var owd_email = "info@openwinddata.com"

var site_data = {} 
site_data.number = "00003";
site_data.site = "Aachen";
site_data.land = "Nordrhein-Westfalen";
site_data.map_site = "<object type=\"text/html\" class=\"site_map\" data=\"../../miniMaps/dashboard_map_00003.html\")></object>";
site_data.rank = "<script>document.write(data_check.s00003[1]);<\/script>";
site_data.years = "74.3";
site_data.years10min = "16.2";
site_data.last = "2011-03-31";
site_data.LAST_UPDATE = "2011-03-31";
site_data.c_p = "6.92";
site_data.v_ave = "3.29";
site_data.prevailing_wind_dir = "SW";
site_data.lat = "50.7833";
site_data.lon = "6.0833";
site_data.gmap_link = "http://www.google.com/maps/place/50.7833,6.0833";

var meas_height = {} 
meas_height.year_start = ["01/1975", "06/1993", "02/2008"]
meas_height.year_end = ["06/1993", "02/2008", "04/2012"]
meas_height.h_m = [16.0, 16.0, 19.93]

var base_production = {} 
base_production.turbine = ["S", "M", "L"]
base_production.c_p = [4.2, 6.08, 6.92]
base_production.AEP = ["3,678", "798,493", "2,097,018"]
base_production.P_R = [10, 1500, 3460]

var base_v_ave = {} 
base_v_ave.type = "base_"
base_v_ave.turbine = ["S", "M", "L"]
base_v_ave.h_h = [30, 80, 100]
base_v_ave.year = [1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011]
base_v_ave.h_m = [3.59, 4.55, 4.99, 4.28, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 3.95, 3.6, 3.16, 4.15, 3.44, 3.57, 3.74, 3.58, 3.25, 3.59, 3.39, 3.55, 3.11, 3.2, 3.54, 3.4, 3.68, 3.16, 3.05, 3.4, 2.96, 3.14, 3.38, 3.9, 3.15, 2.96, 3.33, 3.24, 3.22, 3.21, 3.08, 3.05, 3.42, 2.93, 2.85, 3.08, 2.61, 2.97, 2.72, 3.46, 3.23, 3.43, 3.28, 3.21, 2.96, 2.74, 2.77, 3.35, 3.36, 3.4, 3.04, 3.06, 2.67, 2.99, 2.81, 2.95, 3.04, 3.46, 3.21, 3.15, 3.72]
base_v_ave.S = [3.84, 4.86, 5.33, 4.57, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 4.22, 3.85, 3.38, 4.43, 3.68, 3.81, 4.0, 3.83, 3.47, 3.84, 3.63, 3.79, 3.32, 3.42, 3.78, 3.64, 3.93, 3.38, 3.26, 3.63, 3.16, 3.35, 3.61, 4.17, 3.5, 3.28, 3.7, 3.59, 3.57, 3.56, 3.42, 3.38, 3.79, 3.25, 3.16, 3.41, 2.9, 3.29, 3.01, 3.84, 3.58, 3.8, 3.64, 3.56, 3.28, 3.04, 3.07, 3.72, 3.73, 3.77, 3.37, 3.39, 2.96, 3.31, 3.11, 3.27, 3.37, 3.72, 3.43, 3.36, 3.97]
base_v_ave.M = [4.43, 5.6, 6.15, 5.27, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 4.87, 4.44, 3.9, 5.11, 4.24, 4.39, 4.61, 4.42, 4.01, 4.42, 4.18, 4.37, 3.83, 3.94, 4.36, 4.19, 4.53, 3.9, 3.76, 4.18, 3.65, 3.87, 4.17, 4.81, 4.03, 3.78, 4.26, 4.14, 4.12, 4.11, 3.94, 3.9, 4.37, 3.75, 3.64, 3.94, 3.34, 3.8, 3.48, 4.42, 4.13, 4.38, 4.2, 4.1, 3.79, 3.5, 3.54, 4.29, 4.3, 4.35, 3.89, 3.91, 3.42, 3.82, 3.59, 3.78, 3.89, 4.29, 3.96, 3.88, 4.58]
base_v_ave.L = [4.56, 5.77, 6.33, 5.43, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, 5.01, 4.57, 4.02, 5.26, 4.37, 4.53, 4.75, 4.55, 4.13, 4.56, 4.31, 4.5, 3.95, 4.06, 4.49, 4.32, 4.67, 4.02, 3.87, 4.31, 3.76, 3.99, 4.29, 4.95, 4.16, 3.9, 4.39, 4.27, 4.24, 4.23, 4.06, 4.02, 4.5, 3.86, 3.75, 4.06, 3.45, 3.91, 3.58, 4.56, 4.26, 4.51, 4.32, 4.22, 3.9, 3.61, 3.65, 4.42, 4.43, 4.49, 4.01, 4.03, 3.52, 3.94, 3.7, 3.89, 4.01, 4.42, 4.08, 3.99, 4.72]

var wind_rose_data_m0 = {} 
wind_rose_data_m0.month = 0 
wind_rose_data_m0.max_p = 17.0
wind_rose_data_m0.data = [6.5, 4.88, 4.08, 4.23, 5.39, 2.08, 1.9, 2.49, 9.04, 13.22, 16.21, 10.61, 9.62, 3.44, 2.92, 3.39]

var base_pdf_data = {} 
base_pdf_data = {} 
base_pdf_data.data = [8.34, 12.93, 14.93, 14.81, 13.21, 10.82, 8.24, 5.88, 3.95, 2.51, 1.51, 0.87, 0.47, 0.24, 0.12, 0.06, 0.03, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
base_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]
base_pdf_data.pdf_mask = true
base_pdf_data.font_1 = 18

var base_data_quality = {} 
base_data_quality.type = "base_"
base_data_quality.years = [1937, 1938, 1939, 1940, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010]
base_data_quality.quality = [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 99.97, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]
base_data_quality.ymin = 99.97

var last_check = "2023-09-14"