General Information
    • ISSN: 1793-821X (Print)
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest.
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  • Apr 29, 2019 News! Vol. 7, No. 3 has been published with online version. 4 peer reviewed papers are published in this issue.   [Click]
School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and editors.

JOCET 2017 Vol.5(4): 334-338 ISSN: 1793-821X
DOI: 10.18178/JOCET.2017.5.4.393

Scheduling of a Renewable Hybrid Tri-generation

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 proposes 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 currently working with the simulated data and the case application has started.

Index Terms—Renewable energy, Tri-generation, CCHP, scheduling, solar energy, wind energy.

Secil Ercan is with Marmara University, Turkey (e-mail:
Gulgun Kayakutlu is with Istanbul Technical University, Industrial Engineering Department, Istanbul, Turkey (e-mail:


Cite:Secil Ercan and Gulgun Kayakutlu, "Scheduling of a Renewable Hybrid Tri-generation," Journal of Clean Energy Technologies vol. 5, no. 4, pp. 334-338, 2017.

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