Journal of Green Energy Research and Innovation
Quarterly

Optimal Configuration of Solar Combined Hydrogen, Heat, and ‎Power (S-CHHP) by Considering Reliability Model

Document Type : Research article

Authors

Mojtaba Pirmohammad 1
Sajad Bagheri 1
Reza Ghanizadeh 2
Mohammad Reza Miveh 3

1 Department of Electrical Engineering, Ar.C., Islamic Azad University, Arak, Iran

2 Department of Electrical Engineering, Ur.C., Islamic Azad University, Urmia, Iran

3 Department of Electrical Engineering, Tafresh University, Tafresh, Iran

https://doi.org/10.61882/jgeri.2.4.45
Abstract
Environmental and economic concerns of utilizing fossil fuels reveal the need to use alternative ‎sources. Due to various kinds of energy demands, choosing the proper generation units is the ‎main aim of energy administrators.   Simultaneous generation units are the proper choice to ‎meet several kinds of demands. Combined hydrogen, heat, and power (CHHP) is a cogeneration ‎system to generates three kinds of energy demands.  Presenting the comprehensive reliability ‎model of CHHP is the main part of this study. State-space and continuous Markov models with ‎hydrogen, heat, and power generation systems are considered in the reliability model of CHHP. ‎Loss of load expectation (LOLE) and expected energy not supplied (EENS) are considered as ‎reliability indices to verify the efficiency of the proposed reliability model of the CHHP. Due ‎to the important role of communication and data gathering, sending and receiving, the necessity ‎to have a system to minimize the errors in data gathering and processing, and sending is ‎unavoidable. Natural language program (NLP) is the best tool for managing data received, ‎processing, and sending within the system with high accuracy.‎
 

Graphical Abstract

Optimal Configuration of Solar Combined Hydrogen, Heat, and ‎Power (S-CHHP) by Considering Reliability Model

Highlights

❖ Presenting reliability model of solar-based-CHHP (S-CHHP).
❖ Utilizing LSTM-CNN to predict system uncertainties.
❖ Utilizing K-means clustering as a scenario reduction method.
❖ Combined hydrogen, heat and power (CHHP) to generate three kinds of energy demands. 

Keywords

S-CHHP
Markov Chain
Shark Smell Optimizer

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, have been completely observed by the authors.

 

Credit Authorship Contribution Statement

Mojtaba Pirmohammad Talatape: Conceptualization, Data curation, Investigation, Software, Validation, Roles/Writing - original draft, Writing-review & editing. Sajad Bagheri : Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing-review & editing. Reza Ghanizadeh: Visualization, Writing-review & editing. Mohammad Reza Miveh: Investigation, Methodology, Resources.

 

Bibliography

Mojtaba Pirmohammad Talatape was born in Iran, in 1992. He is currently a PhD student at Islamic Azad University, Arak Branch. He is currently a lecturer at Azad University and manager of the charging department in a private company. He works as the manager of the charging unit in the field of car batteries, UPS and reverse charging, and since 2022, he has been working as a referee for international conferences in the field of electricity distribution and renewable energy. His research interests are power system stability, reactive power control in transmission and distribution systems, power quality studies and electric energy production in renewable systems and related issues.

 Sajad Bagheri was born in Arak, Iran, in 1989. He received the Ph.D. degree in electrical engineering from Semnan University, Semnan, Iran, in 2017. He is currently an Assistant Professor with the Electrical Engineering Faculty, Islamic Azad University, Arak Branch, Arak, Iran. Also, he is research Consultant of the Markazi province electric distribution company. His research interests include power system protection, Diagnosis, condition monitoring and detection of winding movement of power transformers and Renewable Resources. Dr. Bagheri is a member of the Young Researchers and Elite Club, the Iranian Wind Energy Association and the Iranian Society of Smart Grid. Also, He was selected as the top Researcher at the universities of Markazi province in the field of electrical engineering and top Researcher of Young researchers and Elite Club of Islamic Azad University, Arak Branch at 2016 & 2019.

Reza Ghanizadeh was born in Mianeh, Iran, in 1987. He received his B.Sc. degree in Electrical Engineering from University of Mohaghegh Ardabili, Ardabil, Iran, in 2008, and his M.Sc. degree from University of Birjand, Birjand, Iran, in 2012. He is currently working as an assistant professor at Urmia Azad University. His research interests are power system stability, reactive power control in transmission & distribution systems, power quality studies and FACTS devices.

Mohammad Reza Miveh received his Ph.D. degree in Electrical Engineering from Universiti Teknologi Malaysia (UTM), Malaysia, in 2017. Currently, he is an Assistant Professor with the Department of Electrical Engineering, Tafresh University, Iran. His main research interests include control and protection of large-scale hybrid AC/DC grids, distributed generation and microgrids.

Citation

M. Pirmohammad, S. Bagheri, R. Ghanizadeh, and M. R. Miveh, "Optimal Configuration of Solar Combined Hydrogen, Heat and Power (S-CHHP) by Considering Reliability Model," Journal of Green Energy Research and Innovation, vol. 2, no. 4, pp. 45-57, 2025.

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  • Receive Date 01 July 2025
  • Revise Date 31 July 2025
  • Accept Date 29 August 2025
  • Publish Date 01 December 2025

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