Abstract
Abstract The Present study focuses on the impact of various factors on the growth of wind power generation in seven most wind energy prone states of India, that contain 97 % of India’s total wind power potential. The impact of state-wise policy parameters Feed-in Tariff (FIT) rate, Renewable Purchase Obligations (RPO) and Power Purchase Agreement (PPA) are evaluated in terms of aggregate policy indices that indicate the likelihood of wind power deployment in that state, through multivariate statistical analysis. The wind energy technology with reference to wind turbine specific policies, scaling of the project, the impact of hybrid policy, grid-related technological advancements and the improvement of capacity utilization factor (CUF) are discussed. Further, the impact of per capita net domestic product (PCNDP) and power demand-supply scenario are assessed. It was found that these two factors are non-influential on wind power growth. The outcome of the present study is that aggregate policy indices, captive/third party use of feasibility, presence of repowering policy, actual CUF obtained at the location, delay in cash flow and total available power potential are the factors that significantly influence the growth of cumulative installed capacity. This study provides an insight for policymakers for a quantitative assessment of the existing policies along with other factors and assists the project developers to compare and identify suitable locations for wind power projects in the near future. The exchange rate of 1 USD ($) = 69.38 INR (₹) has been taken throughout the manuscript.
Highlights
Policy formation is an intricate process which leads to significant changes at world and national level incorporating regional level implementation [1]
It can be concluded that state wind power policies play an important role in the deployment of wind power generation in the selected wind prone states
2020 / 24 policies data of Feed-in Tariff (FIT), Power Purchase Agreement (PPA) duration and Renewable Purchase Obligation (RPO) are taken as input to derive the aggregate policy indices for each respective state using multivariate statistical analysis
Summary
Policy formation is an intricate process which leads to significant changes at world and national level incorporating regional level implementation [1]. For promoting the sustainable growth of renewable energy on root level, different energy management strategies have to be formulated in the form of policies (e.g. incentive mechanism, tariff policies etc.) [2]. In this context, India has agreed to shrink the emissions up to 33–35 % from 2005 level and attain around 40 %. The electricity generation by means of onshore wind energy in India exhibited the overall growth of 43.28 TWh with an average annual addition of 4.33 GWh (Fig. 2). At the end of year 2018, India’s overall RE capacity was nearly 70 GW [8]
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