A very effective measure to reduce energy costs in irrigation systems is to establish a watering schedule for each hydrant so that all these requirements are met...

 

• Provide the requested watering times within the requested timeframe.

• Preferably use the hours with the most economical electricity rates to minimize costs.

• Ensure there is sufficient pressure in all hydrants when they need to water.

• Modulate the pressure if possible and limit the contracted power for each period.

 

However, it is an extremely complex problem, with many decision variables, that an operator cannot satisfactorily solve through experience or trial and error alone.

 

The GESTAR R&D group at the University of Zaragoza has developed Artificial Intelligence computing techniques (computational algorithms) that solve the challenge of obtaining truly optimal irrigation schedules in a reasonable timeframe, making them accessible through a Cloud Computing service (TeleGESTAR-Programmer).

 

The company REGABER has developed a web app (SKYGESTAR) that provides a complete user environment operating on any mobile device and communicates with TeleGESTAR-Programmer for intensive Cloud Computing.

 

The use of an integrated system of ambls entrones has enabled energy cost savings of over 20%.