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Article

Assessment of Three Recycling Pathways for Waste Cooking Oil as Feedstock in the Production of Biodiesel, Biolubricant, and Biosurfactant: A Multi-Criteria Decision Analysis Approach

Department of Industrial Engineering (DIIn), University of Salerno, via Giovanni Paolo II, Fisciano, 132-8404 Salerno, Italy
*
Author to whom correspondence should be addressed.
Recycling 2023, 8(4), 64; https://doi.org/10.3390/recycling8040064
Submission received: 6 May 2023 / Revised: 12 July 2023 / Accepted: 17 August 2023 / Published: 20 August 2023
(This article belongs to the Special Issue Feature Papers in Recycling 2023)

Abstract

:
The management of waste cooking oil (WCO) often poses significant challenges. The improper disposal of WCO results in negative environmental impacts and economic losses. However, from a circular economy perspective, WCO can be recycled and used as a sustainable feedstock for numerous industrial products, replacing virgin vegetable oils. This approach enables the recovery of resources while simultaneously addressing the problem of WCO disposal. By employing a multi-criteria decision analysis (MCDA) approach, the study assesses three alternative recycling pathways for WCO used as a feedstock in the production of (A1) biodiesel, (A2) biolubricant, and (A3) biosurfactant. The aim is to identify the optimal alternative, taking into account environmental, economic, and technical factors. The procedure involved a team of chemical engineers working in the WCO recycling sector who were selected as decision makers. The ‘priority scale’ combined with the Paired Comparison Technique was employed as a weighting method to evaluate the selected criteria. The results revealed that the decision makers considered environmental sustainability as the most crucial evaluation criterion, followed by the economic criterion. In contrast, the aspect of process management was deemed less significant. Among the compared alternatives, utilizing WCO as a feedstock for biosurfactant production was assessed as the optimal WCO recycling solution. This alternative not only demonstrated the lowest coefficient variation but was also deemed the most favourable option. Biolubricant production was determined to be the second-best alternative. The adopted MCDA approach proved to be a reliable and effective tool, enabling the clear identification of the preferred WCO recycling alternative among those assessed. This was achieved through the utilization of the decision makers’ expertise and knowledge.

Graphical Abstract

1. Introduction

Waste cooking oil (WCO) is a food waste generated domestically and industrially as a result of cooking and frying food using edible vegetable oil [1,2].
WCOs primarily consist of triglycerides, monoglycerides, diglycerides, and free fatty acids, with varying amounts typically ranging from 5 to 20% by weight. These components are generated during the frying process [3]. The physicochemical properties of WCO largely rely on the cooking process. When cooking oil is repeatedly used, it tends to exhibit higher viscosity and darken in color. These changes indicate an increase in acidity and contribute to an unpleasant odor in the WCO [4].
The current global production of WCO is approximately 15 million tons per year [5]. This amount corresponds to 20–32% of the total consumption of edible oil [1,6]. When considering European countries, around one million tons of WCO are generated each year [3]. Over 60% of this amount is improperly disposed of, and in some countries, the disposal may even be illegal [7].
The uncontrolled disposal of WCO results in negative environmental impacts and economic losses [8]. When WCO is disposed of into the sewer system, it creates blockages that impede the flow of sewage to wastewater treatment plants [4]. Moreover, this improper disposal leads to several other consequences. These include the formation of foam, an increase in the organic load on water sources, a reduction in dissolved oxygen concentration, and an alteration of ecosystem balance [9]. If WCO is dumped into municipal solid waste landfills, it causes water and soil pollution [4]. In addition to the negative environmental impacts, the energy and economic costs associated with the improper discard of waste cooking oil (WCO) are estimated to be around 3 kWh/kg and approximately 0.45 EUR/kg, respectively [10].
From a circular economy perspective, WCO can be viewed as a promising and sustainable feedstock for various industrial products [11]. This approach aims to maximize the utilization of biowastes by recovering valuable resources and simultaneously addressing the problem of disposal [12]. In this context, the most common application of WCO is to use it as a feedstock for biodiesel synthesis [4]. Additionally, in Italy, reported data indicate that 90% of the collected WCO is currently used for biofuel production, which aligns with the general pattern observed in Europe [10].
Recently, the oleochemical potential of WCO has been explored to determine its suitability as a substitute for virgin vegetable oils in the production of various value-added green chemicals. This includes biolubricants and biosurfactants [4,6]. According to Foo et al. (2022), the estimated global production of WCO is sufficient to replace virgin vegetable oil as a raw material in oleochemical industries. This is true even though a significant portion of WCO is currently being used as a feedstock for biodiesel production [4].
Utilizing waste cooking oil (WCO) as a substitute for virgin vegetable oils in industrial applications offers significant advantages in both environmental and economic terms [13]. Additionally, it helps resolve the conflict with the food sector over crop areas [14,15]. In recent research, Zhao et al., 2022 conducted a study to investigate the rheological properties and microscopic characteristics of rejuvenated asphalt [16]. They explored the effects of different components derived from waste cooking oil (WCO) on these properties. In another study, Zhao et al., 2022 evaluated how the chemical component characteristics of WCO affect the physicochemical properties of aging asphalt [17].
The study focuses on assessing three different recycling pathways available in the market for WCO used as a feedstock in the production of biodiesel (A1), biolubricant (A2), and biosurfactant (A3). The primary objective of the study was to identify the most suitable solution for valorizing WCO, considering technical, economic, and environmental factors. To achieve this, a multi-criteria decision analysis (MCDA) approach was employed, involving a team of experts as decision makers.
The study first provides background information about the three recycling pathways for utilizing Waste Cooking Oil (WCO) as a feedstock in the synthesis of A1_biodiesel, A2_biolubricant, and A3_biosurfactant. These details are presented in the following three subsections, prior to discussing the methodology, results and discussion of the study.

