.write(0, 0, "PCWG Tool Version Number:")
sh.write(0, 1, self.version)
sh.write(0, 2, xlwt.Formula('HYPERLINK("http://www.pcwg.org";"PCWG Website")'))
row = 1
if powerDeviationMatrix:
row = self.report_power_deviation_matrix(sh,analysis,book)
if scatterMetric:
row = self.report_scatter_metric(sh,analysis,row, analysis.turbRenormActive)
book.save(path)
def report_power_deviation_matrix(self,sh,analysis,book):
gradient = colour.ColourGradient(-0.1, 0.1, 0.01, book)
pcStart = 2
pcEnd = pcStart + self.normalisedWindSpeedBins.numberOfBins + 5
deviationMatrixStart = pcEnd + 5
row= []
row.append( self.reportPowerCurve(sh, pcStart, 0, self.targetPowerCurve.name + ' Power Curve', self.targetPowerCurve) )
row.append( self.reportPowerDeviations(sh,deviationMatrixStart, analysis.normalisedHubPowerDeviations, gradient, "Hub Power"))
if analysis.normalisedTurbPowerDeviations != None:
deviationMatrixStart += (self.turbulenceBins.numberOfBins + 5) * 2
row.append(self.reportPowerDeviations(sh,deviationMatrixStart, analysis.normalisedTurbPowerDeviations, gradient, "Turb Corrected Power") )
return max(row)
def reportPowerDeviations(self,sh, startRow, powerDeviations, gradient, name):
countShift = self.turbulenceBins.numberOfBins + 5
sh.write(startRow, 1, "Deviations Matrix (%s)" % name, self.bold_style)
sh.write(startRow + countShift, 1, "Data Count Matrix (%s)" % name, self.bold_style)
for j in range(self.turbulenceBins.numberOfBins):
turbulence = self.turbulenceBins.binCenterByIndex(j)
row = startRow + self.turbulenceBins.numberOfBins - j
countRow = row + countShift
sh.write(row, 0, turbulence, self.percent_no_dp_style)
sh.write(countRow, 0, turbulence, self.percent_no_dp_style)
for i in range(self.normalisedWindSpeedBins.numberOfBins):
windSpeed = self.normalisedWindSpeedBins.binCenterByIndex(i)
col = i + 1
if j == 0:
sh.write(row + 1, col, windSpeed, self.two_dp_style)
sh.write(countRow + 1, col, windSpeed, self.two_dp_style)
if windSpeed in powerDeviations.matrix:
if turbulence in powerDeviations.matrix[windSpeed]:
deviation = powerDeviations.matrix[windSpeed][turbulence]
count = int(powerDeviations.count[windSpeed][turbulence])
if not np.isnan(deviation):
sh.write(row, col, deviation, gradient.getStyle(deviation))
sh.write(countRow, col, count, self.no_dp_style)
return startRow + self.turbulenceBins.numberOfBins + countShift
def reportPowerCurve(self, sh, rowOffset, columnOffset, name, powerCurve):
sh.write(rowOffset, columnOffset + 2, name, self.bold_style)
rowOrders = { 'Data Count':4, 'Normalised Wind Speed':1,'Normalised Power':2, 'Turbulence':3}
for colname in rowOrders.keys():
sh.write(rowOffset + 1, columnOffset + rowOrders[colname], colname, self.bold_style)
countRow = 1
for i in range(self.normalisedWindSpeedBins.numberOfBins):
windSpeed = self.normalisedWindSpeedBins.binCenterByIndex(i)
mask = self.analysis.dataFrame['Normalised WS Bin'] == windSpeed
dataCount = self.analysis.dataFrame[mask]['Normalised WS Bin'].count()
absoluteWindSpeed = windSpeed * self.analysis.observedRatedWindSpeed
sh.write(rowOffset + countRow + 1, columnOffset + 1, windSpeed, self.two_dp_style)
sh.write(rowOffset + countRow + 1, columnOffset + 4,
dataCount, self.no_dp_style)
if dataCount > 0:
sh.write(rowOffset + countRow + 1, columnOffset + 2,
float(powerCurve.powerFunction(absoluteWindSpeed))/self.analysis.observedRatedPower, self.two_dp_style)
sh.write(rowOffset + countRow + 1, columnOffset + 3,
float(powerCurve.turbulenceFunction(absoluteWindSpeed)), self.percent_no_dp_style)
countRow += 1
return countRow