Assessment of Factors Affecting Onshore Wind Power Deployment in India
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 Obligat...
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doaj-2b9042842a6a46e4854f3b48b1c9cef62021-09-05T14:01:32ZengSciendoEnvironmental and Climate Technologies2255-88372020-01-0124118520810.2478/rtuect-2020-0012rtuect-2020-0012Assessment of Factors Affecting Onshore Wind Power Deployment in IndiaDas Alok0Jani Hardik K.1Kachhwaha Surendra Singh2Nagababu Garlapati3School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, IndiaSchool of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, IndiaSchool of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, IndiaSchool of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, IndiaThe 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.https://doi.org/10.2478/rtuect-2020-0012multivariate statistical analysispolicypower generationrenewable energywind energy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Das Alok Jani Hardik K. Kachhwaha Surendra Singh Nagababu Garlapati |
spellingShingle |
Das Alok Jani Hardik K. Kachhwaha Surendra Singh Nagababu Garlapati Assessment of Factors Affecting Onshore Wind Power Deployment in India Environmental and Climate Technologies multivariate statistical analysis policy power generation renewable energy wind energy |
author_facet |
Das Alok Jani Hardik K. Kachhwaha Surendra Singh Nagababu Garlapati |
author_sort |
Das Alok |
title |
Assessment of Factors Affecting Onshore Wind Power Deployment in India |
title_short |
Assessment of Factors Affecting Onshore Wind Power Deployment in India |
title_full |
Assessment of Factors Affecting Onshore Wind Power Deployment in India |
title_fullStr |
Assessment of Factors Affecting Onshore Wind Power Deployment in India |
title_full_unstemmed |
Assessment of Factors Affecting Onshore Wind Power Deployment in India |
title_sort |
assessment of factors affecting onshore wind power deployment in india |
publisher |
Sciendo |
series |
Environmental and Climate Technologies |
issn |
2255-8837 |
publishDate |
2020-01-01 |
description |
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. |
topic |
multivariate statistical analysis policy power generation renewable energy wind energy |
url |
https://doi.org/10.2478/rtuect-2020-0012 |
work_keys_str_mv |
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