1.1. WCO As Feedstock for Biodiesel (A1_Biodiesel)

Diesel is one of the most commonly used fossil fuels worldwide as an energy source for vehicles, machinery, and electricity generation [18]. However, in an effort to mitigate the depletion of fossil resources and address the global warming issue, biodiesel has garnered substantial attention in recent years [19].
Biodiesel can be defined as a renewable fuel that comprises monoalkyl esters of long-chain fatty acids obtained from a sustainable lipid feedstock, such as vegetable oil [15]. Compared to fossil fuels, biodiesel offers significant advantages, including renewability, biodegradability, lower carbon emissions, lower toxicity levels, a low flash point, and engine lubrication properties [18]. However, the primary barrier to the widespread commercialization of biodiesel is its high production cost [20], with feedstock accounting for approximately 70–80% of the total biodiesel production expenses [9,21]. In this regard, WCO has the potential to serve as a viable fuel supplement [22], as it stands out as one of the most economically favorable feedstocks for biodiesel production [19,23]. WCO exhibits several advantageous characteristics, including ready availability, low cost, high product yield, and environmental friendliness [9]. Utilizing WCO as a bioenergy resource resolves the challenges associated with first-generation bioenergy, particularly biofuels derived from virgin vegetable oils, such as food security concerns and high fertilizer requirements [21].
Numerous studies have been conducted on biodiesel production from WCO, investigating various production technologies [9]. However, the most commonly employed pathway is transesterification, as this process yields high-quality fuel. Transesterification involves the reaction of oil with alcohol, resulting in the formation of esters and glycerol [4].
When it comes to the environmental sustainability of WCO biodiesel, several authors concur that it yields significantly lower impacts compared to fossil diesel [7,10] and biodiesel derived from virgin vegetable oils [19]. Different perspectives arise when considering the economic sustainability of WCO-based biodiesel. Some technoeconomic studies indicate that utilizing WCO as a feedstock for biodiesel production can be financially viable, presenting economic benefits [12,15]. On the other hand, other authors have reported that the total production cost of WCO biodiesel is higher compared to fossil diesel [7]. This difference is attributed to the relatively high cost of the necessary pretreatment process, despite WCO having a low commercial price [20].

