التفاصيل البيبلوغرافية
| العنوان: |
Wind Energy Assessment for Renewable Energy Communities |
| المؤلفون: |
Sandeep Araveti, Cristian Aguayo Quintana, Evita Kairisa, Anna Mutule, Juan Pablo Sepulveda Adriazola, Conor Sweeney, Paula Carroll |
| المصدر: |
Wind; Volume 2; Issue 2; Pages: 325-347 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2022 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
renewable energy communities, renewable energy, wind speed, reanalysis data |
| الوصف: |
Renewable and local energy communities are viewed as a key component to the success of the energy transition. In this paper, we estimate wind power potential for such communities. Acquiring the most accurate weather data is important to support decision-making. We identify the most reliable publicly available wind speed data and demonstrate a case study for typical energy community scenarios such as a single commercial turbine at coastal and inland locations in Ireland. We describe our assessment methodology to evaluate the quality of the wind source data by comparing it with meteorological observations. We make recommendations on which publicly available wind data sources, such as reanalysis data sources (MERRA-2, ERA-5), PVGIS, and NEWA are best suited to support Renewable Energy Communities interested in exploring the possibilities of renewable wind energy. ERA5 is deemed to be the most suitable wind data source for these locations, while an anomaly is noted in the NEWA data. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
https://dx.doi.org/10.3390/wind2020018Test |
| DOI: |
10.3390/wind2020018 |
| الإتاحة: |
https://doi.org/10.3390/wind2020018Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.AAAC7C3 |
| قاعدة البيانات: |
BASE |
