Review of Anaerobic Digestion Modeling and Optimization Using Nature-Inspired Techniques

Ramachandran, Anjali; Rustum, Rabee; Adeloye, Adebayo J.

doi:10.3390/pr7120953

Cited by 52 publications

(25 citation statements)

References 57 publications

(57 reference statements)

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“…An additional approach to modeling anaerobic digestion processes is represented by data-driven models, which use, for example, artificial neural networks. An evaluation of these modeling techniques is presented in [ 23 ]. The present research investigation aims at a fundamentally different data-driven model for the simulation of biogas production in a full-scale plant, which is based on the principle of time series analysis.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Biogas Production in Full Scale with Time Series Analysis

2021

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Future biogas plants must be able to produce biogas according to demand, which requires proactive feeding management. Therefore, the simulation of biogas production depending on the substrate supply is assumed. Most simulation models are based on the complex Anaerobic Digestion Model No. 1 (ADM1). The ADM1 includes a large number of parameters for all biochemical and physicochemical process steps, which have to be carefully adjusted to represent the conditions of a respective full-scale biogas plant. Due to a deficiency of reliable measurement technology and process monitoring, nearly none of these parameters are available for full-scale plants. The present research investigation shows a simulation model, which is based on the principle of time series analysis and uses only historical data of biogas formation and solid substrate supply, without differentiation of individual substrates. The results of an extensive evaluation of the model over 366 simulations with 48-h horizon show a mean absolute percentage error (MAPE) of 14–18%. The evaluation is based on two different digesters and demonstrated that the model is self-learning and automatically adaptable to the respective application, independent of the substrate’s composition.

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Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Biogas Production in Full Scale with Time Series Analysis

2021

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“…Biogas, a mixture of methane and carbon dioxide, is usually directly used as an energy source for on-site combined heat and power generation. During the last years, growing attention has focused on upgrading biogas to produce bio-methane, to be used as an alternative to natural gas, in either compressed or liquefied form, for the transport sector [ 6 ]. Due to bio-methane production’s profitability, the number of anaerobic digestion plants is expected to increase in the next years.…”

Section: Introductionmentioning

confidence: 99%

Process Simulation and Environmental Aspects of Dimethyl Ether Production from Digestate-Derived Syngas

Giuliano

Catizzone

Freda

2021

IJERPH

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The production of dimethyl ether from renewables or waste is a promising strategy to push towards a sustainable energy transition of alternative eco-friendly diesel fuel. In this work, we simulate the synthesis of dimethyl ether from a syngas (a mixture of CO, CO2 and H2) produced from gasification of digestate. In particular, a thermodynamic analysis was performed to individuate the best process conditions and syngas conditioning processes to maximize yield to dimethyl etehr (DME). Process simulation was carried out by ChemCAD software, and it was particularly focused on the effect of process conditions of both water gas shift and CO2 absorption by Selexol® on the syngas composition, with a direct influence on DME productivity. The final best flowsheet and the best process conditions were evaluated in terms of CO2 equivalent emissions. Results show direct DME synthesis global yield was higher without the WGS section and with a carbon capture equal to 85%. The final environmental impact was found equal to −113 kgCO2/GJ, demonstrating that DME synthesis from digestate may be considered as a suitable strategy for carbon dioxide recycling.

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“…Biogas, the primary end-product of the anaerobic digestion process is a mixture of methane and carbon dioxide (CH 4 /CO 2 molar ratio ranges from 1.1 to about 2.5) with minor quantities of nitrogen, hydrogen sulfide, and volatile organic compounds. Biogas is usually used as fuel in combined heat and power (CHP) plants [6,7]. Emerging technologies provide a biogas upgrading system to obtain high-purity bio-methane that may be used as fuel for household cooking, lighting, heating, and the automotive sector.…”

Section: Introductionmentioning

confidence: 99%

Valorization of OFMSW Digestate-Derived Syngas toward Methanol, Hydrogen, or Electricity: Process Simulation and Carbon Footprint Calculation

et al. 2020

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This paper explores a possible waste-based economy transition strategy. Digestate from the organic fraction of municipal solid waste (OFMSW) is considered, as well as a low-added value product to be properly valorized. In this regard, air gasification may be used to produce syngas. In this work, the production of methanol, hydrogen, or electricity from digestate-derived syngas was assessed by ChemCAD process simulation software. The process scheme of methanol production comprises the following parts: water gas shift (WGS) with carbon capture and storage units (CCS), methanol synthesis, and methanol purification. In the case of hydrogen production, after WGS-CCS, hydrogen was purified from residual nitrogen by pressure swing absorption (PSA). Finally, for electricity production, the digestate-derived syngas was used as fuel in an internal combustion engine. The main objective of this work is to compare the proposed scenarios in terms of CO2 emission intensity and the effect of CO2 storage. In particular, CCS units were used for methanol or hydrogen production with the aim of obtaining high equilibrium yield toward these products. On the basis of 100 kt/year of digestate, results show that the global CO2 savings were 80, 71, and 69 ktCO2eq/year for electricity, methanol, and hydrogen production, respectively. If carbon storage was considered, savings of about 105 and 99 ktCO2eq/year were achieved with methanol and hydrogen production, respectively. The proposed scenarios may provide an attractive option for transitioning into methanol or hydrogen economy of the future.

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Review of Anaerobic Digestion Modeling and Optimization Using Nature-Inspired Techniques

Cited by 52 publications

References 57 publications

Modeling and Simulation of Biogas Production in Full Scale with Time Series Analysis

Modeling and Simulation of Biogas Production in Full Scale with Time Series Analysis

Process Simulation and Environmental Aspects of Dimethyl Ether Production from Digestate-Derived Syngas

Valorization of OFMSW Digestate-Derived Syngas toward Methanol, Hydrogen, or Electricity: Process Simulation and Carbon Footprint Calculation

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