Process modeling and optimization for biomass steam-gasification employing response surface methodology

Zaman, Sk Arafat; Roy, Dibyendu; Ghosh, Sudip

doi:10.1016/j.biombioe.2020.105847

Cited by 55 publications

(19 citation statements)

References 34 publications

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“…Furthermore, when the S/B ratio is high, more energy is required for steam generation. The similar results reported for steam gasification of rice husk 58 and pine needle 44 …”

Section: Resultssupporting

confidence: 84%

Hydrogen production via integrated configuration of steam gasification process of biomass and water‐gas shift reaction: Process simulation and optimization

Babatabar

Saidi

2021

Int J Energy Res

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Summary A comprehensive model is developed to predict and optimize the hydrogen production via integrated configuration of steam gasification process of biomass and water‐gas shift reaction by taking advantage of the ASPEN plus software and sensitivity analysis techniques. The steam gasification process of three different generations of biomass, including corn cob as the first generation, wood residue and rice husk as second generation, and Spirulina algae as the third, are investigated and evaluated to achieve maximum hydrogen production. This model is successfully validated with experimental data reported in the literature about steam gasification of rice husk in the fluidized bed reactor. The impact of main operating parameters is considered in terms of products composition, hydrogen yield, CO conversion, H2/CO ratio in the gas products stream, and cold gas efficiency (CGE). The results indicated that the maximum hydrogen concentration is achieved at the highest steam to biomass (S/B) ratio in the gasifier and water‐gas shift (WGS) reactor and at the lowest WGS reaction temperature, whereas there is an optimum value about the gasification temperature. The highest CO conversion and H2/CO molar ratio belong to rice husk biomass at all considered range of temperature, whereas they are almost the same for wood residue and Spirulina. The predicted results confirmed that CGE of all feedstocks improves with increasing gasification temperatures and S/B ratio. The steam gasification performance of different feedstocks at 750°C is ranked as wood residue (83.56%) > spirulina (83.47%) > corn cob (74.94%) > rice husk (69.86%). The presented configuration can be applied as a novel approach for process evaluation and optimization through the downdraft biomass gasification integrated with water‐gas shift reaction to intensify the hydrogen production.

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“…Furthermore, when the S/B ratio is high, more energy is required for steam generation. The similar results reported for steam gasification of rice husk 58 and pine needle 44 …”

Section: Resultssupporting

confidence: 84%

Hydrogen production via integrated configuration of steam gasification process of biomass and water‐gas shift reaction: Process simulation and optimization

Babatabar

Saidi

2021

Int J Energy Res

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“…After optimization, it was revealed that clean and hydrogen-rich (up to 58%) gas could be generated via gasification at an optimum temperature range, steam-tobiomass ratio range, cold gas efficiency, and heating value of 750-900 C, 0.70-0.81, 90%, and 12 MJ kg À1 , respectively. [65] Similarly, a study was conducted with livestock and agro-wastes using Aspen HYSYS. Syngas compositions, exergy, and heating Figure 6.…”

Section: Numerical Modeling and Simulationmentioning

confidence: 99%

Generation of Sustainable Energy from Agro‐Residues through Thermal Pretreatment for Developing Nations: A Review

