Simulation of biomass gasification in bubbling fluidized bed reactor using aspen plus®

Puig-Gamero, M.; Pio, D.T.; Tarelho, L.A.C.; Sánchez, Paula; Sánchez-Silva, L.

doi:10.1016/j.enconman.2021.113981

Cited by 84 publications

(26 citation statements)

References 49 publications

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“…Due to the ability to reproduce complex physical, chemical, and thermodynamic processes, ASPEN Plus software (manufacturer AspenTech, USA) is successfully used in scientific practice. With the help of ASPEN Plus, the process of biomass gasification in a fluidized bed [22], the processes of coal gasification [23], and biomass pyrolysis [24] were simulated. ASPEN Plus makes it possible to separately consider the influence of each of the variable factors on the dependent parameter of the process.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining the effect of the structural and technological parameters of a gas blower unit on the air flow distribution in a gas generator

Golub

Цивенкова

Golub

et al. 2022

EEJET

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The object of this study is the structural and technological parameters of the gas blower unit in the gasification chamber of a gas generator. The task to enable uniform distribution of air masses in the gas generator has been solved using the ANSYS Fluent software. The study is based on a simulation of the movement of air flows in the characteristic cross-sections of the gas generator, in particular the cross-section of the gasification chamber at the border of the oxidation and reduction zones. Seven structures of the gas blower unit were analyzed, the effectiveness of which was determined by the coefficient of variation. The most effective was the design whose value of the coefficient of variation is the smallest and equal to 93 %. At the same time, the total area of zones with no movement of air masses, that is, the absence of a gasification process, does not exceed 12 % of the total cross-sectional area of the gas generator. The speed of air masses at the boundary of the oxidation and reduction zones is aligned in the entire cross-section of the chamber and is V»4.5 m/s. The average value of the vertical component of the speed of air masses in the cross-section at the inlet to the recovery zone of the gasification chamber is V»0.6 m/s. Under such conditions, the production of synthesis gas of high calorific value with the absence of resins, acids, heavy hydrocarbons, and mechanical impurities is ensured. The correspondence of the simulation results with experimental data is confirmed by the coefficient of determination, which amounted to 0.87. The results reported here could be the basis of a modernized methodology for the study of aerodynamic, heat and mass exchange processes that occur during biomass gasification. This would make it possible to define the rational structural and technological parameters of gas generators and improve the efficiency of the gasification process as a whole.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining the effect of the structural and technological parameters of a gas blower unit on the air flow distribution in a gas generator

Golub

Цивенкова

Golub

et al. 2022

EEJET

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“…The Bio2Energy® models based on equations from the IAPWS has been demonstrated to simulate and evaluate the techno-economics of CHP generation from agave bagasse, coffee residues and orange peels in Mexican agroindustry (Martinez et al 2021). The use of computational fluid dynamics packages using detailed geometry and meshes is also noted in the literature (Puig-Gamero et al 2021), which may not be relevant to the present study due to the aim of flowsheet or whole system simulation. There is a handful of research literature on carbon capture and storage (CCS) associated with CHP.…”

Section: Introductionmentioning

confidence: 99%

Modelling to analyse the process and sustainability performance of forestry-based bioenergy systems

Martínez-Hernández

Sadhukhan

Aburto

et al. 2022

Clean Techn Environ Policy

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This study develops a novel mathematical modelling framework for biomass combined heat and power systems (CHP) that links biomass and process characteristics to sustainability assessment of the life cycle. A total of twenty-nine indicators for the process (four-indicators), economic (five-indicators), environmental (eight-indicators) and social global (five-indicators) and local (seven-indicators) aspects have been analysed for sustainability. These are technological: biomass throughput, electricity and steam generations and CHP efficiency; economic: internal rate of return, capital, operating and feedstock costs and cost of production; environmental: global warming, fossil, land and water use, acidification, urban smog, eutrophication and ecotoxicity potentials; social (global): labour rights and decent work, health & safety, human rights, governance and community infrastructure; social (local): total forest land, direct/indirect jobs, gender equality and energy-water-sanitation access for communities, from biomass characteristics (carbon and hydrogen contents), energy demands and economic parameters. This paper applies the developed methodology to a case study in Mexico. From 12.47 kt/year forestry residue, 1 MWe is generated with an associated low-pressure steam generation of 50 kt/year, at the cost of production of $0.023/kWh. This makes the energy provision “affordable and clean” for marginalised/poor communities (the UN Sustainable Development Goals, SDG7). Bioenergy can curb > 90% of the greenhouse gas emissions and primary energy use, 6 kt CO2 eq and 74 TJ annually. Bioenergy reduces other environmental impacts considerably, water consumption, acidification and eutrophication by 87–53%, and urban smog and ecotoxicity by 29–18%. Bioenergy can improve all five social themes in the Central American cluster countries. In addition to the SDG7, the forestry-based bioenergy system can also achieve the SDG6: "clean water and sanitation for all". Graphical abstract

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“…It is also probable that comparable processes occur within tar mist globules moving through the hot zone of the reactor, most likely by radical recombination, even though there is no clear proof of this. Reaction parameters such as the temperature of pyrolysis, pressure in the reactor, the particle size of the biomass, gas residence time, solid residence time, heating rate, and sweep gas space velocity determine the total carbon conversion and the transport of volatiles and thereby the product distribution ( Akinyemi and Adesina, 2020 ; Aldana et al., 2015 ; Bonelli et al., 2001 ; Chen et al., 2016 ; Chiappero et al., 2020 ; Davies et al., 2021 ; Durak, 2015 ; Farsi, 2021 ; Gedik et al., 2020 ; Gemechu & Kumar, 2021 ; Gerasimov et al., 2021 ; Guran, 2018 ; Hamidpour et al., 2021 ; Ifa et al., 2020 ; İlhan Küçük, 2021 ; Işıtan et al., 2016 ; Jana et al., 2017 ; Jung et al., 2021 ; Kir et al., 2021 ; Loya-González et al., 2019 ; Mailaram et al., 2021 ; Manurung et al., 2009 ; Martí-Rosselló et al., 2018 ; Moldoveanu, 2021 ; Moravvej et al., 2021 ; Nie et al., 2021 ; Ortiz et al., 2020 ; Özsin & Pütün, 2017 ; Pecha and Garcia-Perez, 2020 ; Pereira Lopes and Astruc, 2021 ; Piroozmand et al., 2021 ; Puig-Gamero et al., 2021 ; Quereshi et al., 2021 ; Tacettin Geçkil, 2020 ; Tacettin GEÇKİL, 2021 ; Tursi and Olivito, 2021 ; Zaafouri et al., 2016 ; Zhou et al., 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Obtaining the best temperature parameters for co-carbonization of lignite (yatağan)-biomass (peach seed shell) by structural characterization

gündüz

Akbulut

Koyunoğlu

et al. 2022

Heliyon

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Simulation of biomass gasification in bubbling fluidized bed reactor using aspen plus®

Cited by 84 publications

References 49 publications

Determining the effect of the structural and technological parameters of a gas blower unit on the air flow distribution in a gas generator

Determining the effect of the structural and technological parameters of a gas blower unit on the air flow distribution in a gas generator

Modelling to analyse the process and sustainability performance of forestry-based bioenergy systems

Obtaining the best temperature parameters for co-carbonization of lignite (yatağan)-biomass (peach seed shell) by structural characterization

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