var owd_email = "info@openwinddata.com"

var site_data = {} 
site_data.c_p = "4.81";
site_data.v_ave = "2.72";
site_data.prevailing_wind_dir = "SW";
site_data.lat = "50.7848";
site_data.lon = "6.0847";
site_data.gmap_link = "http://www.google.com/maps/place/50.7848,6.0847";

var meas_height = {} 
meas_height.year_start = []
meas_height.year_end = []
meas_height.h_m = 10

var try_production = {} 
try_production.turbine = ["S", "M", "L"]
try_production.c_p = [2.82, 4.25, 4.81]
try_production.AEP = ["2,468", "558,032", "1,458,813"]
try_production.P_R = [10, 1500, 3460]

var try_v_ave = {} 
try_v_ave.type = "try_"
try_v_ave.turbine = ["S", "M", "L"]
try_v_ave.h_h = [30, 80, 100]
try_v_ave.year = [1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012]
try_v_ave.h_m = [2.59, 2.41, 2.41, 2.91, 2.94, 2.96, 2.74, 2.76, 2.44, 2.66, 2.51, 2.64, 2.71, 2.92, 2.74, 2.67, 2.97, 3.08]
try_v_ave.S = [3.12, 2.9, 2.91, 3.51, 3.55, 3.57, 3.31, 3.33, 2.94, 3.21, 3.03, 3.19, 3.27, 3.52, 3.31, 3.22, 3.59, 3.72]
try_v_ave.M = [3.6, 3.35, 3.36, 4.05, 4.09, 4.12, 3.82, 3.85, 3.39, 3.71, 3.49, 3.67, 3.78, 4.06, 3.81, 3.72, 4.14, 4.29]
try_v_ave.L = [3.71, 3.45, 3.46, 4.17, 4.22, 4.25, 3.93, 3.96, 3.49, 3.82, 3.6, 3.79, 3.89, 4.19, 3.93, 3.83, 4.26, 4.42]

var wind_rose_data_m0 = {} 
wind_rose_data_m0.month = 0 
wind_rose_data_m0.max_p = 22.0
wind_rose_data_m0.data = [6.74, 4.61, 3.9, 4.46, 4.92, 2.23, 2.21, 2.59, 9.37, 13.18, 16.18, 10.92, 8.93, 3.38, 3.04, 3.34]
var wind_rose_data_m1 = {} 
wind_rose_data_m1.month = 1 
wind_rose_data_m1.max_p = 22.0
wind_rose_data_m1.data = [2.83, 4.06, 4.35, 6.55, 5.63, 2.45, 2.05, 2.64, 8.91, 16.37, 18.84, 10.44, 7.68, 2.59, 2.04, 2.56]
var wind_rose_data_m2 = {} 
wind_rose_data_m2.month = 2 
wind_rose_data_m2.max_p = 22.0
wind_rose_data_m2.data = [2.88, 3.82, 4.0, 4.43, 3.69, 1.79, 1.74, 2.15, 7.51, 15.61, 21.29, 12.06, 9.9, 3.36, 2.94, 2.83]
var wind_rose_data_m3 = {} 
wind_rose_data_m3.month = 3 
wind_rose_data_m3.max_p = 22.0
wind_rose_data_m3.data = [3.54, 4.88, 5.51, 5.49, 5.48, 2.26, 2.02, 2.56, 7.68, 11.85, 15.82, 11.73, 9.6, 3.97, 3.94, 3.67]
var wind_rose_data_m4 = {} 
wind_rose_data_m4.month = 4 
wind_rose_data_m4.max_p = 22.0
wind_rose_data_m4.data = [4.66, 6.06, 5.9, 5.98, 5.76, 2.6, 2.75, 3.58, 10.3, 11.12, 11.8, 8.39, 8.18, 3.68, 4.17, 5.07]
var wind_rose_data_m5 = {} 
wind_rose_data_m5.month = 5 
wind_rose_data_m5.max_p = 22.0
wind_rose_data_m5.data = [5.27, 7.42, 5.55, 5.12, 6.27, 2.38, 1.94, 2.42, 8.26, 10.0, 12.76, 10.18, 9.57, 4.18, 3.71, 4.98]
var wind_rose_data_m6 = {} 
wind_rose_data_m6.month = 6 
wind_rose_data_m6.max_p = 22.0
wind_rose_data_m6.data = [4.76, 6.73, 4.3, 3.19, 3.53, 1.84, 2.39, 2.1, 7.84, 9.11, 14.49, 11.99, 12.39, 5.34, 4.87, 5.14]
var wind_rose_data_m7 = {} 
wind_rose_data_m7.month = 7 
wind_rose_data_m7.max_p = 22.0
wind_rose_data_m7.data = [4.05, 4.61, 2.81, 2.81, 3.8, 2.03, 2.14, 2.5, 8.58, 10.35, 17.03, 15.08, 11.31, 4.59, 4.11, 4.22]
var wind_rose_data_m8 = {} 
wind_rose_data_m8.month = 8 
wind_rose_data_m8.max_p = 22.0
wind_rose_data_m8.data = [4.12, 3.84, 2.8, 2.73, 4.21, 2.77, 2.6, 2.98, 10.59, 11.04, 15.48, 12.48, 11.05, 4.65, 4.32, 4.35]
var wind_rose_data_m9 = {} 
wind_rose_data_m9.month = 9 
wind_rose_data_m9.max_p = 22.0
wind_rose_data_m9.data = [3.72, 5.05, 3.43, 3.98, 5.12, 2.12, 2.47, 2.77, 11.8, 13.87, 15.48, 12.01, 9.11, 3.25, 2.84, 2.97]
var wind_rose_data_m10 = {} 
wind_rose_data_m10.month = 10 
wind_rose_data_m10.max_p = 22.0
wind_rose_data_m10.data = [2.06, 3.45, 2.98, 4.79, 6.88, 2.86, 2.8, 2.89, 13.16, 17.91, 17.97, 10.34, 6.36, 1.96, 1.62, 2.0]
var wind_rose_data_m11 = {} 
wind_rose_data_m11.month = 11 
wind_rose_data_m11.max_p = 22.0
wind_rose_data_m11.data = [2.51, 2.9, 2.08, 3.42, 4.16, 2.61, 2.5, 3.37, 13.67, 19.21, 19.69, 9.71, 7.82, 2.62, 1.76, 1.97]
var wind_rose_data_m12 = {} 
wind_rose_data_m12.month = 12 
wind_rose_data_m12.max_p = 22.0
wind_rose_data_m12.data = [3.72, 4.4, 4.61, 6.71, 6.29, 1.94, 1.96, 2.2, 7.7, 16.72, 19.85, 10.91, 7.95, 1.8, 1.5, 1.75]