Ibitoye

Jen

Mahamood

et al. 2021

Adv Energy and Sustain Res

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Energy is a prerequisite for any nation's industrial, social, and economic advancements. [1][2][3][4] Energy can broadly be categorized into renewable and nonrenewable energies. Nonrenewable energies are energy that cannot be replenished over a short period. Examples of such energy are coal, nuclear energy, natural gas, and crude oil. Renewable energies, in contrast, are those energies that are replenishable over a short period. This form of energy includes solar, hydro, tidal, wind, biomass energy, etc. Biomass energy is the energy generated from biomass materials. Biomass material could be woody (such as teak, mahogany), nonwoody (such as agro-residues, industrial waste), and animal materials. [5] Agroresidues are described as all organic materials that are generated as byproducts from agricultural activities. These byproducts constitute the main part of biomass feedstock's total annual production, which forms an essential and sustainable source of energy for industrial and domestic applications. [6] They are material that are of benefit to humankind, though their economic benefits are less than the cost of transformation for advantageous use. [7] Agro-residues can be divided into residues generated on the field and residues generated during the processing of agricultural products. [8] Field-based residues include but are not limited to tobacco stalks, maize stalks, sugar cane tops, rice straw, soybean straw/pods, and cocoa pods. In contrast, process-based include peanuts shell, rice husk, maize cob, bagasse, and coffee husk. Agro-residues are available in large quantities in an area with a high level of agricultural activities. [9] In developing nations, major agricultural activities are recorded in the rural areas, resulting in a larger quantity of agro-residues in these areas. [10,11] Most of the time, the farmers in developing nations' dump these residues in an open field or

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“…Detailed ANOVA results are shown in Supplementary Material S5. The correlation coefficient (R 2 ) and the adjusted correlation coefficient (R 2 adj) were employed to determine the accuracy of the model [26]. Both coefficients were higher than 0.906, as shown in Table S5.1 (See Supplementary Material S5).…”

Section: Box-behkhen Designmentioning

confidence: 99%

“…RSM is a tool that determines the optimal response by coupling mathematical and statistical models while decreasing the number of experimental runs [23]. Different studies have combined the use of Aspen Plus ® and RSM to optimize different processes such as gasification of Sysigium cumini [23], methanol steam reforming to produce H 2 for HT-PEMFC [24], extraction of γ-Oryzanol from defatted rice bran [25], ESR to produce H 2 for low temperature PEMFC (LT-PEMFC) [20], biomass steam-gasification [26], dividing wall distillation columns [27], and industrial CO 2 capture [28]. The main purpose of Aspen Plus ® is to model and simulate the complete process, whereas the aim of RSM is to determine the optimal conditions based on an experimental design that includes factors that might affect the performance of the overall process.…”

Section: Introductionmentioning

confidence: 99%

Biomass Potential for Producing Power via Green Hydrogen

et al. 2021

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Hydrogen (H2) has become an important energy vector for mitigating the effects of climate change since it can be obtained from renewable sources and can be fed to fuel cells for producing power. Bioethanol can become a green H2 source via Ethanol Steam Reforming (ESR) but several variables influence the power production in the fuel cell. Herein, we explored and optimized the main variables that affect this power production. The process includes biomass fermentation, bioethanol purification, H2 production via ESR, syngas cleaning by a CO-removal reactor, and power production in a high temperature proton exchange membrane fuel cell (HT-PEMFC). Among the explored variables, the steam-to-ethanol molar ratio (S/E) employed in the ESR has the strongest influence on power production, process efficiency, and energy consumption. This effect is followed by other variables such as the inlet ethanol concentration and the ESR temperature. Although the CO-removal reactor did not show a significant effect on power production, it is key to increase the voltage on the fuel cell and consequently the power production. Optimization was carried out by the response surface methodology (RSM) and showed a maximum power of 0.07 kWh kg−1 of bioethanol with an efficiency of 17%, when ESR temperature is 700 °C. These values can be reached from different bioethanol sources as the S/E and CO-removal temperature are changed accordingly with the inlet ethanol concentration. Because there is a linear correlation between S/E and ethanol concentration, it is possible to select a proper S/E and CO-removal temperature to maximize the power generation in the HT-PEMFC via ESR. This study serves as a starting point to diversify the sources for producing H2 and moving towards a H2-economy.

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Process modeling and optimization for biomass steam-gasification employing response surface methodology

Cited by 55 publications

References 34 publications

Hydrogen production via integrated configuration of steam gasification process of biomass and water‐gas shift reaction: Process simulation and optimization

Hydrogen production via integrated configuration of steam gasification process of biomass and water‐gas shift reaction: Process simulation and optimization

Generation of Sustainable Energy from Agro‐Residues through Thermal Pretreatment for Developing Nations: A Review

Biomass Potential for Producing Power via Green Hydrogen

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