1.2. WCO As Feedstock for Biolubricant Production (A2_Biolubricant)

Lubricants are oil-based chemicals that create a thin protective layer between two moving surfaces, effectively reducing friction and wear [13]. Furthermore, they find widespread use in inhibiting oxidation, preventing corrosion, minimizing overheating, and providing a surface coating to safeguard against dust, dirt, and water [24]. Lubricants are primarily manufactured from mineral oil, a derivative of petroleum that is non-renewable, exhibits low biodegradability, and possesses high toxicity levels [4].
Approximately 40 million metric tons of lubricating oils are produced annually worldwide, with nearly half of this quantity being lost to the environment [24]. Furthermore, non-renewable petroleum-based lubricants currently dominate the global lubricant market, accounting for 85–90% of its share [14,25].
Mineral lubricants pose significant environmental hazards. A mere kilogram of mineral lubricant has the potential to contaminate up to one million liters of water [25], contributing to chronic respiratory issues, inflammation, and carcinogenic effects [24]. Moreover, several researchers and industry experts have estimated that fossil-based oils may soon become unavailable [26].
Due to their biodegradability and sustainability, biolubricants produced from vegetable oils have been gaining increasing attention as viable alternatives to petroleum-based lubricants [14]. Moreover, vegetable oils exhibit superior physicochemical properties compared to mineral lubricants, including a higher viscosity index, higher flash point, lower volatility, and better metal adherence [13]. However, the production cost of biolubricants derived from virgin oils is 70 to 80% higher [4], and the use of edible oils for industrial purposes may result in a scarcity of cooking oil for food [24]. Therefore, the utilization of WCO, which contains edible oils, is a preferable option as a feedstock for biolubricant production due to its relatively low cost and environmentally friendly nature [4].
Vegetable oils, including WCO, cannot be directly used as lubricants due to their low oxidation stability and high pour point [25]. Therefore, chemical modifications such as hydrolysis, esterification, transesterification, epoxidation, and estolide formation are necessary to obtain high-performance biolubricants [3,27]. Several studies have explored the potential of WCO in biolubricant synthesis by employing combinations of these reactions [3,4,24], and Joshi et al., 2023 [3] extensively discussed various routes for biolubricant production from WCO and the implications of utilizing specific reaction combinations. Regardless of the chosen production process, the conducted research has consistently demonstrated satisfactory performance in terms of thermal–oxidative stability, oxidation stability, and other tribological properties of WCO-based lubricants [4]. Moreover, certain studies have highlighted that such biolubricants exhibit better environmental sustainability and human health characteristics than mineral oil-based lubricants while also having lower total production costs [5,28].
In conclusion, WCO emerges as a cost-effective, easily accessible, high-performance, sustainable, and environmentally friendly feedstock for biolubricant production [9].

1.3. WCO As Feedstock for Biosurfactant Production (A3_Biosurfactant)

Surfactants play a crucial role as essential bulk chemicals utilized in nearly every aspect of human daily life, ranging from detergents, cleaning products, and cosmetics to food, textiles, pharmaceuticals, mining, agriculture, paper production, and more [11].
The majority of surfactants currently in use are petroleum-based and are produced chemically, which is considered a primary cause of surfactant toxicity [29]. To address this critical issue, there has been significant scientific and industrial interest in bio-based surfactants due to their renewable, environmentally friendly nature and biodegradability [27]. However, the commercial-scale production of bio-based surfactants is challenging due to the high cost of raw materials [4]. Nevertheless, the utilization of WCO as a substrate can significantly reduce overall production costs [30].
WCO presents a wide range of potential applications as a substitute for petroleum-based surfactants. It primarily consists of triglyceride esters of glycerol with long-chain fatty acids (>C12), particularly oleic acid and linoleic acid [31]. These abundant fatty acids offer distinct advantages as starting materials to produce bio-based surfactants [31]. Therefore, the investigation of WCO in the synthesis of bio-based surfactants holds significant importance, as it could pave the way for the commercialization of bio-based surfactants as an alternative to fossil resources [4]. Extensive research has been carried out in this field, highlighting the potential of WCO in surfactant synthesis.
Several studies have directed their attention to the production of ethyl ester sulfonate (MES) utilizing WCO as a feedstock [2,32]. MES is recognized as one of the leading renewable surfactants [9]. It is an environmentally friendly anionic surfactant derived from oleochemicals, and its synthesis is relatively straightforward. Furthermore, MES finds wide application in detergent formulations [2].
The production process of MES using WCO as a feedstock involves several steps. Firstly, WCO undergoes pretreatment to prepare it for further processing. Next, transesterification of the treated WCO is carried out to convert it into methyl esters. Finally, the methyl esters are further transformed into MES using sodium bisulfite (NaHSO3) as a sulfonating agent [9]. When compared to petroleum-based detergents, MES exhibits superior detergency even at lower doses. Additionally, MES demonstrates lower toxicity and better skin compatibility [2].
In terms of environmental implications, several studies have examined the environmental performance of biodetergent production using WCO as a feedstock [1]. These studies have consistently shown that the use of WCO leads to significant reductions in environmental impacts compared to the use of other feedstocks [33].

