Process Simulation of Two-Stage Anaerobic Digestion for Methane Production

Al-Rubaye, Haider; Karambelkar, Shruti Shrikant; Shivashankaraiah, Manohar Manchenahalli; Smith, Joseph D.

doi:10.1080/17597269.2017.1309854

Cited by 29 publications

(29 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Malakahmad et al [18] used SuperPro Designer software for the AD process of organic waste. Al-Rubaye et al [20] applied Aspen Plus for developing the process model for AD with animal manure and wastewater from industrial and agricultural activities as feed loading. They applied ADMI reaction kinetics and used animal manure, municipal solid waste, and a combination of both in their study.…”

Section: Introductionmentioning

confidence: 99%

“…They applied ADMI reaction kinetics and used animal manure, municipal solid waste, and a combination of both in their study. Al-Rubaye et al [20] applied Aspen Plus for developing the process model for AD with animal manure and wastewater from industrial and agricultural activities as feed loading. Although several simulation works on the AD process have been reported, only limited attention has been paid to food waste as feedstock and investigation of process parameters which significantly affect the methane component in biogas production.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Anaerobic Digestion Process of Food Waste for Biogas Production: A Simulation Approach

et al. 2019

View full text Add to dashboard Cite

Anaerobic digestion (AD) involves a series of biological processes in which organic material is broken down and transformed into biogas. A simulation model of the AD process in treating food waste to produce biogas was developed using Aspen Plus software. The components list, thermodynamic property package, reaction list, reactor model, and process condition were specified in Aspen Plus. Sensitivity analysis was performed to study the effect of hydraulic retention time and changes in food waste composition on the biogas production. The methane composition in biogas decreased when the hydraulic retention time was increased which is due to the reduction of substrate consumption during the AD process. The process model is able to represent the AD process and provides a good approximation on the production of biogas under various process operating conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anaerobic Digestion Process of Food Waste for Biogas Production: A Simulation Approach

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Various methods have been employed for simulating downdraft biomass gasifiers, including process models [23][24][25][26][27][28], computational fluid dynamics (CFD) models [10,18,[29][30][31][32], and artificial neural networks models [33][34][35]. Process simulators (e.g., Aspen Plus) have been widely adopted to simulate energyrelated processes, including biomass digestion [36], coal liquefaction [37,38], coal gasification [39], and integrated coal gasification combined cycle (IGCC) [40] because of their userfriendly interface and lower computational cost. Tab.…”

Section: Introductionmentioning

confidence: 99%

Validation and Application of a Kinetic Model for Downdraft Biomass Gasification Simulation

et al. 2019

Self Cite

View full text Add to dashboard Cite

Biomass gasification is widely recognized as an effective method to obtain renewable energy. To accurately predict the syngas and tar compositions is a challenge. A chemical reaction kinetics model based on comprehensive gasification kinetics is proposed to simulate downdraft biomass gasification. The kinetic model is validated by direct comparison to experimental results of two downdraft gasifiers available in the literature and is found to be more accurate than the widely used Gibbs energy‐minimizing model (GEM model). The kinetic model is then applied to investigate the effects of equivalence ratio (ER), gasification temperature, biomass moisture content, and biomass composition on syngas and tar production. Accurate water‐gas shift and CO shift reaction kinetics are found critical to achieve good agreement with experimental results.

show abstract

“…NRTL correlates and calculates the mole fractions and activity coefficients of different compounds and facilitates the liquid and the gas phase in biogas production. Accordingly, NRTL is the most suitable method for this case study, also supported by the literature for biogas modelling 26,37–39 …”

Section: Methodsmentioning

confidence: 61%

“…The AD process has many advantages such as low energy consumption, low production of biological solid wastes, the ability to work independently without any feed for long intervals, low nutrient and chemical requirements, high carbon oxygen demand removal rates, improvement to dewaterability, production of energy gases and odour‐free end products 5–7 . In addition to economic benefits from energy and fuel generation, AD plants provide additional environmental benefits such as a decrease in water, soil and air pollution through reductions of greenhouse gas emissions and other pollutants 8 …”

Section: Introductionmentioning

confidence: 99%

Optimization of biogas production through anaerobic digestion of municipal solid waste: a case study in the capital area of Reykjavik, Iceland

Llano

Arce

Finger

2021

J of Chemical Tech & Biotech

View full text Add to dashboard Cite

BACKGROUND Biogas is a valuable carbon‐free renewable energy source that can be produced from anaerobic digestion of organic waste. Accordingly, biogas production is promoted worldwide in efforts to reduce carbon emissions and optimize the recovery of resources from waste streams. In this paper the biogas production from bioresidues collected in the capital area of Reykjavik was modelled in Aspen Plus v10. RESULTS Municipal solid waste (MSW), food waste (FW) and lignocellulosic biomass (LCB) were the feedstocks used in this research. A total of 16 scenarios were simulated at thermophilic temperature conditions of 55 °C. Each scenario accounted for different inlet mass flows, varying the kind of feedstock, i.e. MSW, FW, LCB, or co‐digestion of various feedstocks, using two model approaches: (i) one digestion stage and (ii) two stages coupled in series. Sizing, costing and environmental aspects were analysed for all the scenarios. A sensitivity analysis was carried out by changing the substrate concentration and studying its effect on the methane mass flow. Simulations showed biogas yields measured in millilitres per gram of volatile solids (VS) in the range 305.5–406.4 mL g−1 VS (single‐stage approach); and biogas yields ranging from 64.78 to 358.8 mL g−1 VS (two‐stage approach). Maximum methane yields were obtained using LCB as feedstock resulting in 106.0 mL g−1 VS. CONCLUSIONS From a technical viewpoint the highest biogas yield is obtained when using MSW whereas optimum calorific value of biogas and electrical power potential is achieved working in co‐digestion of various feedstocks. © 2020 Society of Chemical Industry

show abstract

Process Simulation of Two-Stage Anaerobic Digestion for Methane Production

Cited by 29 publications

References 19 publications

Anaerobic Digestion Process of Food Waste for Biogas Production: A Simulation Approach

Anaerobic Digestion Process of Food Waste for Biogas Production: A Simulation Approach

Validation and Application of a Kinetic Model for Downdraft Biomass Gasification Simulation

Optimization of biogas production through anaerobic digestion of municipal solid waste: a case study in the capital area of Reykjavik, Iceland

Contact Info

Product

Resources

About