Find your home’s solar potential with Google’s Project Sunroof, Via Ecosoch
With the world advancing towards automation and innumerable devices making our lives progressively comfortable, the threats posed to our mother nature are being not accounted for.
One of the eco friendly tasks that an individual can easily go for is to opt for solar power. There are many places where we receive plenty of sunlight, simply being wasted. If we can take a step forward and install solar energy systems at our homes, a lot of advantages can be pooled in, apart from reducing global warming, like aiding the grid systems. The costs of the panels have come down but the initial installation costs are still expensive. When we compare these costs with the savings in the future, we will be benefited.
Before installing solar energy systems one needs to consider the following parameters
Site survey parameters:
The roof structure and orientation
The amount of sunlight that hits the roof and sun’s position at different times of the day as well as year.
The latitude and altitude of the place
Season and time zone
Photo voltaic system parameters:
Load requirement
Panel design parameters like dimensions, orientation, number of modules used
Module ratings and specifications like temperature coefficient, operating conditions, voltage, current characteristics etc.,
Inverter specifications
Battery specifications
Wiring requirements and protection devices
It is difficult for a customer to go and collect all these details or search about them and choose a suitable design with necessary specifications. Likewise it is difficult for the solar retailer to perform site survey. Google has made this task much easier by introducing Project Sunroof.
Project Sunroof is a solar power initiative started by Google engineer Carl Elkin. The initiative’s stated purpose is “mapping the planet’s solar potential, one roof at a time,” which makes our understanding about the installation much easier even without any previous knowledge. This project mainly focuses on marking the intensity of sunlight on the roof tops using satellite images. It was initialized in August 2015.
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