Optimization of operating factors and blended levels of diesel, biodiesel and ethanol fuels to minimize exhaust emissions of diesel engine using response surface methodology

Khoobbakht, Golmohammad; Najafi, G.; Karimi, Mohammad; Akram, Asadollah

doi:10.1016/j.applthermaleng.2015.12.143

Cited by 94 publications

(38 citation statements)

References 36 publications

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“…Biodiesel has drawn attention in the last decade as a low toxicity, biodegradable, renewable source of fuel with generally lower exhaust emissions and reduced lifecycle GHG implications for CO, CO 2 and SO x in comparison with petroleum fuels. Therefore biodiesel is mostly considered an environmentally friendly alternative liquid fuel and energy product …”

Section: Introductionmentioning

confidence: 99%

“…L imited energy reserves and increasing environmental pressure on greenhouse gases (GHGs) from fossil fuels has caused biodiesel (fatty acid alkyl esters) to become a topic of interest in and target of energy policy in many countries. 1,2 Biodiesel has drawn attention in the last decade as a low toxicity, biodegradable, renewable source of fuel with generally lower exhaust emissions and reduced lifecycle GHG implications for CO, CO 2 and SO x in comparison with petroleum fuels. Th erefore biodiesel is mostly considered an environmentally friendly alternative liquid fuel and energy product.…”

Section: Introductionmentioning

confidence: 99%

“…Th erefore biodiesel is mostly considered an environmentally friendly alternative liquid fuel and energy product. 1,3 Biodiesel is produced by esterification of fatty acids or transesterification of triglycerides with short chain alcohols like methanol and ethanol. Methanol is mostly used Modeling and Analysis: Multi-objective optimization of biodiesel production M Karimi, B Jenkins, P Stroeve in this fi eld also is net energy yield through biodiesel.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐objective optimization of transesterification in biodiesel production catalyzed by immobilized lipase

Karimi

Jenkins

Stroeve

2016

Biofuels Bioprod Bioref

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In order to comply with criteria of green energy concepts and sustainability, a multi-objective analysis was performed for the transesterification of waste cooking oil (WCO) using immobilized lipase. Response surface methodology and artificial neural networks, followed by multiple response optimization through a desirability function approach were applied to individually and simultaneously evaluate the fatty acid methyl esters (FAME) content and the exergy effi ciency. Reaction time and concentrations of methanol, immobilized lipase and water were considered as the design variables in maximizing FAME content and exergy effi ciency. The maximum individual desirability of FAME content was predicted to be 95.7% corresponding to a methanol to WCO molar ratio of 6.7, catalyst concentration of 45%, water content of 9% and reaction time of 25 h. However, based on the simultaneously optimization of both the FAME content and the exergy effi ciency, the maximum overall desirability was found at a methanol to WCO molar ratio of 6.7, catalyst concentration of 35%, water content of 12% and reaction time of 20 h to achieve FAME content of 88.6% and exergy effi ciency of 80.1%, respectively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi‐objective optimization of transesterification in biodiesel production catalyzed by immobilized lipase

Karimi

Jenkins

Stroeve

2016

Biofuels Bioprod Bioref

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“…The multivariate techniques are fast, effective, and provide optimization of more than one variable simultaneously [31][32][33]. CCD, as a type of RSM method, is an independent, rotatable, orthogonal and quadratic design [24].…”

Section: Experimental Designmentioning

confidence: 99%

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

Ayati

Moghaddam²,

Tanhaei³

et al. 2017

Maced. J. Chem. Chem. Eng.