2. Methodology

2.1. Multi-Criteria Decision Analysis (MCDA) Procedure

Multi-criteria decision analysis (MCDA) is a valuable decision-making tool utilized to determine the optimal alternatives by comprehensively evaluating various criteria and their relative importance (i.e., weight) in the decision-making process [34]. MCDA is particularly suitable in contexts with multiple objectives, incommensurable criteria, mixed data, and the involvement of multiple participants, as it offers ease of use and facilitates analysis [35,36].
In an MCDA procedure, each alternative is evaluated (i.e., ‘measured’) with respect to each criterion. The basic structure consists of an evaluation matrix (namely the alternative matrix) with evaluation criteria in the column vector, alternatives in the row vector, and a weight vector representing the values of relative importance assigned to the criteria by the decision makers, with a unit sum.
A group of ten senior chemical engineers, each possessing more than ten years of experience, were purposefully selected from the WCO recycling sector. These senior engineers were designated as decision makers and actively participated in identifying alternatives for comparison and defining the evaluation criteria used in the analysis. Their expertise encompassed various fields within chemical engineering, including process engineering, reaction engineering, separation technology, sustainability and environmental engineering, and process safety.
After identifying the alternative solutions for comparison (as described in the previous section), the applied MCDA procedure can be divided into the following steps: (1) defining the criteria for evaluating the alternatives; (2) determining the weighting criteria and calculating the weight vectors; (3) establishing and processing the alternative matrix, and calculating the priority index; (4) selecting the best alternative.

2.1.1. Defining the Criteria for Evaluating the Alternatives

Table 1 presents the four evaluation criteria that were defined to compare the three WCO recycling alternatives. These criteria allow for assessing the economic and environmental performance of the alternatives, as well as evaluating their technical performance in terms of management complexities and process yields.
All criteria are categorized into three levels of values, with higher levels indicating better performance of the alternative for that criterion. Each decision maker assessed each alternative for all evaluation criteria by completing his/her alternative matrix where alternatives are listed in columns and criteria are listed in rows.

2.1.2. Determining the Weighting Criteria and Calculating the Weight Vectors

According to De Feo and De Gisi (2010) [37], the priority scale was adopted to define the criteria weights vector for each decision maker. This technique involves assigning criteria to different levels on a ladder, where a higher level indicates higher importance. Further details regarding the description and structure of this technique can be found in De Feo and De Gisi (2010) [37]. Each decision maker also provided their own priority scale.
The conversion of each priority scale into the corresponding criteria weights vector is performed using the Paired Comparison Technique [37], which is based on the following three levels of judgment:
-
1 = the criterion is more important than another;
-
0 = the criterion is less important than another;
-
0.5 = the two criteria have the same importance.
This technique allows for a systematic comparison of criteria and facilitates the determination of their relative weights. For each criterion, the judgment values are recorded in a pairwise comparison matrix. To prevent the possibility of a null value for any evaluation criterion, a dummy criterion is included in the matrix, always assigned a value of 0 when compared to other criteria. The weights vector for each decision maker is calculated by taking the ratio between the sum of judgment values assigned to each criterion and the sum of judgment values for all criteria.

2.1.3. Establishing and Processing the Alternative Matrix, and Calculating the Priority Index

Following the methodology outlined in De Feo and De Gisi (2010) [37], the evaluation process involved constructing a solved alternative matrix, where the alternatives were represented as column headings and the evaluation criteria as rows. The matrix values were determined using the Simple Additive Weighting (SAW) method, which involved multiplying the performance values of each alternative for each criterion (extracted from the alternative matrix) by the corresponding values of the weighting vector. The row-wise summation of values in the solved alternative matrix yielded the priority indices for each alternative. Thus, for each decision maker, a solved alternative matrix and a priority index consisting of three values were computed.

