Stoichiometric Equilibrium Model Based Assessment of Hydrogen Generation through Biomass Gasification

George, Joel; Arun, P.; Muraleedharan, C.

doi:10.1016/j.protcy.2016.08.194

Cited by 40 publications

(15 citation statements)

References 19 publications

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“…Compared with the experimental results, M2 resulted in an average error of 42.7% and the error would decrease as the temperature increased. As shown above, the original equilibrium model (M1) overestimated the production contents of hydrogen and carbon monoxide, while the production of methane was underestimated (George et al, 2016). The errors of carbon monoxide yield prediction were reduced in M2, and M3 could effectively improve the prediction of hydrogen yield.…”

Section: Model Validationmentioning

confidence: 89%

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

et al. 2020

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Biomass-based gasification is an attractive and promising pathway for hydrogen production. In this work, a biomass-based hydrogen production system integrated with organic Rankine cycle was designed and investigated to predict the performance of hydrogen production yield and electricity generation under various operating conditions. The modified equilibrium model presented desirable results for the produced syngas compositions compared with the experimental data. Hydrogen yields from four types of biomass (wood chips, daily manure, sorghum, and grapevine pruning wastes) were compared under the same operating condition, with wood chips exhibiting the maximum hydrogen yield of 11.59 mol/kg. The effects of gasification temperature, equivalence ratio, and steam-to-biomass ratio on the hydrogen yield and electricity generation were investigated by using the response surface method. Furthermore, the system was optimized using a genetic algorithm based on the response surface model. A preferred optimal solution with a hydrogen yield of 39.31 mol/kg and an output power of 3,558.08 kW (0.99 kW h/kg) was selected by the linear programming technique for multidimensional analysis of the preference method.

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Section: Model Validationmentioning

confidence: 89%

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

et al. 2020

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“…As a result, they are simple, adequate to study the influence of operating parameters on the composition of the syngas (Hian, Saleh, and Abdul Samad, 2016;Rodrigues et al, 2016;Ruggiero and Manfrida, 1999), but they are only valid under chemical equilibrium conditions (Rodrigues et al, 2016). Other approaches involve Neural Networks and Computational Fluid Dynamics (CFD) (Costa et al, 2015;George, Arun, and Muraleedharan, 2016;La Villetta, Costa, and Massarotti, 2017).…”

Section: Gasificationmentioning

confidence: 99%

Biorefinery Concept Applied to Phytochemical Extraction and Bio-Syngas Production using Agro-Industrial Waste Biomass: A Review

2020

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Second-generation biomass is a renewable resource that can address the increasing global energy demand and help to partially substitute the use of and dependence on fossil fuels, since it can be transformed into gas, liquid and/or solid fuels by physical, thermal, thermochemical and/or biological processes. However, its potential is not fully exploited because the process to extract the phytochemicals present in such organic byproducts has been largely omitted. Natural compounds are of interest to high value-added industries such as cosmetics and pharmaceutics. Therefore, this work proposes to thoroughly use such residual biomass in a biorefinery by a simultaneous, efficient and sustainable integration and operation of extraction processes to obtain phytochemicals and functional extracts. A thermochemical process known as gasification is implemented to produce syngas, which can be turned into fuels, chemicals, and energy such as methanol and synthetic gasoline. Furthermore, this review article describes the state of the art of each process and the concept of biorefinery.

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“…A STEM was formulated to assess the hydrogen yield from different locally available biomasses at specified operating conditions to select the most appropriate one. 27 In this study, the assumptions of the biomass gasification model are as follows.…”

Section: Modelmentioning

confidence: 99%

Hydrogen conversion using gasification of tea factory wastes

et al. 2020

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In this study, gasification performance and importance of hydrogen production using waste of a tea factory were evaluated. A mathematical model was developed for the gasification system, which includes a water gas shift reactor used for hydrogen purification. The gasifier temperature was 877 °C for the developed model. The model has been validated against experimental data from an 80 kW t h cylindrical downdraft gasifier, given in the literature for syngas composition for three different air-to-fuel ratios. With the developed model, hydrogen production from tea wastes was achieved to yield a higher level by additionally using a water gas shift reactor. Tea waste (1000 kg) was gasified and after the hydrogen purification process, a total of 4.1 kmol hydrogen was achieved, whereas the amount would be 2.8 kmol gas hydrogen if a normal gasification method were used. The validity of the developed model was verified by comparing the experimental results obtained from the literature with the results of the model under the same conditions. After verification of the developed model, the effect of the moisture content of the biomass and the air/fuel ratio on the composition of the product gas were investigated. These investigations were also confirmed by experimental data. The results show that it is important to convert biomass waste into a clean energy source of hydrogen to minimize its environmental impact.

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Stoichiometric Equilibrium Model Based Assessment of Hydrogen Generation through Biomass Gasification

Cited by 40 publications

References 19 publications

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

Multi-Criteria Optimization of a Biomass-Based Hydrogen Production System Integrated With Organic Rankine Cycle

Biorefinery Concept Applied to Phytochemical Extraction and Bio-Syngas Production using Agro-Industrial Waste Biomass: A Review

Hydrogen conversion using gasification of tea factory wastes

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