Particle filter-based monitoring scheme for simulated bio-ethylene production process

Salardani, Luciana Souza Ferreira; Albuquerque, Lorrane Pains; Costa, José Mir Justino da; Silva, Wellington Betencurte da; Dutra, Julio Cesar Sampaio

doi:10.1080/17415977.2018.1493726

Cited by 6 publications

(7 citation statements)

References 39 publications

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“…Only in this pathway, SAF would be produced from anhydrous ethanol, as reported by the original reference. It was assumed that anhydrous ethanol input would not influence the overall conversion yields, since the ethylene production, which is the first stage of the ATJ‐based process, does not present relevant discrepancies if an input of hydrated ethanol was assumed 62 . Even though, lower costs for producing hydrated ethanol instead of anhydrous ethanol could slightly influence the economic analysis of the whole process.…”

Section: Methodsmentioning

confidence: 99%

Mitigating carbon emissions through sustainable aviation fuels: costs and potential

Capaz

Guida

Seabra

et al. 2020

Biofuels Bioprod Bioref

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In general, the certified pathways for the production of sustainable aviation fuels (SAFs) are still far from being competitive with fossil kerosene, although they have the potential to reduce greenhouse gas (GHG) emissions. However, the mitigation costs related to SAFs and how they compete with the carbon credits market remain unclear. The present study addressed these issues, evaluating SAF pathways based on hydrotreatment (HEFA process) of soybean oil, palm oil, used cooking oil (UCO) and beef tallow; dehydration and oligomerization of ethanol (ATJ technology) obtained from sugarcane, lignocellulosic residues, and steel off‐gases; and the thermochemical conversion of lignocellulosic residues using the Fischer–Tropsch (FT) process and hydrothermal liquefaction (HTL). Residue‐based pathways had lower mitigation costs. Used cooking oil / HEFA had the lowest value (185 USD tCO2e−1), followed by the thermochemical conversion of forestry residues (234–263 USD tCO2e−1). Of the 1G pathways, SAF production from 1G sugarcane ethanol (SC‐1G/ATJ) performed better (495 USD tCO2e−1) than oil‐based ones. In comparison with the carbon market, the mitigation costs of SAFs are much higher than the current prices or even future ones. However, several concerns about the credibility of the emission units and their effective mitigation effects indicate that SAFs could play an important role in aviation sector goals. Considering the potential of supplying SAF and mitigating emissions, SC‐1G/ATJ was suggested as a preferred alternative in the short term. Of the residue‐based pathways, tallow / HEFA and FT of forestry residues are suggested as strategic alternatives. © 2020 The Authors. Biofuels, Bioproducts, and Biorefining published by Society of Chemical Industry and John Wiley & Sons, Ltd

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Section: Methodsmentioning

confidence: 99%

Mitigating carbon emissions through sustainable aviation fuels: costs and potential

Capaz

Guida

Seabra

et al. 2020

Biofuels Bioprod Bioref

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“…A common practice when evaluating the performance of a Particle Filter for parameter estimation is the generation of synthetic parameter data Salardani et al 2018;Dias et al 2017). Because is unknown (unmeasured) r in plant disease epidemics, and assuming that several different forms of exist (t) r for all sorts of plant disease epidemics, we generated synthetic assuming five (t) r different patterns: constant, increasing, decreasing, random and sinusoidal.…”

Section: Methodsmentioning

confidence: 99%

Estimation of a Time-varying Apparent Infection Rate from Plant Disease Progress Curves: A Particle Filter Approach

Alves

Moraes

Silva

et al. 2019

Preprint

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“…The estimation problem, through the particle filter, follows the procedure stated in [44]. For each k = 1, ..., M, it proceeds as follows: using the measured data E k = (E i ) i=1,...,k , N part particles for the states…”

Section: State Estimation Problemmentioning

confidence: 99%

“…This can be performed if the number of effective particles (particles with large weights) falls below a certain threshold number. Alternatively, resampling can also be applied indiscriminatly at each instant t k , as in the Sampling Importance Resampling (SIR) algorithm [33,43,44,46,47].…”

Section: Particle Filter Algorithmmentioning

confidence: 99%

Sequential particle filter estimation of a time-dependent heat transfer coefficient in a multidimensional nonlinear inverse heat conduction problem

Silva

Dutra

Kopperschimidt

et al. 2021

Applied Mathematical Modelling

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Particle filter-based monitoring scheme for simulated bio-ethylene production process

Cited by 6 publications

References 39 publications

Mitigating carbon emissions through sustainable aviation fuels: costs and potential

Mitigating carbon emissions through sustainable aviation fuels: costs and potential

Estimation of a Time-varying Apparent Infection Rate from Plant Disease Progress Curves: A Particle Filter Approach

Sequential particle filter estimation of a time-dependent heat transfer coefficient in a multidimensional nonlinear inverse heat conduction problem

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