Electrochemical reforming vs. catalytic reforming of ethanol: A process energy analysis for hydrogen production

Gutiérrez-Guerra, N.; Jiménez-Vázquez, M.; Serrano‐Ruiz, Juan Carlos; Valverde, J.L.; Lucas-Consuegra, A. de

doi:10.1016/j.cep.2015.05.008

Cited by 39 publications

(23 citation statements)

References 31 publications

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“…Methane was always absent. The second case [38], performed with HYSIS ® , compares the hydrogen yield obtained from a conventional ehanol steam reformer to the one coming from an electro-chemical reformer (Table 8). Since the data on the operating performance of the two different reactors are found elsewhere (see references addressed in the cited work), the interest of this simulation lies mainly in the fact that the electrical process required a simpler configuration, since the heat-exchange network and the pre-heating were not needed.…”

Section: Unitmentioning

confidence: 99%

Process Simulation for the Design and Scale Up of Heterogeneous Catalytic Process: Kinetic Modelling Issues

et al. 2017

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Abstract:Process simulation represents an important tool for plant design and optimization, either applied to well established or to newly developed processes. Suitable thermodynamic packages should be selected in order to properly describe the behavior of reactors and unit operations and to precisely define phase equilibria. Moreover, a detailed and representative kinetic scheme should be available to predict correctly the dependence of the process on its main variables. This review points out some models and methods for kinetic analysis specifically applied to the simulation of catalytic processes, as a basis for process design and optimization. Attention is paid also to microkinetic modelling and to the methods based on first principles, to elucidate mechanisms and independently calculate thermodynamic and kinetic parameters. Different case studies support the discussion. At first, we have selected two basic examples from the industrial chemistry practice, e.g., ammonia and methanol synthesis, which may be described through a relatively simple reaction pathway and the relative available kinetic scheme. Then, a more complex reaction network is deeply discussed to define the conversion of bioethanol into syngas/hydrogen or into building blocks, such as ethylene. In this case, lumped kinetic schemes completely fail the description of process behavior. Thus, in this case, more detailed-e.g., microkinetic-schemes should be available to implement into the simulator. However, the correct definition of all the kinetic data when complex microkinetic mechanisms are used, often leads to unreliable, highly correlated parameters. In such cases, greater effort to independently estimate some relevant kinetic/thermodynamic data through Density Functional Theory (DFT)/ab initio methods may be helpful to improve process description.

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Section: Unitmentioning

confidence: 99%

Process Simulation for the Design and Scale Up of Heterogeneous Catalytic Process: Kinetic Modelling Issues

et al. 2017

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“…The performance of a system has been studied by an energetic analysis [9] based on the first law of thermodynamics. The main drawbacks of this kind of analysis are that it does not provide any information about the degradation (quality) of energy that occurs in the process and it cannot identify the real thermodynamic inefficiencies associated with irreversible processes in the energy conversion system [10].…”

Section: Introductionmentioning

confidence: 99%

Kinetic, energetic and exergetic approach to the methane tri-reforming process

Díez-Ramírez

Dorado

Martínez-Valiente

et al. 2016

International Journal of Hydrogen Energy

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“…There are various methods of hydrogen production, such as steam reforming [2], water electrolysis [3,4], biological processes [5] and photoelectrolysis [6,7]. In recent years, a method of hydrogen production from water-alcohol mixtures (or, as it is called electrochemical reforming or ECR) is being developed as an alternative technique to the water electrolysis because of the lower energy requirements [8]. However, the wide application of this method is limited because of the scarcity and high cost of Pt electrodes.…”

Section: Introductionmentioning

confidence: 99%

Successive ionic layer deposition of Co-doped Cu(OH)2 nanorods as electrode material for electrocatalytic reforming of ethanol

Kodintsev¹,

Martinson²,

Lobinsky³

et al. 2019

Nanosystems: Phys. Chem. Math.

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In this work, a facile and cost-effective layer by layer method was proposed to synthesize novel high stable and effective electrode material based on the Co-doped Cu(OH) 2 nanocrystals. The crystals have orthorhombic structure and a rod-like morphology with a 23±2 nm in width and 43±4 nm in length. The composition of the nanocrystals corresponds to the 1 % Co-doped Cu(OH) 2 by EDX with no noticeable impurities as it was found by FTIR spectroscopy. It was shown that nickel electrode modified with nanorods is characterized by an overvoltage value of −347 mV at 10 mA/cm 2 , which is 250 mV lower than that of an initial pure nickel electrode. The value of Tafel slope that reaches 138 mV/dec, high stability of the Co-doped Cu(OH) 2 nanorods in chronopotentiometric (10 hours) and cyclic volamperometric (500 cycles) tests allows us to consider them as a prospective basis of electrode materials for the hydrogen evolution from renewable water-alcohol sources.

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Electrochemical reforming vs. catalytic reforming of ethanol: A process energy analysis for hydrogen production

Cited by 39 publications

References 31 publications

Process Simulation for the Design and Scale Up of Heterogeneous Catalytic Process: Kinetic Modelling Issues

Process Simulation for the Design and Scale Up of Heterogeneous Catalytic Process: Kinetic Modelling Issues

Kinetic, energetic and exergetic approach to the methane tri-reforming process

Successive ionic layer deposition of Co-doped Cu(OH)2 nanorods as electrode material for electrocatalytic reforming of ethanol

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