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Mehdi Mehrpooya   Dr.  Institute, Department or Faculty Head 
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Mehdi Mehrpooya published an article in April 2018.
Top co-authors
Marc A. Rosen

233 shared publications

Clean Energy Research Laboratory, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology; 2000 Simcoe Street North Oshawa Ontario L1H 7K4 Canada

Ali Vatani

47 shared publications

Professor of Chemical Engineering, Institute of LNG, College of Engineering, University of Tehran, Tehran, Iran

Ahmad Hajinezhad

15 shared publications

Department of Renewable Energy and the Environment, Faculty of New Sciences and Technologies; University of Tehran; Tehran Iran

7
Publications
23
Reads
0
Downloads
19
Citations
Publication Record
Distribution of Articles published per year 
(2009 - 2018)
Total number of journals
published in
 
6
 
Publications See all
BOOK-CHAPTER 6 Reads 0 Citations Exergy-Based Performance Assessment of Biogas Plants: Application of Advanced Exergy and Exergoeconomic Analyses for Eva... Hojat Ansarinasab, Mehdi Mehrpooya Published: 20 April 2018
Biofuel and Biorefinery Technologies, doi: 10.1007/978-3-319-77335-3_14
DOI See at publisher website
Article 0 Reads 0 Citations Effects of membrane electrode assembly fabrication parameters on the proton exchange membrane fuel cell performance Mehdi Mehrpooya, Giti Nouri, M. Hassan Eikani, Nahid Khandan... Published: 07 April 2015
International Journal of Ambient Energy, doi: 10.1080/01430750.2015.1023842
DOI See at publisher website
Article 0 Reads 14 Citations Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine Mohammad-Ali Ahmadi, Mehdi Mehrpooya, Marc A. Rosen Published: 17 February 2015
Sustainability, doi: 10.3390/su7022243
DOI See at publisher website ABS Show/hide abstract
Different variables affect the performance of the Stirling engine and are considered in optimization and designing activities. Among these factors, torque and power have the greatest effect on the robustness of the Stirling engine, so they need to be determined with low uncertainty and high precision. In this article, the distribution of torque and power are determined using experimental data. Specifically, a novel polynomial approach is proposed to specify torque and power, on the basis of previous experimental work. This research addresses the question of whether GMDH (group method of data handling)-type neural networks can be utilized to predict the torque and power based on determined parameters.
Article 4 Reads 0 Citations Energy and exergy analyses of five conventional liquefied natural gas processes Ali Vatani, Mehdi Mehrpooya, Ali Palizdar Published: 09 April 2014
International Journal of Energy Research, doi: 10.1002/er.3193
DOI See at publisher website
Article 5 Reads 1 Citation Modification of an Industrial Ethane Recovery Plant Using Mixed Integer Optimization and Shuffled Frog Leaping Algorithm Ali Vatani, Mehdi Mehrpooya, Hallas Pakravesh Published: 11 December 2012
Arabian Journal for Science and Engineering, doi: 10.1007/s13369-012-0433-9
DOI See at publisher website
Article 4 Reads 2 Citations Optimum design of integrated liquid recovery plants by variable population size genetic algorithm Mehdi Mehrpooya, Ali Vatani, S. M. Ali Mousavian Published: 23 November 2010
The Canadian Journal of Chemical Engineering, doi: 10.1002/cjce.20359
DOI See at publisher website
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