Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mebrouk Bellaoui"'
Autor:
Kada Bouchouicha, Nadjem Bailek, A. Razagui, Mebrouk Bellaoui, Nour El Islam Bachari, Mohamed El-Shimy
Publikováno v:
International Journal of Energy Sector Management. 15:119-138
Purpose This study aims to estimate the electric power production of the 20 MWp solar photovoltaic (PV) plant installed in the Adrar region, South of Algeria using minimal knowledge about weather conditions. Design/methodology/approach In this study,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c930d9179d5260553f6d6f677e42f59
https://doi.org/10.1108/ijesm-12-2019-0017
https://doi.org/10.1108/ijesm-12-2019-0017
Publikováno v:
Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450
This study proposes a hybrid solar radiation prediction model combining a Numerical Weather Prediction (NWP) simulation and an Artificial Neural Networks model (ANN). Weather Research and Forecasting (WRF) model is used to simulate meteorological and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbd6da4770bf4e153f3a7d8301740704
https://doi.org/10.1007/978-3-030-63846-7_55
https://doi.org/10.1007/978-3-030-63846-7_55
Publikováno v:
ICIST
This paper presents a computational study of aH-Darrieus vertical axis wind turbine with three straight blades by using ANSYS Fluent 6.3.26 software. Two dimensional (2D) CFD simulations were carried out in order to determine the effect of solidity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45925cb08ad79856f3a239aabe1794f5
https://doi.org/10.1145/3447568.3448554
https://doi.org/10.1145/3447568.3448554
Publikováno v:
Measurement. 183:109802
In solar energy studies, solar irradiance data at a given site are a fundamental input for reliably predicting performance behavior and the potential of solar applications. Unfortunately, this parameter is not measured in many parts of the world, esp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c63c2cdbf620e045ccce703d51a6031a
https://doi.org/10.1016/j.measurement.2021.109802
https://doi.org/10.1016/j.measurement.2021.109802
Publikováno v:
International Journal of Engineering Research in Africa. 31:120-134
Thermal anomaly Detection prior to earthquake events has been widely confirmed by researchers over the past decade. In this paper, we use robust satellite technique approach (RST) on a collection of six years of MODIS satellite data, representing lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ab0048c6b3dcbc9d2c491ea51f74f2
https://doi.org/10.4028/www.scientific.net/jera.31.120
https://doi.org/10.4028/www.scientific.net/jera.31.120
Publikováno v:
Advances in Space Research. 59:2645-2657
Detection of thermal anomaly prior to earthquake events has been widely confirmed by researchers over the past decade. One of the popular approaches for anomaly detection is the Robust Satellite Approach (RST). In this paper, we use this method on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d892c9849c861b4ffc93377fc93a38d6
https://doi.org/10.1016/j.asr.2017.03.004
https://doi.org/10.1016/j.asr.2017.03.004
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030372064
The Measurements of the solar radiation is important in choosing sites to install projects with solar systems. Adrar region is classified from the high potential solar areas in the world. In this study, we using the atmospheric products of satellite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfb3c369eb813ea1675178c162ff5ced
https://doi.org/10.1007/978-3-030-37207-1_16
https://doi.org/10.1007/978-3-030-37207-1_16
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030372064
In this paper, the Artificial Neural Networks (ANN) model have been exploited for estimation of the energy production of the 20-MW solar photovoltaic (PV) plant installed in Adrar in terms of energy yield, using a minimal knowledge of meteorological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66264cf7f2b33e9538e010037177d85
https://doi.org/10.1007/978-3-030-37207-1_20
https://doi.org/10.1007/978-3-030-37207-1_20
Publikováno v:
Internet of Everything and Big Data ISBN: 9781003038412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e760cf477c7ea059aedebf6e05eef767
https://doi.org/10.5220/0009775204050408
https://doi.org/10.5220/0009775204050408