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Mohammad Hosein Ahmadi   Dr.  University Educator/Researcher 
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Mohammad Hosein Ahmadi published an article in January 2019.
Top co-authors See all
Michel Feidt

46 shared publications

LEMTA, URA CNRS 7563, University of Lorraine, 54518 Vandoeuvre-lès-Nancy, France

Mohammad Ali Ahmadi

42 shared publications

Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering; Petroleum University of Technology (PUT); Ahwaz Iran

W.M. Yan

35 shared publications

Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

F. Pourfayaz

31 shared publications

Department of Renewable Energies and Environmental; Faculty of New Sciences and Technologies; University of Tehran; Tehran Iran

Kwok-Wing Chau

1 shared publications

Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People's Republic of China

Publication Record
Distribution of Articles published per year 
(2014 - 2019)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Current status and future forecasting of biofuels technology development Mohammad Dehghani Madvar, Alireza Aslani, Mohammad Hossein A... Published: 04 January 2019
International Journal of Energy Research, doi: 10.1002/er.4344
DOI See at publisher website
Article 0 Reads 0 Citations Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water n... Alireza Baghban, Mostafa Kahani, Mohammad Alhuyi Nazari, Moh... Published: 01 January 2019
International Journal of Heat and Mass Transfer, doi: 10.1016/j.ijheatmasstransfer.2018.09.041
DOI See at publisher website
Article 0 Reads 0 Citations Technical and economical optimization of CHP systems by using gas turbine and energy recovery system Ahmad Zeini Vand, Mojtaba Mirzaei, Mohammad Hossein Ahmadi, ... Published: 30 December 2018
Mathematical Modelling of Engineering Problems, doi: 10.18280/mmep.050403
DOI See at publisher website
Article 0 Reads 0 Citations Thermodynamic and economic analysis of performance evaluation of all the thermal power plants: A review Mohammad H. Ahmadi, Mohammad Alhuyi Nazari, Milad Sadeghzade... Published: 27 December 2018
Energy Science & Engineering, doi: 10.1002/ese3.223
DOI See at publisher website ABS Show/hide abstract
Surging in energy demand makes it necessary to improve performance of plant equipment and optimize operation of thermal power plants. Inasmuch as thermal power plants depend on fossil fuels, their optimization can be challenging due to the environmental issues which must be considered. Nowadays, the vast majority of power plants are designed based on energetic performance obtained from first law of thermodynamic. In some cases, energy balance of a system is not appropriate tool to diagnose malfunctions of the system. Exergy analysis is a powerful method for determining the losses existing in a system. Since exergy analysis can evaluate quality of the energy, it enables designers to make intricate thermodynamic systems operates more efficiently. These days, power plant optimization based on economic criteria is a critical problem because of their complex structure. In this study, a comprehensive analysis including energy, exergy, economic (3‐E) analyses, and their applications related to various thermal power plants are reviewed and scrutinized.
Article 1 Read 0 Citations Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids Alireza Baghban, Ali Jalali, Mojtaba Shafiee, Mohammad Hosse... Published: 25 November 2018
Engineering Applications of Computational Fluid Mechanics, doi: 10.1080/19942060.2018.1542345
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Nanofluid viscosity is an important physical property in convective heat transfer phenomena. However, the current theoretical models for nanofluid viscosity prediction are only applicable across a limited range. In this study, 1277 experimental data points of distinct nanofluid relative viscosity (NF-RV) were gathered from a plenary literature review. In order to create a general model, adaptive network-based fuzzy inference system (ANFIS) code was expanded based on the independent variables of temperature, nanoparticle diameter, nanofluid density, volumetric fraction, and viscosity of the base fluid. A statistical analysis of the data for training and testing (with R2 = .99997) demonstrates the accuracy of the model. In addition, the results obtained from ANFIS are compared to similar experimental data and show absolute and maximum average relative deviations of about 0.42 and 6.45%, respectively. Comparisons with other theoretical models from previous research is used to verify the model and prove the prediction capabilities of ANFIS. Consequently, this tool can be of huge value in helping chemists and mechanical and chemical engineers – especially those who are dealing with heat transfer applications by nanofluids – by providing highly accurate predictions of NF-RVs.
Article 0 Reads 0 Citations Renewable energy harvesting with the application of nanotechnology: A review Mohammad H. Ahmadi, Mahyar Ghazvini, Mohammad Alhuyi Nazari,... Published: 14 November 2018
International Journal of Energy Research, doi: 10.1002/er.4282
DOI See at publisher website