public async Task <string> GetWeather(string location)
{
var client = new OpenWeatherMap.OpenWeatherMapClient(getWeatherApiAppId());
var weather = await client.CurrentWeather.GetByName(location);
return($"City: {weather.City.Name} w/ {weather.Clouds.Value} clouds; last updated {weather.LastUpdate.Value:d}");
}
static async System.Threading.Tasks.Task Main(string[] args)
{
string choice;
var client = new OpenWeatherMap.OpenWeatherMapClient(cnfg.Api_token);
Console.WriteLine("City or coords?");
choice = Console.ReadLine();
double[] tmp_arr = new double[3];
int ii;
WeatherData response;
switch (choice)
{
case "0":
response = cnfg.GetResponse("?q=" + Console.ReadLine());
break;
case "1":
response = cnfg.GetResponse("?lat=" + cnfg.Shir + "&lon=" + cnfg.Dolg);
break;
default:
response = cnfg.GetResponse("?lat=" + cnfg.Shir + "&lon=" + cnfg.Dolg);
for (int i = 3; i < response.List.Length; i += 8)
{
ii = 0;
for (int j = i; i - j < 2; j--, ii++)
{
tmp_arr[0] = response.List[j].Main["temp"];
tmp_arr[1] = response.List[j - 1].Main["temp_min"];
tmp_arr[2] = response.List[j - 2].Main["temp_max"];
}
Console.WriteLine(
"Max: {0} kelvin\nAvg: {1} kelvin\n\n", tmp_arr.Max(), Math.Round(tmp_arr.Average(), 2)
);
}
Console.WriteLine(response.List);
break;
}
Console.ReadKey();
}
private async Task LoadWeather()
{
IsLoading = true;
try
{
var client = new OpenWeatherMap.OpenWeatherMapClient();
var cityId = SettingsHelper.Settings.CityId.GetValue <double>();
if (cityId == default(double))
{
cityId = 2113015;//set Chiba-Japan as default value
}
Weather = await client.GetWeatherAsync(cityId);
}
catch (Exception ex)
{
Debugger.WriteErrorLog("Error occured while loading weather.", ex);
await new MessageDialog(ex.Message, "Error occured while loading weather.").ShowAsync();
}
IsLoading = false;
}
//HERE are my sources for this
//https://books.google.com/books?id=_2brYQqb_RYC&pg=PA26&lpg=PA26&dq=average+watts/m%5E2+surface+peak&source=bl&ots=ImzfwuObq1&sig=oWaRpcitRVbF5M0YApRiLwb-qoA&hl=en&sa=X&ved=0ahUKEwi41IKkxLPaAhUBWK0KHXLbB3EQ6AEIiQEwBw#v=onepage&q=average%20watts%2Fm%5E2%20surface%20peak&f=false
//https://solarpowerrocks.com/solar-basics/how-do-solar-panels-work-in-cloudy-weather/
/*
* Assumptions:
* 1kw/m^2 during sunlight
* 25% efficiency during cloudy day
* 100% efficiency during sunny day
*
* panel is 15% efficient at converting power
*
* full power during daylight
*
* */
public static PowerData MakePredictionAndGetAngles(string weather)
{
const double wattsPerM2 = 1000;
const double coefficientForClouds = 0.25;
const double panelAreaInM2 = 0.0687;
const double panelEfficiency = 0.15;
//Get the minutes of the day that are avaiulable
ExcelPackage package = new ExcelPackage(new System.IO.FileInfo("wwwroot/xls/NOAA_Solar_Calculations_day.xlsx"));
ExcelWorksheet sheet = package.Workbook.Worksheets[1];
var start = sheet.Dimension.Start;
var end = sheet.Dimension.End;
//double solarMinutes = Convert.ToDouble(sheet.Cells[27, 2].Text);
//DateTime sunrise = Convert.ToDateTime(sheet.Cells[25, 2].Text);
//DateTime sunset = Convert.ToDateTime(sheet.Cells[26, 2].Text);
double solarMinutes;
PowerData data = new PowerData();
//Now get all teh angle data
List <DateTime> TimeFractions = new List <DateTime>();
List <double> AngleH = new List <double>();
List <double> AngleA = new List <double>();
//Also get the coordinates
var lat = Convert.ToDouble(sheet.Cells[3, 2].Text);
var lng = Convert.ToDouble(sheet.Cells[4, 2].Text);
int row = start.Row;
//Get sunrise and sunset
double sunrise = Convert.ToDouble(sheet.Cells[2, 25].Text);
double sunset = Convert.ToDouble(sheet.Cells[2, 26].Text);
solarMinutes = (sunset - sunrise) * 24 * 60;
//Skip headers
row++;
//Parse rows one by one
while (row < end.Row)
{
if (row < 180 && row > 90)
{
//Add the thing from this row to each
TimeFractions.Add(Convert.ToDateTime(sheet.Cells[row, 5].Text));
AngleH.Add(Convert.ToDouble(sheet.Cells[row, 33].Text));
AngleA.Add(Convert.ToDouble(sheet.Cells[row, 34].Text));
}
//increment row
row++;
}
//Closes package
package.Dispose();
//Now get the weather
OpenWeatherMap.OpenWeatherMapClient client = new OpenWeatherMap.OpenWeatherMapClient("933839ed82ba0ad5f89513a943b6f71c");
OpenWeatherMap.Coordinates coord = new OpenWeatherMap.Coordinates();
coord.Latitude = lat;
coord.Longitude = lng;
//This is lowkey a little bit dangerous
var currentWeather = client.CurrentWeather.GetByCoordinates(coord).Result;
double cloudyNess = currentWeather.Clouds.Value;
data.City = currentWeather.City.Name;
data.UrlForIcon = "http://openweathermap.org/img/w/" + currentWeather.Weather.Icon + ".png";
data.CurrentWeather = currentWeather.Weather.Value;
//Make the predictions
if (cloudyNess < 50)
{
data.DailyPower = wattsPerM2 * panelAreaInM2 * panelEfficiency * (solarMinutes / 60.0) * ((100 - cloudyNess) / 100);
data.CurrentPower = wattsPerM2 * panelAreaInM2 * panelEfficiency;
}
else
{
data.DailyPower = wattsPerM2 * panelAreaInM2 * panelEfficiency * solarMinutes / 60.0;
data.CurrentPower = wattsPerM2 * panelAreaInM2 * panelEfficiency;
}
data.Times = TimeFractions;
//Process 3d angles
if (cloudyNess < 50)
{
data.AngleA = AngleA;
data.AngleH = AngleH;
}
else
{
data.AngleH = new List <double>();
data.AngleA = new List <double>();
foreach (var t in data.Times)
{
data.AngleA.Add(0);
data.AngleH.Add(0);
}
}
data.X = new List <double>();
data.Y = new List <double>();
data.Z = new List <double>();
foreach (var angle in AngleA)
{
data.X.Add(5 * Math.Sin(angle));
data.Z.Add(5 * Math.Cos(angle));
}
foreach (var angle in AngleH)
{
data.Y.Add(5 * Math.Tan(angle));
}
data.countAngs = data.Y.Count;
data.HoursOfSun = (int)solarMinutes / 60;
return(data);
}
