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Using aggregator-based platform for accelerating solar roof top power plant based on decision-based modeling

Author: 
Kamran Quddus and Aayush Anand
Subject Area: 
Social Sciences and Humanities
Abstract: 

Despite India witnessing an 88% decadal drop in the weighted price of solar installation, which is among the highest in the world, the share of Solar Roof Top installation has not grown proportionately compared to ground-mounted solar rooftop projects. As per Ministry of New and Renewable Energy (MNRE) data, the overall installed capacity as of November 2021 was 6 GW, and it is likely to miss the target of 40GW set by the Government Of India by December 2022. One of the major areas for increasing the rooftop installation is the residential segment, given the incentives given by MNRE. The government has tried to do course correction by simplifying the solar installation process in January 2022. However, as previous studies have suggested, this is only one of the problem areas for the slow uptake of Residential Solar Power Plant. In our study, we focus on addressing the financing gap, which is one of the major hurdles in the adoption of solar through decision-based modelling with distribution companies as an aggregator.

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