2.1.4. Selecting the Best Alternative

The best WCO recycling alternative will be the one that achieves the highest average value of the priority indexes corresponding to the ten decision makers.

3. Results and Discussion

This section shows the main results of the study divided into two sub-sections. The first part reports the results about the priority scales provided by all decision makers and the weights vector values calculated with the paired comparison technique, while in the second part, the results about the priority index values used to identify the best alternative of WCO recycling are reported with a focus on the assessment of each alternative in function of each evaluation criterion adopted.

3.1. Weights Vector Results

Using the priority scale approach, each decision maker provided their preferred order of the proposed alternatives. The priority scales of all decision makers are presented in Table 2. Following the same procedure outlined in previous studies, the weight vector values (shown in Figure 1) were calculated from the evaluation criteria’s priority scale provided by each decision maker using a paired comparison matrix [37,38].
Figure 1 depicts the results, indicating that the environmental sustainability aspect (C2 criterion) holds the highest level of importance based on the perspective of the decision makers in the analysis. This finding is consistent with the study conducted by Gherghel et al., 2020 [38], which underscored the paramount importance of minimizing greenhouse gas emissions in their MCDA study on identifying the optimal treatment scheme for a wastewater treatment plant. Similarly, Soltani et al., 2015 [39] observed a similar trend, emphasizing the significant focus on sustainability criteria in various MCDA studies within the waste management sector.
In alignment with findings from other similar studies, the economic aspect was consistently deemed highly significant in the assessment of WCO recycling processes [38]. However, in contrast, the management aspect (C1 criterion) of the WCO recycling processes was generally perceived as a relatively less important criterion. These observations regarding the economic aspect align with previous research that highlights the importance of economic viability and cost-effectiveness in decision-making processes related to recycling and waste management [38]. The emphasis placed on economic considerations can be attributed to factors such as resource optimization, profitability, and financial feasibility. On the other hand, the relatively lower importance assigned to the management aspect of WCO recycling processes suggests that decision makers in the analysis placed greater emphasis on other criteria, such as environmental sustainability or efficiency. This finding implies that while management considerations play a role in the overall assessment, they may not carry the same weight as other factors when evaluating the effectiveness and desirability of WCO recycling alternatives. It is worth noting that the varying degrees of significance assigned to different criteria in the assessment reflect the diverse perspectives and priorities of the decision makers involved. The relative importance of each criterion can vary depending on the specific context, stakeholder preferences, and the overall goals and objectives of the evaluation.
The weight vector was utilized to solve the alternative matrix for each decision maker, following the methodology described in the materials and methods section. The solved alternative matrices, along with the completed alternative matrices, Priority Scales, and weights vectors, are documented in the Supplementary Material for all the decision makers.

