PREDICTIVE MODELING FOR SUSTAINABLE ENERGY SOLUTIONS Conference Paper uri icon

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.

published proceedings

  • Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems (MEMA 2015)

author list (cited authors)

  • El Amrani, C., & Bouhali, O.

complete list of authors

  • El Amrani, Chaker||Bouhali, Othmane

publication date

  • January 2015