Probabilistic multi-criteria analysis for evaluation of biodiesel production technologies from used cooking oil

Mendecka, Barbara; Lombardi, Lidia; Kozioł, J.

doi:10.1016/j.renene.2017.05.037

Cited by 28 publications

(8 citation statements)

References 41 publications

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“…The lower pyrolysis temperature range also implied lower overall energy consumption. It is interesting that a different investigation [24] of biodiesel production from used cooking oil via Energies 2020, 13, 5708 4 of 13 transesterification also indicated that NaOH catalyst delivers the most favourable option in terms of energy consumption. However, because of the higher temperature involved in pyrolysis, the cost of energy consumption will be higher than that of the transesterification process.…”

Section: Biodiesel Production From Pyrolysis Of Waste Cooking Oilmentioning

confidence: 99%

Diesel Engine Performance, Emissions and Combustion Characteristics of Biodiesel and Its Blends Derived from Catalytic Pyrolysis of Waste Cooking Oil

et al. 2020

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This paper first describes a slow catalytic pyrolysis process used for synthesizing biodiesel from waste cooking oil (WCO) as a feedstock. The influence of variations in the catalyst type (sodium hydroxide and potassium hydroxide), and catalyst concentration (0.5, 1.0, 3.0, 5.0, 7.0 and 10.0% by weight) on both the pyrolysis temperature range and biodiesel yield were investigated. The results suggested that sodium hydroxide (NaOH) was more effective than potassium hydroxide (KOH) as catalysts and that the highest yield (around 70 wt.%) was observed for a NaOH concentration of about 1 wt.% The resultant pyrolysis temperature range was also significantly lower for NaOH catalyst, thus suggesting overall lower energy consumption. Compared to conventional diesel, the synthesized biodiesel exhibited relatively similar physical properties and calorific value. The biodiesel was subsequently blended with diesel fuel in different blend ratios of 0, 20, 40, 60, 80 and 100% by volume of biodiesel and were later tested in a compression ignition engine. Brake thermal efficiency and specific fuel consumption were observed to be worse with biodiesel fuel blends particularly at higher engine load above 50%. However, NOx emission generally decreased with increasing blend ratio across all engine load, with greater reduction observed at higher engine load. Similar observation can also be concluded for CO emission. In contrast, lower hydrocarbon (HC) emission from the biodiesel fuel blends was only observed for blend ratios no higher than 40%. Particulate emission from the biodiesel fuel blends did not pose an issue given its comparable smoke opacity to diesel observed during the engine test. The in-cylinder peak pressures, temperature and heat release rate of biodiesel fuel blends were lower than diesel. Overall, biodiesel fuel blends exhibited shorter ignition delays when compared to diesel fuel.

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Section: Biodiesel Production From Pyrolysis Of Waste Cooking Oilmentioning

confidence: 99%

Diesel Engine Performance, Emissions and Combustion Characteristics of Biodiesel and Its Blends Derived from Catalytic Pyrolysis of Waste Cooking Oil

et al. 2020

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“…When maintaining the fuel supply, the A/F ratio of the engine for biodiesel fuel is always higher than that of conventional diesel fuel. This difference is because the biodiesel fuel itself already has O 2 molecules [23,24]. Meanwhile, with the same working mode of the engine, the amount of air entering the engine is the same for all fuels.…”

Section: The Effect Of Biodiesel Blendsmentioning

confidence: 99%

A Study the Effect of Biodiesel Blends and the Injection Timing on Performance and Emissions of Common Rail Diesel Engines

Nghia

Khoa

Cho³

2021

Energies

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This paper presents a study on the effect of the ratio of biodiesel and injection timing on the performance of diesel engines and their emissions. The research engine is a cylinder engine AVL-5402, simulated by software AVL-Boost. The simulated fuel includes fossil diesel and biodiesel blended with a replacement rate from 0% to 50%, with a simulation mode of 2200 (rev/min), at a rate of a 25%, 50% and 75% load. In this speed range, the engine has the lowest fuel consumption. The parameters to be evaluated are power, fuel consumption and emissions, based on the proportions of blended biodiesel. The results show that there is a relationship between the proportion of blended biodiesel, injection timing and the parameters of the engine. Specifically, the ratio of the biodiesel blend increases, injection timing tends to move closer to the top dead center (TDC), the tendency reduce engine power, fuel consumption increases, the emissions of CO and soot reduces, while NOx increases.

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“…Therefore, our proposed method is advantageous and applicable in industrial fields. Potential industrial applications include the following: Performance evaluation in production systems: production technology assessment (Mendecka, Lombardi, & Kozioł, ), sorting of production units (Omero, DAmbrosio, Pesenti, & Ukovich, ), and life cycle analysis of raw materials for production (Rajagopalan, Venditti, Kelley, & Daystar, ). Alternative options: advertising strategy selection for price‐sensitive products (Yuan, Song, & Yang, ) and project portfolio optimization (Yang, Song, Huang, & Xia, ). Cooperative decision making: cleaner production performance evaluation of iron and steel enterprises (Gong, Guo, Zhang, & Cheng, ). Logistics and supply chain management: selection of reverse logistics suppliers (Govindan et al, ) and supply chain risk assessment (Chaudhuri, Mohanty, & Singh, ). Correspondingly, there are potential beneficiaries of our technique in different stages of the decision‐making process, depending on the specific decision‐making environment and process. For example, in production systems, the beneficiaries may be production technicians or research and development personnel, and in a logistics and supply chain, the beneficiaries may be third‐party logistics companies.…”

Section: Numerical Examplementioning

confidence: 99%

A stochastic multicriteria acceptability analysis–evidential reasoning method for uncertain multiattribute decision‐making problems

et al. 2019

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Evidential reasoning (ER) is an effective approach for assessing alternatives with uncertain attribute values in the context of decision making. For the ER approach to be able to handle variations in the weights of uncertain attributes in an appropriate manner, this paper proposes a method to solve problems of uncertain multiattribute decision making that involve both uncertain attribute values and uncertain attribute weights, which this method does by combining the ER approach and stochastic multicriteria acceptability analysis‐2 (SMAA‐2). First, the uncertainty in attribute values is described by using a belief decision matrix as in the ER approach. The analytical ER algorithm is then used to create the utility function in the SMAA‐2 model, and that function is used to calculate the probability of different sorting positions of the decision units under weight‐related restrictions. Finally, the results of ranking are obtained by combining the sorting weights. An example is provided to verify the effectiveness of the proposed method.

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Probabilistic multi-criteria analysis for evaluation of biodiesel production technologies from used cooking oil

Cited by 28 publications

References 41 publications

Diesel Engine Performance, Emissions and Combustion Characteristics of Biodiesel and Its Blends Derived from Catalytic Pyrolysis of Waste Cooking Oil

Diesel Engine Performance, Emissions and Combustion Characteristics of Biodiesel and Its Blends Derived from Catalytic Pyrolysis of Waste Cooking Oil

A Study the Effect of Biodiesel Blends and the Injection Timing on Performance and Emissions of Common Rail Diesel Engines

A stochastic multicriteria acceptability analysis–evidential reasoning method for uncertain multiattribute decision‐making problems

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