def virr(self, Pac, timestamp = None, weatherData = None):
girr = 1000.
gPac = self.Pac(girr)
if Pac > gPac:
print "WARNING: Edge effect?"
iteration = 2
while round(Pac,-1) != round(gPac,-1):
#todo: improve non linear search routine
tModule = irradiation.moduleTemp(girr, weatherData)
gPac = self.Pac(girr, tModule)
if gPac <= Pac:
girr = girr + 1000./(iteration**2)
else:
girr = girr - 1000./(iteration**2)
iteration += 1
if iteration > 25:
raise Exception('too many iterations')
solarAz, solarAlt = irradiation.ephemSun(self.place,timestamp)
irrRec = irradiation.irrGuess(timestamp,girr, solarAlt, solarAz, self.tilt, self.azimuth)
irrRec['girr'] = round(girr,0)
return irrRec
def now(self, timestamp = None, weatherData = None, model = 'STC'):
#Preditive
if timestamp is None:
timestamp = datetime.datetime.now() - datetime.timedelta(hours=self.tz)
if model != 'STC' and weatherData == None:
weatherData = forecast.data(self.place)['currently']
if model == 'CC':
record = irradiation.blave(timestamp,self.place,self.tilt,
self.azimuth, cloudCover=weatherData['cloudCover'])
else:
record = irradiation.blave(timestamp,self.place,self.tilt,
self.azimuth)
irradiance = irradiation.irradiation(record, self.place, self.horizon,\
t = self.tilt, array_azimuth = self.azimuth, model = 'p9')
if model == 'STC':
return self.Pac(irradiance)
else:
tModule = irradiation.moduleTemp(irradiance, weatherData)
return self.Pac(irradiance, tModule)
def forecastOutput(self, daylightSavings = False, source = None, hours = 24):
#def powerToday(self, daylightSavings = False, source = None, hours = 24):
#default is forecast with solpy.blave
#this is ugly code... sorry
d = datetime.date.today()
endTimeUTC = datetime.datetime(d.year,d.month,d.day)\
+ datetime.timedelta(hours=hours-self.tz)
if source == 'noaa':
wseries = noaa.herpDerpInterp(self.place)
ts = []
irr = []
for i in wseries:
if i['utc_datetime'] > endTimeUTC:
break
rec = irradiation.blave(i['utc_datetime'],self.place, \
self.tilt, self.azimuth, cloudCover = i['cloudCover'])
irradiance = irradiation.irradiation(rec,self.place,\
t=self.tilt, array_azimuth=self.azimuth, model='p90')
tModule = irradiation.moduleTemp(irradiance, i)
irr.append(self.Pac(irradiance,tModule))
ts.append(i['utc_datetime'])
rs = resultSet()
rs.values = irr
rs.timeseries = ts
return rs
if source == 'forecast':
wseries = forecast.hourly(self.place)
ts = []
irr = []
for i in wseries:
if i['utc_datetime'] > endTimeUTC:
break
irradiance = irradiation.irradiation(i,self.place,\
t=self.tilt, array_azimuth=self.azimuth, model='p90')
tModule = irradiation.moduleTemp(irradiance, i)
irr.append(self.Pac(irradiance,tModule))
ts.append(i['utc_datetime'])
rs = resultSet()
rs.values = irr
rs.timeseries = ts
return rs
if source =='blave':
wseries = forecast.hourly(self.place)
ts = []
irr = []
for i in wseries:
if i['utc_datetime'] > endTimeUTC:
break
rec = irradiation.blave(i['utc_datetime'],self.place, \
self.tilt, self.azimuth, cloudCover = i['cloudCover'])
irradiance = irradiation.irradiation(rec,self.place,\
t=self.tilt, array_azimuth=self.azimuth, model='p90')
tModule = irradiation.moduleTemp(irradiance, i)
irr.append(self.Pac(irradiance,tModule))
ts.append(i['utc_datetime'])
rs = resultSet()
rs.values = irr
rs.timeseries = ts
return rs
else:
#blave
stime = datetime.datetime.today().timetuple()
tzOff = datetime.timedelta(hours=self.tz)
if daylightSavings:
tzOff += datetime.timedelta(hours=1)
else:
tzOff += datetime.timedelta(hours=0)
initTime = datetime.datetime(stime[0],stime[1],stime[2]) - tzOff
timeseries = []
values = []
ts = initTime
while ts < datetime.datetime.now()-tzOff:
ts += datetime.timedelta(minutes=5)
currentPower = self.now(ts)
values.append(currentPower)
timeseries.append(ts)
rs = resultSet()
rs.values = values
rs.timeseries = timeseries
return rs
