Madhura Yeligeti
Biographic Data
| ID | 7993950 |
|---|---|
| NAME | Madhura Yeligeti |
| GIVEN NAMES | Madhura |
| FAMILY NAME | Yeligeti |
| SIGNATURE | YELIGETI M |
| AFFILIATIONS | Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) |
| ORCID | 0000-0002-9643-465X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Cropland and rooftops
The utilization of cropland and rooftops for solar photovoltaics (PVs) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PVs by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km × 10 km. For agrivoltaics, th…
Downscaling ERA5 wind speed data
Energy system modeling and analysis can provide comprehensive guidelines to integrate renewable energy sources into the energy system. Modeling renewable energy potential, such as wind energy, typically involves the use of wind speed time series in the modeling process. One of the most widely utilized datasets in this regard is ERA5, which provides global meteorological information. Despite its broad coverage, the coarse spatial resolution of ERA…
No prominent works on this page.
Cropland and rooftops
The utilization of cropland and rooftops for solar photovoltaics (PVs) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PVs by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km × 10 km. For agrivoltaics, th…
Downscaling ERA5 wind speed data
Energy system modeling and analysis can provide comprehensive guidelines to integrate renewable energy sources into the energy system. Modeling renewable energy potential, such as wind energy, typically involves the use of wind speed time series in the modeling process. One of the most widely utilized datasets in this regard is ERA5, which provides global meteorological information. Despite its broad coverage, the coarse spatial resolution of ERA…
Computer Science (2 works) · Environmental Science (2 works) · Meteorology (2 works) · Renewable energy (2 works) · Business (1 work) · Cartography (1 work) · Civil engineering (1 work) · Data mining (1 work) · Downscaling (1 work) · Economics (1 work)