Two-step biodiesel production from Calophyllum inophyllum oil: Optimization of modified β-zeolite catalyzed pre-treatment

Sathyaselvabala, Vasanthakumar; Kirupha, Selvaraj Dinesh; Kalimuthu, Jalagandeeswaran; Periyaraman, Premkumar Manickam; Sivanesan, S.

doi:10.1016/j.biortech.2010.08.052

Cited by 72 publications

(24 citation statements)

References 22 publications

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“…These results demonstrated the efficacy of the second-order mathematical model developed for this process. For a successful transesterification of oil to biodiesel, the acid value of the oil should be less than 2 mg KOH/g [16].…”

Section: Modeling and Parameters Optimization Of Sbo Esterification Pmentioning

confidence: 99%

Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter

et al. 2015

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a b s t r a c tThis work investigated the potential of shea butter oil (SBO) as feedstock for synthesis of biodiesel. Due to high free fatty acid (FFA) of SBO used, response surface methodology (RSM) was employed to model and optimize the pretreatment step while its conversion to biodiesel was modeled and optimized using RSM and artificial neural network (ANN). The acid value of the SBO was reduced to 1.19 mg KOH/g with oil/ methanol molar ratio of 3.3, H 2 SO 4 of 0.15 v/v, time of 60 min and temperature of 45 C. Optimum values predicted for the transesterification reaction by RSM were temperature of 90 C, KOH of 0.6 w/v, oil/ methanol molar ratio of 3.5, and time of 30 min with actual shea butter oil biodiesel (SBOB) yield of 99.65% (w/w). ANN combined with generic algorithm gave the optimal condition as temperature of 82 C, KOH of 0.40 w/v, oil/methanol molar ratio of 2.62 and time of 30 min with actual SBOB yield of 99.94% (w/w). Coefficient of determination (R 2 ) and absolute average deviation (AAD) of the models were 0.9923, 0.83% (RSM) and 0.9991, 0.15% (ANN), which demonstrated that ANN model was more efficient than RSM model. Properties of SBOB produced were within biodiesel standard specifications.

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Section: Modeling and Parameters Optimization Of Sbo Esterification Pmentioning

confidence: 99%

Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter

et al. 2015

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“…Lower BTE, higher hydrocarbon (HC), than those when using smoke and lower NO x diesel have been reported (Venkanna and Venkataramana Reddy 2011). A two-step process to produce biodiesel from C. inophyllum oil has been reported in the literature (Selvabala et al 2011). Central composite design and response surface methodology were utilised to determine the best operating condition for the pretreatment step.…”

Section: Introductionmentioning

confidence: 99%

Effect of injection timing, injector opening pressure and nozzle geometry on the performance of a compression ignition engine operated on non-edible oil methyl esters from different sources

Wategave

Sawant

Tandale

et al. 2013

International Journal of Sustainable Engineering

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Increasing cost of fossil fuels, environmental threats from exhaust emissions and their depleting nature have generated intense international interest in developing renewable and alternative fuels for internal combustion engines. This study investigates the suitability of different non-edible-derived biodiesels such as cottonseed oil methyl ester (COME), honne oil methyl ester (HnOME) and honge oil methyl ester (HOME) to four-stroke, single-cylinder compression ignition (CI) engine. Engine tests were conducted to study the effect of fuel injection timing (IT), fuel injector opening pressure (IOP) and injector nozzle geometry on the performance, combustion and emission characteristics of COME, HnOME and HOME in the modified CI engine. IT was varied from 198 to 278 before top dead centre (bTDC) in steps of 48 bTDC; IOP was varied from 205 to 240 bar in steps of 10 bar. Nozzle injectors of three to five holes, each of 0.3 mm size, were selected for the study. It was concluded that a retarded IT of 198 bTDC increased IOP of 230 bar, and four-hole nozzle injector of 0.3 mm size resulted in overall better engine performance with increased brake thermal efficiency and reduced hydrocarbon and carbon monoxide smoke emissions for the fuels tested.

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“…[8,9] Likewise, Venkanna and Reddy [10] employed a conventional method to produce biodiesel from C. inophyllum oil. Recently, SathyaSelvabala et al [11] replaced the liquid acid catalyst usually used in the esterification stage with a solid acid catalyst (phosphoric acid modified b-zeolite), and the transesterification reaction was then performed using a KOH catalyst. However, the magnitude of energy involved in the separation of products, catalyst, and water is extremely high and thus less attractive to investors.…”

Section: Introductionmentioning

confidence: 99%

“…[7] Calophyllum inophyllum is a nonedible feedstock and its oil has been used to produce biodiesel with desirable fuel properties. [8][9][10][11] The oil has a typical free fatty acid (FFA) content of around 22 %, which corresponds to an acid value of 44 mg KOH g À1 . [10] As a result of its high FFA content, researchers have used multistep methods to convert C. inophyllum oil into biodiesel.…”

Section: Introductionmentioning

confidence: 99%

Conversion of Calophyllum inophyllum Oil with a High Free Fatty Acid Content to Biodiesel using a Starch‐Derived Catalyst

Ayodele

Dawodu

2014

Energy Tech

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Biodiesel was produced from Calophyllum inophyllum oil using a starch‐derived catalyst. The catalyst, obtained by the sulfonation of carbonized starch, was characterized by various techniques. The catalyst was capable of esterification and transesterification reactions under the conditions studied and it was superior to a catalyst derived from glucose. A biodiesel yield of 99.0 % was achieved under the optimized conditions. The activity of the starch‐derived catalyst can be related to its SO3H density but also to its dispersion and swelling in the reaction medium. The reaction modeled using Langmuir–Hinshelwood (LH) kinetics showed a reaction rate constant that was strongly dependent on temperature, which confirms that the reaction is favored thermodynamically by temperature. This study shows that the catalyst can find application in integrated biodiesel production processes in which both the catalyst and oil feedstock are derived from renewable sources.

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Two-step biodiesel production from Calophyllum inophyllum oil: Optimization of modified β-zeolite catalyzed pre-treatment

Cited by 72 publications

References 22 publications

Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter

Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter

Effect of injection timing, injector opening pressure and nozzle geometry on the performance of a compression ignition engine operated on non-edible oil methyl esters from different sources

Conversion of Calophyllum inophyllum Oil with a High Free Fatty Acid Content to Biodiesel using a Starch‐Derived Catalyst

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