3.2. Selection of the Best Alternative of WCO Recycling

Using the resolved alternative matrixes for each decision maker, the priority index values (shown in Table 3) were calculated, following the methodology described in the materials and methods section. Additionally, at the bottom of Table 3, the average priority index value for each alternative is reported, along with the corresponding standard deviation.
As shown in Table 3, the utilization of WCO as a feedstock for biosurfactant production was determined to be the most favorable alternative for WCO recycling, preferred by 50% of the decision makers. On the other hand, the production of biolubricant was considered the second-best alternative, while the production of biofuel from WCO was deemed the least favorable. Moreover, the biosurfactant production alternative exhibited the lowest coefficient of variation, with a value of 12.6%. In contrast, the other alternatives had higher coefficient values: 22.4% for WCO used in biolubricant production and 32.2% for biofuel production from WCO.
The varying ranges of the three alternatives are also depicted in Figure 2, which graphically presents the average values of the normalized priority index for each alternative.
These results indicate that the selection of biosurfactant production as the optimal alternative for WCO recycling is evident and trustworthy. In contrast, the assessment of the biofuel production alternative exhibited the widest variation range, highlighting substantial disagreement among decision makers.
Another significant aspect is the emphasis on assessing the WCO recycling alternatives based on different criteria to determine if the optimal alternative varies when considering variations in the overall results. In this context, Table 4 presents the comprehensive resolved alternative matrix, wherein each value represents the sum of all corresponding values from the resolved alternative matrices for each decision maker.
Next, by normalizing the results presented in Table 4 relative to the maximum value achieved by the alternatives for each criterion, the findings shown in Figure 3 were obtained. It is noteworthy that the evaluation of alternatives for each criterion reaffirmed the overall results, underscoring that decision makers regarded biosurfactant production as the optimal WCO recycling alternative in terms of economic and environmental considerations, as well as the management and efficiency of the recycling process.
The efficiency criterion, which evaluates the product yield efficiency of WCO recycling alternatives, and the amount of waste produced during the process, yielded slightly different findings compared to the overall results. Specifically, in terms of recycling process efficiency, decision makers favored biodiesel production as a superior WCO recycling alternative over biolubricant production.
The adopted MCDA approach, previously employed in similar studies [37,38,40], showcased its reliability and effectiveness in clearly identifying the preferred WCO recycling alternative from the evaluated options. This methodology enables the utilization of decision makers’ expertise and knowledge, streamlining the selection process and yielding dependable results for identifying the optimal solution. However, it is crucial to note that all assessed WCO recycling alternatives currently face significant challenges that need to be addressed to promote the widespread utilization of WCO as a feedstock in line with circular economy goals [6].
Enhancing the collection of waste cooking oil (WCO) presents one of the primary challenges. Previous studies focusing on the economic and environmental evaluation of WCO recycling alternatives have highlighted the difficulties in effectively collecting WCO as a major concern [7,10]. Establishing a suitable municipal-scale network for WCO collection and management is therefore critical, considering factors such as collection point locations, container volumes, collection vehicle routes, collection point capacities, and collection frequency [4]. Furthermore, citizen cooperation plays a vital role in improving the WCO recovery rate [41,42]. Research on identifying the primary barriers to efficient WCO collection emphasizes the importance of involving citizens in effective collection programs and conducting environmental education campaigns to enhance their environmental awareness [8].
Additional challenges that need to be addressed include the improvement of WCO pretreatment and purification processes due to its high impurity content and compositional variations [9,19]. Furthermore, the implementation of appropriate policies and economic incentives is essential [4,19]. Thus, future efforts in these areas are crucial to promoting the large-scale valorization of WCO as a feedstock, making a significant contribution to the implementation of circular economy principles.

