Irradiance mapping leveraging a distributed network of solar photovoltaic systems

1. A computer processor implemented method of developing irradiance mapping using a distributed network of solar photovoltaic systems, said method comprising the steps of:

selecting a predetermined geographic area having at least five solar photovoltaic systems to provide a photovoltaic system;

calibrating the photovoltaic system;

reversing the photovoltaic system performance model using a computer processor to solve the irradiance input value;

calculating irradiance according to said irradiance input value, energy output and weather data using said computer processor to provide a single irradiance point; and

mapping at least two said single irradiance points to create an irradiance map.

2. A method as in claim 1 , further comprising the step of:

Utilizing comparative information from nearby photovoltaic systems to provide at least one comparative information irradiance point; and mapping said at least two said single irradiance points and said at least one comparative information irradiance point to create said irradiance map.

3. A method as in claim 1 , further comprising the step of:

smoothing said at least two said single irradiance points.

4. A method as in claim 1 , wherein said step of determining an irradiance input value is from said system performance values, said calibrated system performance model and the temperature.

5. A method as in claim 4 , further comprising the step of:

predicting irradiance based on extrapolation of current data and weather forecasts.

6. A method as in claim 5 , wherein said temperature is obtained from a third party internet weather feed source and saved in said at least one data server.

7. A method as in claim 4 , wherein said temperature is obtained by a temperature probe attached to said solar powered system.

8. A method as in claim 1 , further comprising the step of:

automatically determining system configuration information for said solar photovoltaic systems;

utilizing said system configuration information to perform the step of reversing the photovoltaic system performance model using a computer processor to solve the irradiance input value.

9. A method as in claim 8 , wherein said step of automatically determining system configuration is further comprising the steps of:

constructing a data set of at least one standard performance curve for at least one system type to provide a data set with at least one system type and correlated standard performance curves and saving said data set with at least one system type and correlated standard performance curves in at least one data server;

defining at least one characteristic feature for each said at least one system type to provide at least one system type and correlated characteristic feature and saving said at least one system type and correlated characteristic feature in said at least one data server;

determining the required data to identify said at least one system type according to at least one of said standard performance curve and said characteristic feature;

remotely acquiring said required data for at least one solar photovoltaic system to provide acquired solar photovoltaic systems data and saving said acquired solar photovoltaic systems data in said at least one data server;

comparing system acquired solar photovoltaic systems data to said at least one system type and correlated standard performance curves and said system type and correlated characteristic features to provide system configuration information for at least one solar photovoltaic system to provide the specific type of said at least one solar photovoltaic system.