@inproceedings{c60c75d9071645c984ba2f0da7600238,
title = "Predictive modeling for sustainable energy solutions",
abstract = "Sustainable energy solutions such as wind and solar power are the key to energy security and economic progress. They are also the best way to reduce carbon emissions and preserve a healthy environment. Modeling these solutions is necessary to compute parameters governing the energy production. In this paper we describe the use of the Weather Research and Forecasting (WRF) Model, to estimate annual energy output from distributed wind turbines and solar panels. The WRF is a numerical weather prediction system designed to serve the atmospheric research with spatial resolution ranging from a few meters to thousands of kilometers. The WRF predicts temperature, solar radiation, humidity, wind speed, etc. for short and long period of time, which can be used to calculate the energy generation by sustainable systems. The WRF is an intensive processing model. The paper discusses as well its porting to high performance computing platform to accelerate the application run-time.",
keywords = "Simulation, Sustainable energy, WRF",
author = "{El Amrani}, Chaker and Othmane Bouhali",
year = "2015",
doi = "10.1002/9781119090427.ch56",
language = "English",
series = "Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015",
publisher = "John Wiley and Sons Inc.",
pages = "531--537",
editor = "Ibrahim Karaman and Raymundo Arroyave and Eyad Masad and Eyad Masad",
booktitle = "Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015",
address = "United States",
note = "TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015 ; Conference date: 11-01-2015 Through 14-01-2015",
}