4. Conclusions

This study aimed to assess three distinct alternatives for waste cooking oil (WCO) recycling: (1) WCO used as a feedstock for biodiesel production, (2) WCO utilized for biolubricant production, and (3) WCO employed in biosurfactant production. The evaluation of these alternatives considered environmental, economic, and technical aspects by employing a multi-criteria decision analysis (MCDA) approach. The decision-making process involved a group of chemical engineers specializing in the WCO recycling sector.
By employing the priority scale along with the paired comparison technique, it was determined that the decision makers involved in the study regarded the environmental sustainability aspect of the WCO recycling process as the most crucial evaluation criterion. The economic criterion followed closely in terms of importance. On the other hand, the aspect of process management was deemed to be of lesser significance.
The utilization of WCO as a feedstock for biosurfactant production was determined to be the optimal WCO recycling alternative, with biolubricant production considered the second-best solution. Additionally, biosurfactant production exhibited the lowest coefficient of variation, indicating a clear and reliable identification of the best alternative.
The adopted MCDA approach proved to be a dependable and effective tool for clearly identifying the preferred WCO recycling alternative among the options evaluated. This streamlined yet reliable procedure harnessed the expertise and knowledge of the decision makers to select the optimal solution from the available alternatives.
However, in order to implement WCO recycling on an industrial scale in alignment with circular economy targets, several critical issues need to be addressed. These include challenges associated with WCO collection, transportation, as well as pretreatment and purification processes. Therefore, future research focusing on these aspects is essential to identify potential solutions and provide recommendations for overcoming the difficulties encountered in large-scale WCO recycling.
A limitation of the study is that it relies on the evaluation of ten decision makers regarding the management, environment, economy, and efficiency of WCO in the process of preparing three alternative raw materials. The evaluation is primarily qualitative, categorized as low, medium, or high, and lacks quantitative calculations. However, the study employs an MCDA procedure that effectively captures the expertise of the participating experts. It incorporates calculations to transform qualitative judgments into measurable values for comparison. It is worth noting that other researchers in different countries could replicate this procedure to verify the obtained results.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/recycling8040064/s1, Figure S1. Priority Scale for Decision maker 1; Figure S2. Priority Scale for Decision maker 2; Figure S3. Priority Scale for Decision maker 3; Figure S4. Priority Scale for Decision maker 4; Figure S5. Priority Scale for Decision maker 5; Figure S6. Priority Scale for Decision maker 6; Figure S7. Priority Scale for Decision maker 7; Figure S8. Priority Scale for Decision maker 8; Figure S9. Priority Scale for Decision maker 9; Figure S10. Priority Scale for Decision maker 10; Table S1. Completed alternative matrix for Decision maker 1; Table S2. Weights vector for Decision maker 1; Table S3. Solved alternative matrix and Priority index for Decision maker 1; Table S4. Completed alternative matrix for Decision maker 2; Table S5. Weights vector for Decision maker 2 Table S6. Solved alternative matrix and Priority index for Decision maker 2; Table S7. Completed alternative matrix for Decision maker 3; Table S8. Weights vector for Decision maker 3; Table S9. Solved alternative matrix and Priority index for Decision maker 3; Table S10. Completed alternative matrix for Decision maker 4; Table S11. Weights vector for Decision maker 4; Table S12. Solved alternative matrix and Priority index for Decision maker 4; Table S13. Completed alternative matrix for Decision maker 5; Table S14. Weights vector for Decision maker 5; Table S15. Solved alternative matrix and Priority index for Decision maker 5; Table S16. Completed alternative matrix for Decision maker 6; Table S17. Weights vector for Decision maker 6; Table S18. Solved alternative matrix and Priority index for Decision maker 6; Table S19. Completed alternative matrix for Decision maker 7; Table S20. Weights vector for Decision maker 7; Table S21. Solved alternative matrix and Priority index for Decision maker 7; Table S22. Completed alternative matrix for Decision maker 8; Table S23. Weights vector for Decision maker 8; Table S24. Solved alternative matrix and Priority index for Decision maker 8; Table S25. Completed alternative matrix for Decision maker 9; Table S26. Weights vector for Decision maker 9; Table S27. Solved alternative matrix and Priority index for Decision maker 9; Table S28. Completed alternative matrix for Decision maker 10; Table S29. Weights vector for Decision maker 10; Table S30. Solved alternative matrix and Priority index for Decision maker 10.

Author Contributions

Conceptualization, G.D.F.; methodology, G.D.F.; software, L.G.; validation, G.D.F., C.F. and L.S.O.; formal analysis, C.F.; investigation, G.D.F., C.F., L.G. and L.S.O.; resources, L.S.O.; data curation, G.D.F., L.G. and C.F.; writing, original draft preparation, C.F.; writing, review and editing, G.D.F.; visualization, L.G. and L.S.O.; supervision, G.D.F. and L.S.O.; project administration, G.D.F.; funding acquisition, L.S.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Not Applicable.

