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Abtin Ataei  - - - 
Top co-authors See all
Mohammad Heidari

70 shared publications

Department of Energy Engineering, Graduate School of the Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran

ChangKyoo Yoo

62 shared publications

Jae Hyung Park

39 shared publications

Jun-Ki Choi

18 shared publications

Department of Mechanical and Aerospace Engineering/Renewable and Clean Energy, University of Dayton, Dayton, OH, USA

Publication Record
Distribution of Articles published per year 
(2008 - 2017)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Comparison of refrigerated warehouse energy demand with R-717 and R-507 using eQUEST model Abtin Ataei, M. J Dehghani Published: 08 June 2017
International Journal of Green Energy, doi: 10.1080/15435075.2017.1337016
DOI See at publisher website
Article 1 Read 2 Citations Environmental assessment of energy production from landfill gas plants by using Long-range Energy Alternative Planning (... Pedram Nojedehi, Mohammad Heidari, Abtin Ataei, Mojtaba Neda... Published: 01 August 2016
Sustainable Energy Technologies and Assessments, doi: 10.1016/j.seta.2016.04.001
DOI See at publisher website
Article 0 Reads 2 Citations Non-Catalytic Conversion of Wheat Straw, Walnut Shell and Almond Shell into Hydrogen Rich Gas in Supercritical Water Med... Farid Safari, Mohammad Salimi, Ahmad Tavasoli, Abtin Ataei Published: 01 August 2016
Chinese Journal of Chemical Engineering, doi: 10.1016/j.cjche.2016.03.002
DOI See at publisher website
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Agricultural wastes as lignocellulosic biomasses are known as the major resources of bioenergy in the recent era. These valuable resources can be converted into useful environmental friendly fuels and chemicals. Wheat straw, walnut shell and almond shell are the main agricultural wastes in Kurdistan province, Iran. This study investigates the hydrogen-rich gas production via gasification of these biomasses in supercritical water media. Experiments were performed first, in the base case condition using a stainless steel batch micro reactor system. Then, the effect of reaction time on the total gas yield and yield of hydrogen, were investigated. It was seen that the total gas yields and gasification efficiencies increased by increasing the reaction time to 30 min and then the total gas yield was approximately remained constant. Among three used feed stocks, wheat straw with higher amount of cellulose and lower amount of lignin had the highest total gas and hydrogen yields in shorter reaction times. The maximum hydrogen yields of 7.25, 4.1 and 4.63 mmol per gram of wheat straw, almond shell and walnut shell occurred at 10, 15 and 20 min of reaction time, respectively. Graphical
Article 2 Reads 0 Citations Gasification of sugarcane bagasse in supercritical water media for combined hydrogen and power production: a novel appro... F. Safari, A. Tavasoli, A. Ataei Published: 12 July 2016
International Journal of Environmental Science and Technology, doi: 10.1007/s13762-016-1055-7
DOI See at publisher website
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A novel process based on supercritical water gasification has been used in this study for co-production of hydrogen and power from sugarcane bagasse as one of the main agricultural wastes of Iran. The cycle of the process was designed first, and then, the thermodynamic equilibrium model of the gasification process was simulated using ASPEN PLUS. The effects of temperature and feed concentration on molar fraction of main components of produced gas were investigated. The temperature was directly correlated with hydrogen production in which hydrogen and carbon monoxide production was favored at higher temperatures. The maximum hydrogen production occurred in the sugarcane bagasse concentrations about 20–30 wt%. Palladium membrane as a metallic dense membrane was used for separation of high-purity hydrogen. Hydrogen production of 8.55 kg/h and electrical power generation of 56 kW were obtained for the 20 wt% mixture of bagasse with a mass flow rate of 1000 kg/h, reactor pressure of 300 bars and temperature of 700 °C.
Article 4 Reads 1 Citation Hybrid thermal seasonal storage and solar assisted geothermal heat pump systems for greenhouses Abtin Ataei, Hoofar Hemmatabady, Seyed Yahya Nobakht Published: 25 March 2016
Advances in Energy Research, doi: 10.12989/eri.2016.4.1.087
DOI See at publisher website
Article 1 Read 1 Citation Modeling and optimization of R-717 and R-134a ice thermal energy storage air conditioning systems using NSGA-II and MOPS... Mohammad Hoseini Rahdar, Mohammad Heidari, Abtin Ataei, Jun-... Published: 01 March 2016
Applied Thermal Engineering, doi: 10.1016/j.applthermaleng.2015.11.068
DOI See at publisher website
ABS Show/hide abstract
Highlights•A modeling of an integrated vapor compression cycle and ITES was done and analyzed.•NSGA-II and MOPSO were used for optimization of the ITES.•R-717 and R134a were applied as the refrigerant for the cooling system.•NSGA-II algorithm found more precise solutions than MOPSO. AbstractIn this study, an Ice Thermal Energy Storage (ITES) is integrated to an office building air-conditioning system as a full load storage system. The R-134a and R-717 refrigeration systems by exergy, economic and environmental considerations are modeled and investigated separately. Two multi-objective optimization algorithms: Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO), are engaged to obtain the optimal design parameters which lead to the optimal objective functions, exergy efficiency and total cost rate. The optimum point from Pareto frontier of each optimization algorithm is selected for both refrigerants by using TOPSIS decision making method, and energy demand of the new system is compared to the conventional one. The results indicated that by using NSGA-II and MOPSO algorithms for the R-717 refrigerant based system, the optimum design parameters lead to electricity consumption decrease by 11% and 8% more than R-134a refrigerant based system, respectively. Furthermore, the results showed that NSGA-II is more capable to achieve more effective solutions. At the optimum point of NSGA-II for R-717 based system, the exergy efficiency and total cost rate are 49% and 255USDh−1 respectively. While the annual CO2 emission is 11% lower than the R-134a based system.