Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India
In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°...
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MDPI AG
2019-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/11/2158 |
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| author | Mekalathur B Hemanth Kumar Saravanan Balasubramaniyan Sanjeevikumar Padmanaban Jens Bo Holm-Nielsen |
| author_facet | Mekalathur B Hemanth Kumar Saravanan Balasubramaniyan Sanjeevikumar Padmanaban Jens Bo Holm-Nielsen |
| author_sort | Mekalathur B Hemanth Kumar |
| collection | DOAJ |
| description | In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°41′30.4″ N 79°21′34.4″ E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260−280° and wind from 0−4 m/s were present in sector 170−180° of the Tirumala region in India. |
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| id | doaj.art-b738642d7d9d432c8d2f8841f8c67303 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T06:25:59Z |
| publishDate | 2019-06-01 |
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| series | Energies |
| spelling | doaj.art-b738642d7d9d432c8d2f8841f8c673032022-12-22T01:59:13ZengMDPI AGEnergies1996-10732019-06-011211215810.3390/en12112158en12112158Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in IndiaMekalathur B Hemanth Kumar0Saravanan Balasubramaniyan1Sanjeevikumar Padmanaban2Jens Bo Holm-Nielsen3School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, IndiaSchool of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamilnadu, IndiaCenter for Bioenergy and Green Engineering, Department of Electrical Engineering, Alborg University, 6700 Esbjerg, DenmarkCenter for Bioenergy and Green Engineering, Department of Electrical Engineering, Alborg University, 6700 Esbjerg, DenmarkIn this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13°41′30.4″ N 79°21′34.4″ E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260−280° and wind from 0−4 m/s were present in sector 170−180° of the Tirumala region in India.https://www.mdpi.com/1996-1073/12/11/2158multiverse optimizationWeibull distributionwind resource assessmentnumerical methodswind data |
| spellingShingle | Mekalathur B Hemanth Kumar Saravanan Balasubramaniyan Sanjeevikumar Padmanaban Jens Bo Holm-Nielsen Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India Energies multiverse optimization Weibull distribution wind resource assessment numerical methods wind data |
| title | Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India |
| title_full | Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India |
| title_fullStr | Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India |
| title_full_unstemmed | Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India |
| title_short | Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India |
| title_sort | wind energy potential assessment by weibull parameter estimation using multiverse optimization method a case study of tirumala region in india |
| topic | multiverse optimization Weibull distribution wind resource assessment numerical methods wind data |
| url | https://www.mdpi.com/1996-1073/12/11/2158 |
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