Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites
Wind energy is a clean and practical way to create electricity. It necessitates the assessment of Wind Power Potential (WPP) and its economic analysis at different heights. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | Science and Technology for Energy Transition |
| Subjects: | |
| Online Access: | https://www.stet-review.org/articles/stet/full_html/2024/01/stet20230179/stet20230179.html |
| _version_ | 1797299438434123776 |
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| author | Kumar Pradeep Yadav Amit Kumar |
| author_facet | Kumar Pradeep Yadav Amit Kumar |
| author_sort | Kumar Pradeep |
| collection | DOAJ |
| description | Wind energy is a clean and practical way to create electricity. It necessitates the assessment of Wind Power Potential (WPP) and its economic analysis at different heights. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height using six methods. The effectiveness of each method was performed through the computation of Relative Power Density Error (RPDE). The results suggested that the best method to estimate the WPP is the Novel Energy Pattern Factor Method (NEPFM) followed by the Empirical Method of Mabchour (EMM), the Empirical Method of Justus (EMJ), and the Empirical Method of Lysen (EML). A technical assessment is also made using six different wind turbine Models, through the computation of their respective capacity factors, annual power, and energy outputs. Furthermore the economic feasibility of these wind turbines gave Cost of Energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry. |
| first_indexed | 2024-03-07T22:49:39Z |
| format | Article |
| id | doaj.art-a963ffe426c54925b644bbb03284acab |
| institution | Directory Open Access Journal |
| issn | 2804-7699 |
| language | English |
| last_indexed | 2024-03-07T22:49:39Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Science and Technology for Energy Transition |
| spelling | doaj.art-a963ffe426c54925b644bbb03284acab2024-02-23T10:31:18ZengEDP SciencesScience and Technology for Energy Transition2804-76992024-01-01791010.2516/stet/2024003stet20230179Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sitesKumar Pradeep0https://orcid.org/0000-0002-4780-6162Yadav Amit Kumar1https://orcid.org/0000-0003-2577-7097Electrical and Electronics Engineering Department, National Institute of Technology Sikkim, Barfung BlockSchool of Computer Science and Artificial Intelligence, SR UniversityWind energy is a clean and practical way to create electricity. It necessitates the assessment of Wind Power Potential (WPP) and its economic analysis at different heights. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height using six methods. The effectiveness of each method was performed through the computation of Relative Power Density Error (RPDE). The results suggested that the best method to estimate the WPP is the Novel Energy Pattern Factor Method (NEPFM) followed by the Empirical Method of Mabchour (EMM), the Empirical Method of Justus (EMJ), and the Empirical Method of Lysen (EML). A technical assessment is also made using six different wind turbine Models, through the computation of their respective capacity factors, annual power, and energy outputs. Furthermore the economic feasibility of these wind turbines gave Cost of Energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry.https://www.stet-review.org/articles/stet/full_html/2024/01/stet20230179/stet20230179.htmlwind power densitycost of energyweibulleconomics |
| spellingShingle | Kumar Pradeep Yadav Amit Kumar Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites Science and Technology for Energy Transition wind power density cost of energy weibull economics |
| title | Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites |
| title_full | Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites |
| title_fullStr | Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites |
| title_full_unstemmed | Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites |
| title_short | Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites |
| title_sort | novel exploration of hub heights on economics and weibull distribution methods for wind power potential in indian sites |
| topic | wind power density cost of energy weibull economics |
| url | https://www.stet-review.org/articles/stet/full_html/2024/01/stet20230179/stet20230179.html |
| work_keys_str_mv | AT kumarpradeep novelexplorationofhubheightsoneconomicsandweibulldistributionmethodsforwindpowerpotentialinindiansites AT yadavamitkumar novelexplorationofhubheightsoneconomicsandweibulldistributionmethodsforwindpowerpotentialinindiansites |