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Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model
Energy & Environment ( IF 4.0 ) Pub Date : 2021-09-13 , DOI: 10.1177/0958305x211043531
Rajeev Kumar 1, 2 , Pavan Khetrapal 2, 3 , Manoj Badoni 4 , Sourav Diwania 1, 2
Affiliation  

Nowadays, to fulfill growing power requirements at reasonable prices, like other European countries, the Indian electricity market is now more oriented towards renewable energy resources. Today, the wind energy industry has grown from a marginal activity to a multi-billion-dollar business in India's power production sector because of its comparatively safer and positive environmental features. Though, there are several wind energy power plants generating electricity in India's different geographical locations, assessing their performance is a crucial task and an important target for stakeholders. In the present study, an attempt is made to quantitatively assess the relative operational efficiencies of 14 wind power plants in India during 2016–2017 to 2019–2020 employing a two-stage data envelopment analysis Tobit model. Further, the sensitivity analysis is implemented in the present study to assess the robustness and efficacy of the data envelopment analysis models with different combinations of inputs and outputs. Data envelopment analysis results indicate that 14% of India's wind power plants were operated at the most productive scale during the observed period 2016–2017 to 2019–2020. The Tobit regression results indicate that the wind turbines’ age adversely affects production efficiency. In contrast, the site elevation has a significant positive impact on the operational efficiency of wind power plants. Findings from the present study may help stakeholders and policy regulators in the wind industry to identify the key factors influencing the performance of ongoing wind power plants in India and optimize operational strategies and policies.



中文翻译:

使用两阶段模型评估印度发电部门风力发电厂的相对运行性能

如今,为了以合理的价格满足不断增长的电力需求,与其他欧洲国家一样,印度电力市场现在更加面向可再生能源。今天,风能行业已经从印度电力生产部门的边缘活动发展为价值数十亿美元的业务,因为它具有相对安全和积极的环境特征。尽管在印度不同的地理位置有几家风能发电厂在发电,但评估它们的性能是一项至关重要的任务,也是利益相关者的重要目标。在本研究中,尝试使用两阶段数据包络分析 Tobit 模型定量评估 2016-2017 年至 2019-2020 年印度 14 座风力发电厂的相对运营效率。更远,本研究采用敏感性分析来评估具有不同输入和输出组合的数据包络分析模型的稳健性和有效性。数据包络分析结果表明,在 2016-2017 年至 2019-2020 年观察期间,印度 14% 的风力发电厂以最高生产规模运行。Tobit 回归结果表明风力涡轮机的年龄对生产效率产生不利影响。相比之下,场地高程对风力发电厂的运行效率有显着的积极影响。本研究的结果可能有助于风能行业的利益相关者和政策监管机构确定影响印度现有风力发电厂性能的关键因素,并优化运营战略和政策。

更新日期:2021-09-13
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