Renewable energies: modeling and optimization of production cost

Ismail El Kafazi, Rachid Bannari, El Bouzekri El Idrissi Adiba, Hmina Nabil, Tomislav Dragicevic

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)
117 Downloads (Pure)

Abstract

In this work, we aim to contribute to the modeling and the optimization of the energy production. In order to minimize the production costs, the quantity of the available green energy in the power system. The model is implemented under the GAMS 24.7.1 environment and was validated by using CPLEX.The presented model can easily combine different sources of energy, by scheduling the resources with high performance and flexibility. This optimization of production cost is applied in a real case, the cost can be reduced by 38% in winter and by 40, 89% in summer.
Original languageEnglish
JournalEnergy Procedia
Volume136
Pages (from-to)380-387
Number of pages8
ISSN1876-6102
DOIs
Publication statusPublished - Oct 2017
Event4th International Conference on Energy and Environment Research - Porto, Portugal
Duration: 17 Jul 201720 Jul 2017
Conference number: 4

Conference

Conference4th International Conference on Energy and Environment Research
Number4
CountryPortugal
CityPorto
Period17/07/201720/07/2017

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Keywords

  • Energy production
  • GAMS modeling system
  • linear modeling
  • optimization
  • renweable energy (solar; the wind)

Cite this

El Kafazi, Ismail ; Bannari, Rachid ; Adiba, El Bouzekri El Idrissi ; Nabil, Hmina ; Dragicevic, Tomislav. / Renewable energies : modeling and optimization of production cost. In: Energy Procedia. 2017 ; Vol. 136. pp. 380-387.
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Renewable energies : modeling and optimization of production cost. / El Kafazi, Ismail; Bannari, Rachid; Adiba, El Bouzekri El Idrissi; Nabil, Hmina; Dragicevic, Tomislav.

In: Energy Procedia, Vol. 136, 10.2017, p. 380-387.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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T1 - Renewable energies

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AU - El Kafazi, Ismail

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AU - Nabil, Hmina

AU - Dragicevic, Tomislav

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N2 - In this work, we aim to contribute to the modeling and the optimization of the energy production. In order to minimize the production costs, the quantity of the available green energy in the power system. The model is implemented under the GAMS 24.7.1 environment and was validated by using CPLEX.The presented model can easily combine different sources of energy, by scheduling the resources with high performance and flexibility. This optimization of production cost is applied in a real case, the cost can be reduced by 38% in winter and by 40, 89% in summer.

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KW - linear modeling

KW - optimization

KW - renweable energy (solar; the wind)

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