This case study is an actual detailed financial analysis for a residential home owner who has recently installed a 6kW On-Grid Solar Plant.
Cost is one of the most important parameter which influences the decision of a residential home owner that whether he will go solar or not.
This cost factor basically includes these key aspects:
Through this case study we demonstrate the above factors for a residential home owner in Gujarat. Gujarat has an active residential market with amazing policy support offered by nodal agencies. Morever for this entire study, we have used TSL design studio for
First the 2-D layout was created with precise mapping of the obstructions present on the roof.
After 2D mapping, panels were placed on the shade free area on the roof.
A total number of 18 panels were placed with appropriate orientation and tilt.
Shadow analysis was done to make sure that all the panels are shade free. From the shadow analysis report for December 22 from 9 AM to 5 PM, we can observe that the panels are shade free for 99.87% of solar time throughout the year.
Shadow patterns on 21st June from 6 AM to 6 PM is also shown below.
After finalizing on the design part, systems make were selected. These included:
Finally the financial reports were generated and the further analysis was done.
The financial report generated from TSL clearly highlights these parameters:
Now the total upfront cost to the user is significantly affected by, whether he has availed any subsidy or not.
The image below shows the subsidy rates provided by the Centre and state to residential home owners in the state of Gujarat
Generally the residential home owners have a stigma that they have to spend a hefty amount if they decide to choose solar for meeting their electricity demands. Mostly they are unaware of the various subsidies on offer by both the Centre and State Nodal Agencies (SNAβs). These subsidies can significantly reduce the total upfront cost and bring down the payback period.
From the above study we can see that, for a 6 kW of installed capacity in Gujarat, the subsidy amounting to βΉ 79,211 has brought down the payback period by 12 months. Also, since the payback period has been reduced the internal rate of return (IRR) value has increased by 10.47%.
To know more in detail about the financial terms used above, click here