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In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al 2 O 3 /Fe 3 O 4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed to find the relationship between the effective adsorption parameters on the MO removal efficiency as the response. The statistical parameters of the derived model were acquired: R 2 = 0.9799 and F value = 47.07. Finally, non-linear optimization was carried out and values of 6.5, 0.70 g l -1 , 30 ppm, and 60 min were obtained as the optimum values for pH, adsorbent dosage, initial concentration, and contact time, respectively, while the predicted MO removal efficiency was found to be 96.8 ± 2.2% (with a 95% confidence level). This was in agreement with the experimental response of 96.5 ± 1.4%.Keywords: adsorption; optimization; chitosan; magnetic; response surface methodology ПРИМЕНА НА МЕТОДОЛОГИЈАТА НА ПОВРШИНА НА ОДГОВОР ПРИ ОПТИМИЗАЦИЈА НА АТСОРПТИВНО ОТСТРАНУВАЊЕ НА МЕТИЛ ОРАНЖ СО НАНОКОМПОЗИТ ОД МАГНЕТИЗИРАН ХИТОСАНВо ова истражување, со примена на методот на експериментален дизајн, беше оптимизиран атсорпцискиот процес на отстранување на метил оранж (МО) со магнетизиран хитозан со јадро од Al 2 O 3 /Fe 3 O 4 за да се максимизира ефикасноста на отстранувањето. Беше применета методологијата на површината на одговор (RSM) заснована на централен копмпозитен дизајн (CCD) за да се најде зависноста меѓу ефективните атсорпциски параметри за ефикасноста на отстранувањето на МО како одговор. Беа добиени статистички параметри изведени од моделот R 2 = 0,9799 и вредноста F = 47,07. На крајот, беше извршена нелинеарна оптимизадција и беа добиени следниве соодветни оптимални вредности за рН, доза на атсорбенсот, почетна концентрација и време на контакт од 6,5, 0,70 g l -1 , 30 ppm и 60 min, соодветно, додека предвидената ефикасност на отстранување изнесуваше 96,8 ± 2,2% (со 95% ниво на веродостојност) што беше во согласност со експериментално добиената вредност од 96,5 ± 1,4%.Клучни зборови: атсорпција; оптимизација; хитозан; магнетски својства; методологија на површина на одговор

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“…One of the common methods to improve the properties of vegetable oils is transesterification reaction [13][14][15]. Various studies have been conducted on the production of biodiesel from vegetable oils [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. D. Patil et al [34] evaluated three different types of feedstocks, namely, waste cooking oils, jatropha curcas, and camelina, for biodiesel production under various conditions.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Camelina “Soheil” as a Novel Biodiesel Fuel on the Performance and Emission Characteristics of Diesel Engine

et al. 2018

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Abstract:In this research, a new cultivar of Camelina "Soheil" seed oil (CSO) was investigated as a novel feedstock for biodiesel production. Maximum oil content of CSO seed was about 29%. Physical and chemical characteristics of CSO were investigated. The biodiesel production process was optimized by using the response surface methodology (RSM) reaction parameters, including molar ratio (methanol to oil), reaction time, and concentration of catalyst are studied. The result showed that the conversion of biodiesel was 98.91% under the optimized conditions of 10.18:1 molar ratio and 1.15 wt % concentration of catalyst for a reaction time of 7.33 min. By investigating the properties of the fuel, it turned out that biodiesel from new cultivar of CSO oil complied with the limits prescribed in the ASTM D6751 standards, and that this seed oil could be introduced as a new feedstock for biodiesel production. Also, the performance and emission of a diesel engine were investigated with CSO biodiesel. All of the engine experiments were performed under the constant speed of 2100 rpm at loads of 0%, 25%, 50%, 75%, and 100%. Results indicated that by using the biodiesel-diesel blends, the brake power, and the CO 2 and NOx emissions increased, while the SFC and CO and UHC emissions decreased.

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Optimization of operating factors and blended levels of diesel, biodiesel and ethanol fuels to minimize exhaust emissions of diesel engine using response surface methodology

Cited by 94 publications

References 36 publications

Multi‐objective optimization of transesterification in biodiesel production catalyzed by immobilized lipase

Multi‐objective optimization of transesterification in biodiesel production catalyzed by immobilized lipase

Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

The Effects of Camelina “Soheil” as a Novel Biodiesel Fuel on the Performance and Emission Characteristics of Diesel Engine

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