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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2017 Vol.7(1): 13-18 ISSN: 2010-3697
DOI: 10.7763/IJMO.2017.V7.550

Renewable Energy Based Tri-Generation Scheduling Model for an Industrial Center

Secil Ercan and Gulgun Kayakutlu
Abstract—Hybrid energy resources are generally accepted with the concern of global pollution and warming. Optimization studies on the detailed scheduling of hybrid energy usage are trying to find solutions for complex problems including uncertainty and lots of data. This paper gives the comparison of applying a MIP model and a stochastic model for detailed scheduling of a tri-generation system using wind and solar sources with thermal collectors. The proposed hourly scheduling will allow balancing the production and consumption as well as giving more realistic commitments the day ahead. The model is applied and compared for regional energy production to respond the demands of an industrial center in Turkey.

Index Terms—Scheduling, stochastic model, tri-generation, CCHP, solar energy, wind energy.

The authors are with Istanbul Technical University, Department of Industrial Engineering, Istanbul, Turkey (e-mail: ercansec@itu.edu.tr, kayakutlu@itu.edu.tr).

[PDF]

Cite: Secil Ercan and Gulgun Kayakutlu, "Renewable Energy Based Tri-Generation Scheduling Model for an Industrial Center," International Journal of Modeling and Optimization vol. 7, no. 1, pp. 13-18, 2017.

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