Renewable energies: modeling and optimization of production cost

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

doi:10.1016/j.egypro.2017.10.267

Renewable energies: modeling and optimization of production cost

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

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

8 Citationer (Scopus)

233 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.

Originalsprog	Engelsk
Tidsskrift	Energy Procedia
Vol/bind	136
Sider (fra-til)	380-387
Antal sider	8
ISSN	1876-6102
DOI	https://doi.org/10.1016/j.egypro.2017.10.267
Status	Udgivet - okt. 2017
Begivenhed	4th International Conference on Energy and Environment Research - Porto, Portugal Varighed: 17 jul. 2017 → 20 jul. 2017 Konferencens nummer: 4

Konference

Konference	4th International Conference on Energy and Environment Research
Nummer	4
Land/Område	Portugal
By	Porto
Periode	17/07/2017 → 20/07/2017

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10.1016/j.egypro.2017.10.267

Open Access articleForlagets udgivne version, 879 KBLicens: CC BY-NC-ND 4.0

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Citationsformater

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title = "Renewable energies: modeling and optimization of production cost",

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.",

keywords = "Energy production, GAMS modeling system, linear modeling, optimization, renweable energy (solar; the wind)",

author = "{El Kafazi}, Ismail and Rachid Bannari and Adiba, {El Bouzekri El Idrissi} and Hmina Nabil and Tomislav Dragicevic",

year = "2017",

month = oct,

doi = "10.1016/j.egypro.2017.10.267",

language = "English",

volume = "136",

pages = "380--387",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier",

note = "4th International Conference on Energy and Environment Research, ICEER ; Conference date: 17-07-2017 Through 20-07-2017",

}

TY - GEN

T1 - Renewable energies

T2 - 4th International Conference on Energy and Environment Research

AU - El Kafazi, Ismail

AU - Bannari, Rachid

AU - Adiba, El Bouzekri El Idrissi

AU - Nabil, Hmina

AU - Dragicevic, Tomislav

N1 - Conference code: 4

PY - 2017/10

Y1 - 2017/10

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.

AB - 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.

KW - Energy production

KW - GAMS modeling system

KW - linear modeling

KW - optimization

KW - renweable energy (solar; the wind)

U2 - 10.1016/j.egypro.2017.10.267

DO - 10.1016/j.egypro.2017.10.267

M3 - Conference article in Journal

SN - 1876-6102

VL - 136

SP - 380

EP - 387

JO - Energy Procedia

JF - Energy Procedia

Y2 - 17 July 2017 through 20 July 2017

ER -

Renewable energies: modeling and optimization of production cost

Abstract

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