Predictive modeling for sustainable energy solutions

Chaker El Amrani, Othmane Bouhali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015
PublisherJohn Wiley and Sons Inc.
Pages531-537
Number of pages7
ISBN (Electronic)9781119065272
Publication statusPublished - 1 Jan 2015
EventTMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015 - Doha, Qatar
Duration: 11 Jan 201514 Jan 2015

Other

OtherTMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015
CountryQatar
CityDoha
Period11/1/1514/1/15

Fingerprint

Energy security
Solar radiation
Wind turbines
Solar energy
Wind power
Atmospheric humidity
Carbon
Economics
Processing
Temperature

Keywords

  • Simulation
  • Sustainable energy
  • WRF

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)
  • Mechanics of Materials
  • Building and Construction

Cite this

El Amrani, C., & Bouhali, O. (2015). Predictive modeling for sustainable energy solutions. In Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015 (pp. 531-537). John Wiley and Sons Inc..

Predictive modeling for sustainable energy solutions. / El Amrani, Chaker; Bouhali, Othmane.

Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015. John Wiley and Sons Inc., 2015. p. 531-537.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

El Amrani, C & Bouhali, O 2015, Predictive modeling for sustainable energy solutions. in Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015. John Wiley and Sons Inc., pp. 531-537, TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015, Doha, Qatar, 11/1/15.
El Amrani C, Bouhali O. Predictive modeling for sustainable energy solutions. In Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015. John Wiley and Sons Inc. 2015. p. 531-537
El Amrani, Chaker ; Bouhali, Othmane. / Predictive modeling for sustainable energy solutions. Proceedings of the TMS Middle East - Mediterranean Materials Congress on Energy and Infrastructure Systems, MEMA 2015. John Wiley and Sons Inc., 2015. pp. 531-537
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