Problem statement

In Tamil Nadu, electricity is significantly relying on wind power based renewable energy source. If much wind is there, there will be minimal power cuts and vice versa. The second-tier urban area like Coimbatore, this dependence is much visible, and so one of the simple predictors of long power cuts is lack of adequate wind power in the nearby wind park area for example. On the other hand operators of windmills or power transmission sector, if they know much early about the forecast of wind power in their area, they have many advantages in preparing for storing the surplus energy source or find alternatives in the situation of low wind power.

Predicting the wind power is the problem of multidomain variables especially of meteorological predictions and engineering variables from the specific wind turbine used to generate the energy using wind power. One of the solutions is to use the existing empirical observation data from similar windmills or park to see how the variable is changing in the wind speed or meteorological domain of our area of interest (AOI).

Computations

Wind power is the third power of the wind speed. Based on this equation wind power can be calculated

w = ½ r A v3 where w is power, r is air density, A is the rotor area, and v is the wind speed.

r = (1.325 x P) / T where T is the temperature in Fahrenheit + 459.69 and P is the pressure in inches of Mercury adjusted for elevation

Based on //www.iowaenergycenter.org/wind-energy-manual/wind-and-wind-power/wind-speed-and-power/#sthash.4UBSpEQx.dpuf

Steps

1. Collect Numerical weather prediction (NWP) data of AOI. Mostly in the form of netCDF.
2. Convert netCDF into GeoTIFF for the wind speed variable band while conversion made it into an array object and execute the wind power calculation equations in the array.
3. Convert the wind power calculated array into GeoTIFF and visualize it in webGIS and implement query interface for the public user and operator user.
4. Make a vector of urban locality and nearby wind park with points of the wind turbine.
5. Based on the use case query,
   1. if a common public is querying how much energy would be nearby wind park is producing, the program calculates polygon vector calculation using the GeoTIFF (array) of wind power
   2. If an operator is asking for a specific turbine energy production, calculate point vector calculation using the GeoTIFF (array) of wind power
   3. Iterate the steps 1 to 4 for daily dynamic mapping of the wind power or based on the time frame availability of NWP data.

Views

1. Use the wind prediction map for establishing windmills, so done site suitability analysis.
2. The problem addresses already established windmills, there were few GIS components involved as a solution, even though a visualization part is involved it is minimal use here, how the user is going to be interested in the dynamic entity of weather.
3. So the problem is restated as Wind power forecasting map: a lightweight, event detection subscribable web application, based on work of http://earth.nullschool.net/about.html and https://github.com/cambecc/air