Environmental data set for the design and analysis of the Photovoltaic system in the Jordan Valley
| Autor: | Mohammad Al-Addous, Christina B. Class, Zakariya Dalala, Firas Alawneh |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Water pumping
Renewable energy Environmental data Irradiance lcsh:Computer applications to medicine. Medical informatics Civil engineering Wind speed 03 medical and health sciences 0302 clinical medicine On-grid lcsh:Science (General) 030304 developmental biology 0303 health sciences Multidisciplinary Energy business.industry Photovoltaic system Grid Electrical grid Off-grid Environmental science lcsh:R858-859.7 business Photovoltaic 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief Data in Brief, Vol 31, Iss, Pp 105794-(2020) |
| ISSN: | 2352-3409 |
| Popis: | Renewable energy penetration in the national electrical grid in Jordan has been rapidly increasing in the last few years, touching nearly 30%. Limited grid capacity has been a driver to slow down large-scale projects and has motivated increased attention towards off-grid photovoltaic (PV) systems. Planning properly-sized on-grid and off-grid systems requires accurate knowledge of the environmental and irradiance conditions at the installation site. As off-grid systems are equally of interest to non-critical types of loads, investments are directed towards agricultural applications like water pumping and desalination. To assess the potential of expanding the renewable energy penetration in agricultural areas in the Jordan valley and surrounding areas, this article presents annually measured environmental data including irradiance, temperature and wind speed, in addition to data related to soling on an existing off-grid PV system installed in the Jordan Valley. These data are used in the research article entitled “Performance Analysis of Off-grid PV systems in the Jordan Valley”, Al-Addous et al., 2017, and in the research article entitled “Modelling and Quantifying of Dust Accumulation Impact on PV Module Performance” Al-Addous et al., 2019. Data were collected and gathered using calibrated, high accuracy sensors installed at different parts of the installed plant. |
| Databáze: | OpenAIRE |
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