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Marc Rosen      
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Marc Rosen published an article in June 2018.
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S. Ahmed

1925 shared publications

S. King

896 shared publications

J. JIANG

226 shared publications

S. Nguyen

195 shared publications

Ibrahim Dincer

193 shared publications

248
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Distribution of Articles published per year 
(1970 - 2018)
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86
 
Publications See all
Article 0 Reads 0 Citations Multi-objective Optimization of an Integrated Gasification Combined Cycle for Hydrogen and Electricity Production Maan Al-Zareer, Ibrahim Dincer, Marc A. Rosen Published: 01 June 2018
Computers & Chemical Engineering, doi: 10.1016/j.compchemeng.2018.06.004
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In this paper, an integrated coal gasification combined cycle system for the production of hydrogen and electricity is optimized in terms of energy and exergy efficiencies, and the amount and cost of the produced hydrogen and electricity. The integrated system is optimized by focusing on the conversion process of coal to syngas. A novel optimization process is developed which integrates an Artificial Neural Network with a genetic algorithm. The gasification system is modeled and simulated with Aspen Plus for large ranges of operating conditions, where the neural network is used to represent the simulation results mathematically. The mathematical model is then optimized using a genetic algorithm method. The optimization demonstrates that the lower is the grade of coal of the three considered coals, the less expensive is the hydrogen and electricity that can be produced by the considered integrated gasification combined cycle (IGCC) system.
Article 0 Reads 0 Citations Energy modelling and analysis of a multi-generation renewable energy system for dairy farm applications M. A. Cuomo, E. D. Kool, B. V. Reddy, M. A. Rosen Published: 28 May 2018
Biofuels, doi: 10.1080/17597269.2018.1469342
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A multi-output energy-generation system for providing electricity and cooling for a grid-independent Ontario dairy farm is investigated. A range of biogas-fed micro turbines coupled with absorption refrigeration units and an organic Rankine cycle for heat recovery are considered to meet the electrical and cooling needs of farm sizes between 250 and 6000 cows. An energy analysis is conducted for the entire system and each subsystem. It is found that absorption refrigerators make best use of the energy in the exhaust stream, and increasing the amount of energy input to this subsystem increases overall system energy efficiency. Overall system energy efficiencies vary from 9 to 40%, increasing with farm size, while the energy efficiency of the bottoming cycle is 32–40% depending on farm size. For the range of configurations considered, electricity generation exceeds the farm's internal energy requirements, presenting opportunities for the sale of electricity.
Article 0 Reads 0 Citations Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview MING TANG, Huchang Liao, Zhengjun Wan, Enrique Herrera-Viedm... Published: 21 May 2018
Sustainability, doi: 10.3390/su10051655
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Sustainability (SUS) is a journal in the field of environmental, cultural, economic and social sustainability of human beings and civilization, which was founded in 2009. This paper provides a comprehensive bibliometric overview of the journal and 6459 publications from 2009 to 2018. In the paper, we first introduce the materials and methods used. Next, we provide the bibliometric results in four parts. In the first part, we present the publication structure and citation structure of SUS, including annual trends of publications and citations, sources that cite SUS publications, and the most highly cited papers in SUS. The primary influential countries and institutes as well as their co-authorship networks are illustrated in the second part. The co-citation networks of cited references, journals and authors are shown in the third part. Finally, the co-occurrence network of keywords and bursting citation keywords is detected. VOSviewer and CiteSpace software packages are used for graphical visualization.
Article 3 Reads 0 Citations Model development and analysis of a novel high-temperature electrolyser for gas phase electrolysis of hydrogen chloride ... Farrukh Khalid, Ibrahim Dincer, Marc A. Rosen Published: 01 May 2018
International Journal of Hydrogen Energy, doi: 10.1016/j.ijhydene.2018.03.030
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In this study, a high temperature electrolyser for the gas phase electrolysis of hydrogen chloride for hydrogen production is proposed and assessed. A detailed electrochemical model is developed to study the J-E characteristics for the proposed electrolyser (a solid oxide electrolyser based on a proton conducting electrolyte). The developed model accounts for all major losses, namely activation, concentration and ohmic. Energy and exergy analyses are carried out, and the energy and exergy efficiencies of the proposed electrolyser are determined to be 41.1% and 39.0%, respectively. The simulation results show that at T = 1073 K, P = 100.325 kPa and J = 1000 A/m2, 1.6 V is required to produce 1 mol of hydrogen. This is approximately 0.3 V less than the voltage required by a high temperature steam electrolyser (based on a proton conducting electrolyte) operating at same condition (T = 1073 K, P = 101.325 kPa and J = 1000 A/m2), suggesting that the proposed electrolyser offers a new option for high temperature electrolysis for hydrogen production, potentially with a low electrical energy requirement. The proposed electrolyser may be incorporated into thermochemical cycles for hydrogen production, like Cu
Article 2 Reads 0 Citations First and Second Law Analyses of Trans-critical N2O Refrigeration Cycle Using an Ejector Damoon Aghazadeh Dokandari, S.M.S. Mahmoudi, M. Bidi, Ramin ... Published: 13 April 2018
Sustainability, doi: 10.3390/su10041177
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An ejector-expansion refrigeration cycle using nitrous oxide was assessed. Thermodynamic analyses, including energy and exergy analyses, were carried out to investigate the effects on performance of several key factors in the system. The results show that the ejector-expansion refrigeration cycle (EERC) has a higher maximum coefficient of performance and exergy efficiency than the internal heat exchanger cycle (IHEC), by 12% and 15%, respectively. The maximum coefficient of performance and exergy efficiency are 14% and 16.5% higher than the corresponding values for the vapor-compression refrigeration cycle (VCRC), respectively. The total exergy destruction for the N2O ejector-expansion cycle is 63% and 53% less than for IHEC and VCRC, respectively. Furthermore, the highest COPs for the vapor-compression refrigeration, the internal heat exchanger and the ejector-expansion refrigeration cycles correspond to a high side pressure of 7.3 MPa, and the highest COPs for the three types of CO2 refrigeration cycles correspond to a high side pressure of 8.5 MPa. Consequently, these lead to a lower electrical power consumption by the compressor.
Article 3 Reads 0 Citations Influence of Selected Gasification Parameters on Syngas Composition From Biomass Gasification Maan Al-Zareer, Dr. Ibrahim Dincer, Marc A. Rosen Published: 29 March 2018
Journal of Energy Resources Technology, doi: 10.1115/1.4039601
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In this study, the syngas composition exiting a biomass gasifier is investigated to determine the effect of varying selected gasification parameters. The gasification parameters considered are the mass flow rate of steam, the gasification agent, the mass flow rate of oxygen, the gasification oxidant and the type of biomass. The syngas composition is represented by its hydrogen, carbon monoxide, carbon dioxide and water fractions. The oxygen fed to the gasifier is produced using a cryogenic air separation unit. The gasifier and the air separation unit are modeled and simulated with Aspen Plus, where the gasification reactions are carried out based on the Gibbs free energy minimization approach. Finally, the syngas composition for the different types of biomass as well as the different compositions of the three types of the biomass considered are compared in terms of chemical composition. It was found that for each type of biomass and at a specified steam flow rate there is an air to the air separation unit where the gasification of the biomass ends and biomass combustion starts and as the volatile matter in the biomass increases the further the shifting point occur, meaning at higher air flow rate. It was found for the three considered biomass types and their four mixtures that, as the volatile matter in the biomass increases, more hydrogen is observed in the syngas. An optimum biomass mixture can be achieved by determining the right amount of each type of biomass based on the reported sensitivity analysis.