var try_pdf_data = {} 
try_pdf_data = {} 
try_pdf_data.data = [8.46, 14.02, 16.55, 16.3, 14.08, 10.92, 7.7, 4.98, 2.96, 1.63, 0.83, 0.39, 0.17, 0.07, 0.03, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
try_pdf_data.V_range = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
try_pdf_data.pdf_mask = true
try_pdf_data.font_1 = 18

var try_near_comp = {} <!-- _near_comp site, name, distance, v_ave, cp(3) -->
try_near_comp.site_number=["00003", "15000", "03623"]
try_near_comp.name=["Aachen", "Aachen-Orsbach", "Nörvenich (Flugplatz)"]
try_near_comp.distance=[0.19, 4.5, 41.25]
try_near_comp.v_ave=[3.29, 4.59, 3.29]
try_near_comp.cp_s=[4.2, 11.79, 5.71]
try_near_comp.cp_m=[6.08, 16.15, 8.04]
try_near_comp.cp_l=[6.92, 18.43, 9.15]

var try_report_link = {} 
try_report_link = "https://www.dwd.de/DE/leistungen/testreferenzjahre/testreferenzjahre.html;jsessionid=CC9FB95EC0D9FEF8737B298330325F68.live11053?nn=507312"

var try_monthly_v_ave = {} 
try_monthly_v_ave.m_v_ave = [3.44, 3.44, 3.09, 2.61, 2.34, 2.21, 2.31, 2.14, 2.25, 2.62, 2.93, 3.34] 
try_monthly_v_ave.m_v_std_plus = [4.5, 4.45, 4.0, 3.37, 3.02, 2.85, 2.99, 2.8, 2.95, 3.43, 3.8, 4.34] 
try_monthly_v_ave.m_v_std_minus = [2.38, 2.44, 2.19, 1.86, 1.67, 1.57, 1.63, 1.47, 1.55, 1.8, 2.05, 2.34] 
try_monthly_v_ave.m_v_max = 5.4 

var try_hour_v_ave = {} 
try_hour_v_ave.hour_v_ave = [2.4, 2.38, 2.39, 2.4, 2.4, 2.41, 2.45, 2.59, 2.78, 2.99, 3.18, 3.31, 3.37, 3.36, 3.3, 3.17, 3.02, 2.82, 2.63, 2.48, 2.42, 2.4, 2.39, 2.38] 
try_hour_v_ave.std_v_minus = [1.55, 1.54, 1.55, 1.57, 1.56, 1.56, 1.6, 1.74, 1.93, 2.12, 2.3, 2.42, 2.5, 2.5, 2.46, 2.35, 2.21, 2.03, 1.83, 1.67, 1.59, 1.57, 1.56, 1.53] 
try_hour_v_ave.std_v_plus = [3.25, 3.23, 3.23, 3.23, 3.23, 3.25, 3.3, 3.44, 3.63, 3.85, 4.05, 4.19, 4.25, 4.21, 4.14, 3.99, 3.82, 3.61, 3.42, 3.28, 3.24, 3.23, 3.23, 3.23] 
try_hour_v_ave.hour_v_max = 3.37 
var last_check = "2020-07-04"