Data Availability Statement

Data is contained within the article or supplementary material.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Weights vector values for the evaluation criteria adopted on the basis of the priority scales of all decision makers.
Figure 1. Weights vector values for the evaluation criteria adopted on the basis of the priority scales of all decision makers.
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Figure 2. Average values of the normalized priority index with the standard deviation.
Figure 2. Average values of the normalized priority index with the standard deviation.
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Figure 3. Alternatives assessment in function of the four evaluation criteria adopted.
Figure 3. Alternatives assessment in function of the four evaluation criteria adopted.
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Table 1. Criteria established for evaluating the three alternative processes for WCO recycling.
Table 1. Criteria established for evaluating the three alternative processes for WCO recycling.
NameCriteriaDescriptionValues (n)
C1-ManagementProcess management aspectThe assessment includes an evaluation of management considerations associated with the WCO recycling alternatives, such as process safety measures, labour requirements, and other relevant factors.1 = low ease of management; 2 = medium ease of management; 3 = high ease of management.
C2-EnvironmentEnvironmental sustainability aspect of the processThe assessment encompasses the evaluation of the environmental impact associated with the WCO recycling alternatives, specifically in comparison to the conventional process that utilizes virgin materials. This comparison highlights the potential environmental benefits of utilizing WCO as a feedstock.1 = low environmental sustainability; 2 = medium environmental sustainability; 3 = high environmental sustainability.
C3-EconomyEconomic sustainability aspect of the processThe assessment includes a comprehensive evaluation of the overall cost associated with the WCO recycling alternatives. This evaluation considers not only the cost of the recycling process but also the cost associated with the conventional virgin material that could be substituted by utilizing WCO as a feedstock.1 = low economic sustainability; 2 = medium economic sustainability; 3 = high economic sustainability.
C4-EfficiencyProcess efficiency aspectThe assessment primarily revolves around evaluating the efficiency in product yield and the amount of waste generated throughout the WCO recycling alternatives.1 = low efficiency; 2 = medium efficiency; 3 = high efficiency.
Table 2. Order of priority of the evaluation criteria reported on the basis of the priority scale provided by each decision maker (DM).
Table 2. Order of priority of the evaluation criteria reported on the basis of the priority scale provided by each decision maker (DM).
Decision Maker (DM)Order of Priority of the Evaluation Criteria
DM1C2-Environment = C3-Economy > C4-Efficiency > C1-Management
DM2C3-Economy > C2-Environment > C4-Efficiency > C1-Management
DM3C3-Economy = C4-Efficiency > C2-Environment > C1-Management
DM4C2-Environment > C3-Economy > C4-Efficiency > C1-Management
DM5C2-Environment > C1-Management > C4-Efficiency > C3-Economy
DM6C2-Environment = C3-Economy > C1-Management > C4-Efficiency
DM7C2-Environment = C3-Economy > C4-Efficiency > C1-Management
DM8C4-Efficiency > C2-Environment = C3-Economy > C1-Management
DM9C2-Environment > C3-Economy > C4-Efficiency > C1-Management
DM10C2-Environment = C3-Economy > C4-Efficiency > C1-Management
Table 3. Values of the priority index for the ten decision makers and for the three alternatives.
Table 3. Values of the priority index for the ten decision makers and for the three alternatives.
Decision MakerAlternatives
A1_BiodieselA2_BiolubricantA3_Biosurfactant
DM11.451.703.00
DM22.201.901.90
DM31.002.002.35
DM41.101.903.00
DM51.802.802.60
DM61.201.652.55
DM71.501.552.65
DM82.551.752.35
DM91.202.802.60
DM101.902.352.45
Average value1.592.042.55
Standard Deviation0.510.460.32
Table 4. Solved alternatives matrix.
Table 4. Solved alternatives matrix.
AlternativesEvaluation Criteria
C1-ManagementC2-EnvironmentC3-EconomyC4-Efficiency
A1_Biodiesel2.35.23.84.7
A2_Biolubricant2.88.05.64.1
A3_Biosurfactant3.78.67.95.3
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De Feo, G.; Ferrara, C.; Giordano, L.; Ossèo, L.S. Assessment of Three Recycling Pathways for Waste Cooking Oil as Feedstock in the Production of Biodiesel, Biolubricant, and Biosurfactant: A Multi-Criteria Decision Analysis Approach. Recycling 2023, 8, 64. https://doi.org/10.3390/recycling8040064

AMA Style

De Feo G, Ferrara C, Giordano L, Ossèo LS. Assessment of Three Recycling Pathways for Waste Cooking Oil as Feedstock in the Production of Biodiesel, Biolubricant, and Biosurfactant: A Multi-Criteria Decision Analysis Approach. Recycling. 2023; 8(4):64. https://doi.org/10.3390/recycling8040064

Chicago/Turabian Style

De Feo, Giovanni, Carmen Ferrara, Luana Giordano, and Libero Sesti Ossèo. 2023. "Assessment of Three Recycling Pathways for Waste Cooking Oil as Feedstock in the Production of Biodiesel, Biolubricant, and Biosurfactant: A Multi-Criteria Decision Analysis Approach" Recycling 8, no. 4: 64. https://doi.org/10.3390/recycling8040064

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