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Mehdi Aliehyaei   Dr.  Institute, Department or Faculty Head 
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Mehdi Aliehyaei published an article in August 2018.
Top co-authors See all
Ibrahim Dincer

423 shared publications

Clean Energy Research Laboratory (CERL), University of Ontario Institute of Technology (UOIT), Oshawa, L1L1C8, ON

Ardalan Ahmadi

236 shared publications

Associate Professor, Faculty of Civil Engineering, Shahrood Univ. of Technology, 36199-95161 Shahrood, Iran (corresponding author)

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

Mohammad H. Ahmadi

117 shared publications

Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran

F. Atabi

19 shared publications

Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

14
Publications
36
Reads
2
Downloads
23
Citations
Publication Record
Distribution of Articles published per year 
(2010 - 2018)
Total number of journals
published in
 
8
 
Publications See all
Article 1 Read 0 Citations Economic, exergy, and the environmental analysis of the use of internal combustion engines in parallel-to-network mode f... Saman Chegini, M. A. Ehyaei Published: 19 August 2018
Journal of the Brazilian Society of Mechanical Sciences and Engineering, doi: 10.1007/s40430-018-1349-4
DOI See at publisher website
Article 0 Reads 0 Citations Reduction of energy consumption in residential buildings with green roofs in three different climates of Iran M. Ebadati, M. A. Ehyaei Published: 28 June 2018
Advances in Building Energy Research, doi: 10.1080/17512549.2018.1489894
DOI See at publisher website
Article 5 Reads 0 Citations Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fl... E. Ghasemian, M. A. Ehyaei Published: 26 October 2017
International Journal of Energy and Environmental Engineering, doi: 10.1007/s40095-017-0251-7
DOI See at publisher website
Article 5 Reads 0 Citations Analysis of an Internal Combustion Engine Using Porous Foams for Thermal Energy Recovery Mehdi Ali Ehyaei, Mehdi Tanehkar, Marc A. Rosen Published: 11 March 2016
Sustainability, doi: 10.3390/su8030267
DOI See at publisher website ABS Show/hide abstract
Homogeneous and complete combustion in internal combustion engines is advantageous. The use of a porous foam in the exhaust gas in an engine cylinder for heat recovery is examined here with the aim of reducing engine emissions. The internal combustion engine with a porous core regenerator is modeled using SOPHT software, which solved the differential equations for the thermal circuit in the engine. The engine thermal efficiency is observed to increase from 43% to 53% when the porous core regenerator is applied. Further, raising the compression ratio causes the peak pressure and thermal efficiency to increase, e.g., increasing the compression ratio from 13 to 15 causes the thermal efficiency and output work to increase from 53% to 55% and from 4.86 to 4.93 kJ, respectively. The regenerator can also be used as a catalytic converter for fine particles and some other emissions. The regenerator oxidizes unburned hydrocarbons. Meanwhile, heat recovered from the exhaust gases can reduce fuel consumption, further reducing pollutant emissions from the internal combustion engine.
Article 1 Read 1 Citation Exergy, Economic and Environmental Analyses of Gas Turbine Inlet Air Cooling with a Heat Pump Using a Novel System Confi... Mohammad Reza Majdi Yazdi, Mehdi Aliehyaei, Marc A. Rosen Published: 22 October 2015
Sustainability, doi: 10.3390/su71014259
DOI See at publisher website ABS Show/hide abstract
Gas turbines incur a loss of output power during hot seasons due to high ambient air temperatures, and input air cooling systems are often used to partly offset this problem. Here, results are reported for an investigation of the utilization of a heat pump to cool the inlet air of a gas turbine compressor. The analyses are carried out for two climates: the city of Yazd, Iran, which has a hot, arid climate, and Tehran, Iran, which has a temperate climate. The heat pump input power is obtained from the gas turbine. The following parameters are determined, with and without the heat pump: net output power, first and second law efficiencies, quantities and costs of environmental pollutants, entropy generation and power generation. The results suggest that, by using the air-inlet cooling system, the mean output power increases during hot seasons by 11.5% and 10% for Yazd and Tehran, respectively, and that the costs of power generation (including pollution costs) decrease by 11% and 10% for Yazd and Tehran, respectively. Also, the rate of generation of pollutants such as NOx and CO decrease by about 10% for Yazd and 35% for Tehran, while the average annual entropy generation rate increases by 9% for Yazd and 7% for Tehran, through air-inlet cooling. The average increase of the system first law efficiency is 2% and of the system second law efficiency is 1.5% with the inlet-air cooling system.
Article 1 Read 1 Citation Optimization of a Finned Shell and Tube Heat Exchanger Using a Multi-Objective Optimization Genetic Algorithm Heidar Sadeghzadeh, Mehdi Aliehyaei, Marc Rosen Published: 25 August 2015
Sustainability, doi: 10.3390/su70911679
DOI See at publisher website ABS Show/hide abstract
Heat transfer rate and cost significantly affect designs of shell and tube heat exchangers. From the viewpoint of engineering, an optimum design is obtained via maximum heat transfer rate and minimum cost. Here, an analysis of a radial, finned, shell and tube heat exchanger is carried out, considering nine design parameters: tube arrangement, tube diameter, tube pitch, tube length, number of tubes, fin height, fin thickness, baffle spacing ratio and number of fins per unit length of tube. The “Delaware modified” technique is used to determine heat transfer coefficients and the shell-side pressure drop. In this technique, the baffle cut is 20 percent and the baffle ratio limits range from 0.2 to 0.4. The optimization of the objective functions (maximum heat transfer rate and minimum total cost) is performed using a non-dominated sorting genetic algorithm (NSGA-II), and compared against a one-objective algorithm, to find the best solutions. The results are depicted as a set of solutions on a Pareto front, and show that the heat transfer rate ranges from 3517 to 7075 kW. Also, the minimum and maximum objective functions are specified, allowing the designer to select the best points among these solutions based on requirements. Additionally, variations of shell-side pressure drop with total cost are depicted, and indicate that the pressure drop ranges from 3.8 to 46.7 kPa.
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