A study on India's first offshore Lidar‐based wind profiling at Gulf of Khambhat
Bibliographic Data
| ID | 12705494 |
|---|---|
| Authors | Moinak Maiti (0000-0003-0045-6174, Department of Finance National Research University Higher School of Economics, St. Petersburg School of Economics and Management Saint Petersburg Russia, corresponding author), Jayita Maiti (Independent Consultant India) |
| Year | 2019 |
| Volume | 20 |
| Issue | 2 |
| Publication date | 2019-12-18 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Affairs (JOURNAL) |
| Journal identifiers | ISSN: 1472-3891 • E-ISSN: 1479-1854 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/pa.2044 |
| OpenAlex | W2996370908 |
| Language | EN |
| Citations received | 3 |
A maiden attempt has been made to study India's first offshore LIDAR‐based wind profiling at Gulf of Khambhat. Both time series and panel data are used to derive the study conclusions. Quantile and panel analysis of the wind profiling done and based on that study finds interesting results. Study finds that wind characteristics are not constant over the quantiles and even change the polarisation. Study also concludes that wind dispersion is highly positively related to the wind speed. Finally, study concludes that there is no cross‐sectional (12 sectors: 40 to 200 m) random effect. Study findings have high policy implications
Econometrics · Economics · Geography · Lidar · Meteorology · Offshore wind power · Panel data · Profiling (computer programming · Quantile · Remote sensing · Submarine pipeline · Wind power · Wind speed · Computer Science · Energy, Environment, and Transportation Policies · Engineering · Environmental Science · Global Energy and Sustainability Research · Maritime Transport Emissions and Efficiency · Geology · Oceanography
| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |