Pyrolysis of Municipal Green Waste: A Modelling,  Simulation and Experimental Analysis

Kabir, Mohammed J.; Chowdhury, Ashfaque Ahmed; Rasul, M.G.

doi:10.3390/en8087522

Cited by 81 publications

(29 citation statements)

References 27 publications

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“…More recent contributions in the field of (fast) pyrolysis modeling include the Aspen Plus model for the pyrolysis of municipal green waste by Kabir et al (2015), the kinetic model of the fast pyrolysis of bagasse in a fluidized bed reactor by Michailos (2018), and the mathematical model of the bio-oil production via the fast pyrolysis of bagasse in a circulating fluidized bed reactor by Treedet et al (2017). Ciesielski et al (2018) presented a multi-scale model of the catalytic fast pyrolysis of biomass.…”

Section: Fast Pyrolysismentioning

confidence: 99%

Modeling Biowaste Biorefineries: A Review

Buck

Polańska

Impe

2020

Front. Sustain. Food Syst.

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The biorefining of biowaste is an upcoming novel strategy, but is mostly still in its conceptual phase. Biowaste biorefineries would allow (rural) communities to convert their biowaste into value-added biofuels, biochemical compounds, and fertilizers. Several different types of biowaste biorefineries have already been developed, but little to none of these designs are already commercially exploited. Their further development and commercial implementation is hampered by the high investment costs and risks, little trusts in its novel technologies, expected yields and profits, and operating reliability. Modeling these integrated processes, together with their supply chains, would allow for optimizing the considered biorefinery designs and coincidently speeding up the R&D-process. The optimized biorefinery designs and supply chains would additionally embed an increased amount of trust in potential investors in terms of the economic sustainability of the considered novel processes. Therefore, in this publication, a summary of existing biorefinery models is presented, together with supply chain network models. The discussed biorefinery models are categorized according to the conversion platform they use, being thermochemical, biological, or hybrid ones. Furthermore, the overall inherent advantages and disadvantages of all conversion platforms are summarized and a scope of further research needs is presented.

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Section: Fast Pyrolysismentioning

confidence: 99%

Modeling Biowaste Biorefineries: A Review

Buck

Polańska

Impe

2020

Front. Sustain. Food Syst.

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“…According to Food and Agriculture Organization (FAO) statistics [1], the total MDF production was more than 100 million m 3 over the world in 2017. Specially, in China, the number was more than 59 million m 3 . A large amount of waste MDF was generated from the need for regular replacement of furniture due to aging, mechanical damage, fire burning, etc.…”

Section: Introductionmentioning

confidence: 99%

“…[2]. At the beginning, most of the waste MDF was sent to burn for cooking or space heating, while a small portion was disposed in landfills [3]. With the rapid rising of MDF waste, land occupation and environmental problems are becoming more serious.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Study on the Pyrolysis of Medium Density Fiberboard: Effects of Secondary Charring Reactions

et al. 2018

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The reaction models employed in the kinetic studies of biomass pyrolysis generally do not include the secondary charring reactions. The aim of this work is to propose an applicable kinetic model to characterize the pyrolysis mechanism of medium density fiberboard (MDF) and to evaluate the effects of secondary charring reactions on estimated products yields. The kinetic study for pyrolysis of MDF was performed by a thermogravimetric analyzer over a heating rate range from 10 to 40 °C/min in a nitrogen atmosphere. Four stages related to the degradation of resin, hemicellulose, cellulose, and lignin could be distinguished from the thermogravimetric analyses (TGA). Based on the four components and multi-component parallel reaction scheme, a kinetic model considering secondary charring reactions was proposed. A comparison model was also provided. An efficient optimization algorithm, differential evolution (DE), was coupled with the two models to determine the kinetic parameters. Comparisons of the results of the two models to experiment showed that the mass fraction (TG) and mass loss rate (DTG) calculated by the model considering secondary charring reactions were in better agreement with the experimental data. Furthermore, higher product yields than the experimental values will be obtained if secondary charring reactions were not considered in the kinetic study of MDF pyrolysis. On the contrary, with the consideration of secondary charring reactions, the estimated product yield had little error with the experimental data.

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“…A well-known software for process engineering applications is the Advanced System for Process Engineering (aspenONE R v8, Aspen Technology, Inc., Burlington, MA, USA). This simulation platform has been widely applied for process design and development on various renewable energy sources areas, some examples are the works on biomass or solid waste utilization for gasification [38][39][40][41]. More related works are those of Rabbani, 2013 [42], who took advantage of the Aspen Plus R simulator to model and control a Ballard power module of 21.2 kW, and presented a dynamic analysis for vehicular applications.…”

Section: Introductionmentioning

confidence: 99%

Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation

et al. 2017

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This paper deals with the design of a control scheme for improving the air supply subsystem of a Proton Exchange Membrane Fuel Cell (PEMFC) with maximum power of 65 kW. The control scheme is evaluated in a plant simulator which incorporates the balance of plant (BOP) components and is built in the aspenONE R platform. The aspenONE R libraries and tools allows introducing the compressor map and sizing the heat exchangers used to conduct the reactants temperature to the operating value. The PEMFC model and an adaptive controller were programmed to create customized libraries used in the simulator. The structure of the plant control is as follows: the stoichiometric oxygen excess ratio is regulated by manipulating the compressor power, the equilibrium of the anode-cathode pressures is achieved by tracking the anode pressure with hydrogen flow manipulation; the oxygen and hydrogen temperatures are regulated in the heat exchangers, and the gas humidity control is obtained with a simplified model of the humidifier. The control scheme performance is evaluated for load changes, perturbations and parametric variations, introducing a growing current profile covering a large span of power, and a current profile derived from a standard driving speed cycle. The impact of the control scheme is advantageous, since the control objectives are accomplished and the PEMFC tolerates reasonably membrane damage that can produce active surface reduction. The simulation analysis aids to identify the safe Voltage-Current region, where the compressor works with mechanical stability.

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Pyrolysis of Municipal Green Waste: A Modelling, Simulation and Experimental Analysis

Cited by 81 publications

References 27 publications

Modeling Biowaste Biorefineries: A Review

Modeling Biowaste Biorefineries: A Review

Kinetic Study on the Pyrolysis of Medium Density Fiberboard: Effects of Secondary Charring Reactions

Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation

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