Modelling and optimization of a pyrolysis plant using swine and goat manure as feedstock

Poddar, Sourav; Babu, J. Sarat Chandra

doi:10.1016/j.renene.2021.04.120

Cited by 18 publications

(5 citation statements)

References 36 publications

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“…By leveraging response surfaces, second‐order polynomial equations can be derived with minimal reliance on trial and error. Additionally, this method enables the examination of interactions between independent components, providing a comprehensive understanding of the studied system 9,28‐31 . This methodology has two variants: the BBD and the Box–Wilson design, also known as the center composite design.…”

Section: Methodsmentioning

confidence: 99%

Maximizing methyl red dye removal efficiency: a targeted parameter approach

Behera,

Poddar,

Byun

2024

J of Chemical Tech & Biotech

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BACKGROUNDLiquid–liquid extraction plays a crucial role in the chemical industry for obtaining valuable products. This research focuses on optimizing key parameters, namely dye removal percentage, solvent capacity, and distribution coefficient, in the liquid–liquid extraction of methyl red dye from its aqueous solution using benzene as the extractant. The study investigates the influence of key variables, including feed dye concentration (20–100) ppm, extraction time (10–30) min and dye solution‐to‐solvent ratio (1–3) mL/mL. The experiments are conducted at a constant pH of 3 and controlled temperatures of (27 ± 2) °C.RESULTSStrategically controlling various parameters, this investigation aims to achieve superior outcomes, surpassing prior achievements in similar experimental conditions. Utilizing the Box‐Behnken design for optimization, the research attains a remarkable recovery efficiency of 84.61%. The achieved optimal values for dye removal, distribution coefficient, and solvent capacity are (84.61±5.07)%, 5.22±0.31, and (5.17±0.94) ppm, respectively, at a feed dye concentration of 20 ppm, an extraction time of 27.994 min, and a dye solution‐to‐solvent ratio of 3 mL/mL.CONCLUSIONThese findings underscore the potential for maximizing methyl red dye extraction efficiency and surpassing previously reported efficiency using the presented parameters with the same input data. The study contributes to advancements in liquid–liquid extraction technology and provides a deeper understanding of the optimization process with technical precision.This article is protected by copyright. All rights reserved.

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Section: Methodsmentioning

confidence: 99%

Maximizing methyl red dye removal efficiency: a targeted parameter approach

Behera,

Poddar,

Byun

2024

J of Chemical Tech & Biotech

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“…Azolla is a fast growing plant and goat manure is developed by pyrolysis into valuable fuels such as GMBC and GMBO. The yield of goat manure pyrolysis at 500 °C is 48.66 % GMBC, 35 % GMBO and 16.34 % biogas [18]. The HHV value of the Azolla plant is 16.13 MJ/kg [19].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Identification of combustion regularities of fuel mixtures from Azolla biomass, goat manure biochar and goat manure bio-oil for FCC furnace

Farhan

Siswantara

Auzani

et al. 2023

EEJET

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Fluid catalytic cracking (FCC) is a method of cracking vegetable oils into simpler fractions and green fuel oils. One component of the FCC system is the FCC furnace. The FCC furnace is where the combustion process occurs and provides high heat transfer throughout the FCC system, especially for heating the reactor. The reactor temperature is the catalyst cracking temperature. The cracking temperature of the catalyst depends on the feed oil used in the cracking process, such as crude palm oil at 450‒550 °C or crude bio-oil at 300 °C. The fuel for heating an FCC furnace is usually coal. To reduce coal, we use a mixture of Azolla microphylla biomass with biochar and bio-oil from goat manure. The aim of this study was to analyze the mixture of Azolla microphylla biomass with biochar and bio-oil from goat manure to obtain sufficient furnace temperature to heat the FCC reactor, perform analytical calculations to obtain the volume of flue gas formed from the combustion reaction. We conducted two experiments; the first experiment used a mixture of 1 kg of Goat Manure Biochar (GMBC) with 0.5 kg of Azolla microphylla and the second experiment used a mixture of one kg of GMBC with 0.5 kg of Azolla microphylla plus 300 ml of Goat Manure Bio-oil (GMBO). A fuel mixture of one kilogram GMBC with 0.5 kg Azolla is not effective in combustion because the maximum temperature in the furnace is 177 °C but the fuel mixture of one kg GMBC, 0.5 kg Azolla and 300 ml GMBO has a furnace temperature of 472.75 °C, which can heat the stripper up to 313.25 °C so that cracking can occur in the raw bio-oil. Analysis of combustion results showed an increase in total CO2 volume from experiment one and experiment two of 0.966

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“…Therefore, as in the methodology, there is no need for many separate experiments. RSM 9,29 has been an excellent way to improve the technique.…”

Section: Optimization Technique That Utilizes Rsmmentioning

confidence: 99%

“…A recent investigation deals with the recovery of l ‐phenylalanine from a dilute solution by the use of a solvent sublation method in batch mode involving a reactive extraction technique 14 . The method was optimized by experimental design using response surface methodology (RSM) 27‐29 . Optimization is becoming the usual practice in any method development to achieve reproducibility in method and product.…”

Section: Introductionmentioning

confidence: 99%

“…14 The method was optimized by experimental design using response surface methodology (RSM). [27][28][29] Optimization is becoming the usual practice in any method development to achieve reproducibility in method and product. RSM is a statistical technique for optimizing complex processes because it allows for more efficient and accessible arrangement and interpretation of experiments.…”

Section: Introductionmentioning

confidence: 99%

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Adsorptive bubble separation method in the recovery of a biomolecule

Poddar

Khanam

Pradhan

2022

J of Chemical Tech & Biotech

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The present work aims to separate an amino acid (l-phenylalanine) from a highly dilute aqueous solution by the 'adsorptive bubble separation method'. Separation is based on the principle of adsorption at the interphase of the gas bubble and aqueous phase and subsequent amino acid extraction in the top layered nonaqueous phase. The operation was carried out in a long glass column with a comprehensive solvent chamber at the top. Design-Expert software optimizes the process parameters, and the process involves three variables: gas (nitrogen) flow rate, extractant, and solvent quantity, which control responses, recovery percentage, and the ratio of enrichment. The design models are found to be significant. The maximum recovery of amino acid observed was 75.545% and the value of the enrichment ratio was 3.87. In addition, two models were generated by the software, which was statistically significant (P < 0.05). Therefore, this process is adopted as it is of straightforward construction, eco-friendly, and less costly than other methods previously known to recover l-phenylalanine from a dilute solution.

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Modelling and optimization of a pyrolysis plant using swine and goat manure as feedstock

Cited by 18 publications

References 36 publications

Maximizing methyl red dye removal efficiency: a targeted parameter approach

Maximizing methyl red dye removal efficiency: a targeted parameter approach

Identification of combustion regularities of fuel mixtures from Azolla biomass, goat manure biochar and goat manure bio-oil for FCC furnace

Adsorptive bubble separation method in the recovery of a biomolecule

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