Next Article in Journal
Managerial and Economical Aspects of the Just-In-Time System “Lean Management in the Time of Pandemic”
Next Article in Special Issue
Investigation and Optimization of the Performance of Energy Systems in the Textile Industry by Using CHP Systems
Previous Article in Journal
Improving Effects of Afforestation with Different Forest Types on Soil Nutrients and Bacterial Community in Barren Hills of North China
Previous Article in Special Issue
A Thorough Economic Evaluation by Implementing Solar/Wind Energies for Hydrogen Production: A Case Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of Thermochemical Characteristics and Pyrolysis of Fish Processing Waste for Renewable Energy Feedstock

1
Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Hatyai 90112, Songkhla, Thailand
2
Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei
3
Department of Civil and Environmental Engineering, Faculty of Engineering and Technology, Islamic University of Technology, Board Bazar, Gazipur 1704, Bangladesh
4
Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0002, South Africa
5
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404, Taiwan
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(3), 1203; https://doi.org/10.3390/su14031203
Submission received: 20 December 2021 / Revised: 15 January 2022 / Accepted: 18 January 2022 / Published: 21 January 2022

Abstract

:
The necessity of energy is continuously increasing, whereas fossil fuel sources are gradually depleting. To mitigate this problem, fish processing waste of the bluespotted stingray (Neotrygon kuhlii), available in the Borneo region, was investigated for an alternative feedstock of bioenergy production. The fish wastes are hazardous for the environment, whereas the biodiesel from fish waste is pollution-free and produces less contaminant gas and carbon dioxide than fossil fuel. From the proximate analysis, the moisture content, volatile matter, fixed carbon, and ash content of the fish waste were achieved as 4.88%, 63.80%, 15.03%, and 16.29%, respectively. The proportion of carbon, hydrogen, nitrogen, sulfur, and oxygen was found as 42.06%, 5.99%, 10.77%, 0.91%, and 40.27%, respectively, from the ultimate analysis. The calorific value was 21.53 MJ/kg, which would be highly effective in biofuel production. The morphology analysis results of the biomass are favorable for renewable energy sources. The major bondage between carbon and hydrogen and oxygen was found using Fourier transform infrared spectroscopy. The thermogravimetric analysis and derivative thermogravimetry revealed that the highest weight loss occurred at 352 °C temperature with a decomposition rate of 4.57 wt.%/min in pyrolysis circumstances, and at 606 °C temperature with a decomposition rate of 3.77 wt.%/min in combustion conditions. In the pyrolysis process for 25 °C/min heating rate, the yield of biochar, bio-oil, and bio-syngas was found as 33.96, 29.34, 23.46% at 400 °C, 47.72, 49.32, 33.87% at 500 °C, and 18.32, 21.34, 42.37% at 600 °C, respectively. The characteristics and pyrolysis yields of fish waste are suitable for being an effective renewable energy source.

1. Introduction

The total energy consumption in the modern world has increased significantly for the present urbanization and civilization, which will be doubled in the future. The lifeblood of energy is fossil fuel, which is depleting over time and increasing the amount of greenhouse gases emitted to the environment during burning. Fossil fuel is sadly the single most unifying force of the world, the attention of which will be forced to turn to renewable energy sources [1,2]. Fortunately, scientists and engineers from all over the world did not wait for this crisis to happen and have given extensive consideration to biofuel as an alternative fuel to produce renewable energy that can partially or even completely replace fossil fuels [3]. Biofuels are less-toxic, degradable, have a lower sulfur capacity, and produce renewable energy with minimum carbon dioxide and greenhouse gas emissions to the environment [4,5]. Plants, animal waste, agricultural residue, and industrial discharge are the major sources of biofuels for generation of bioenergy [6]. Among the bioenergy sources, animal wastes are a significant feedstock because they can produce renewable energy while simultaneously minimizing hazardous wastes [7]. In animal wastes, fish wastes have been demonstrated to be a suitable source of bioenergy production [8].
The fish processing wastes are increasing day by day as the demands for fish are rising globally. According to the Food and Agriculture Organization (FAO), the fish production was 142 million tons in 2005, which would be around 200 million tons by 2029 [9]. In fish processing (beheading, stunning, grading, gutting, cutting of fins, meat bone separation), around 20–80% of wastage is being produced depending on the processing type and fish nature [10]. Some of these wastes are used as raw materials in animal feed manufacturing or as fertilizers, but the vast majority are dumped as garbage in landfills, on land, or in the sea, which has negative environmental effects. Dumping in lands generates greenhouse gases [11], and marine disposal causes high oxygen demand, visible surface slicks, turbidity plumes, organic enrichment, and predator attraction (sharks) [12]. The production of bioenergy from fish waste can be an effective solution to minimize the waste by saving the environment. It is observed that the fish wastes contained a higher amount of biofuel, which can be utilized to generate clean energy [13].
The thermochemical and biochemical conversion processes are used to produce the biofuel from animal waste, where the thermochemical procedures have higher efficiencies for reactivity, quantity, quality, and time consumption [7,14]. The complex compound cannot be decomposed fully in the biochemical process but can be decomposed easily through the thermochemical process [15]. Additionally, the microbial activities inhibit the biochemical process due to the high nitrogen content of the animal waste [16]. In the thermochemical processes (pyrolysis, gasification, combustion, and hydrothermal), pyrolysis is frequently used to get three different biofuels (biochar, bio-oil, and bio-syngas) in an easy and user-friendly procedure [17,18,19]. The solid biochars are used to enhance the soil quality, absorb CO2 gas, generate heat, purify water, and air filtration [20,21]. The liquid bio-oils are dark brown in color with the complex mixtures of oxygenated hydrocarbons and water, which can be utilized as a replacement liquid fuel after refinement or as a source of synthetic chemicals [19,22]. The major components of the bio-oils from animal waste are the triacylglycerols, which are being used for biodiesel production [23,24]. The pyrolytic gases, after refining, are used in the gas generators and fuel cells to produce heat and electricity [6,25,26].
Fish is always one of the main food sources of Brunei Darussalam as the country is surrounded by the sea brimming with fish. It was reported that Brunei Darussalam had been one of the maximum fish consumption countries per capita, ranging between 40 and 47 kg/person/year [27]. In the fishes, bluespotted stingrays (Neotrygon kuhlii) are one of the most abundant and widely consumed fishes in this country. Very limited research has been executed on biofuel production from fish wastes through the pyrolysis process [19]. The goal of this study is the thermochemical characterization of the Neotrygon kuhlii fish processing wastes and the evaluation of pyrolytic products for biofuel production to be an alternative source of renewable energy.

2. Materials and Methods

2.1. Sample Preparation

Neotrygon kuhlii fish wastes were accumulated from the local fish market in Brunei Darussalam. The wastages were thoroughly cleaned with water to remove the sand and debris. Once the cleaning process was accomplished, the fish wastes were dried in direct sunlight for few days. After sun drying, the feedstock was oven-dried at 100 °C for 12 h. Normally, the oven temperatures are maintained at 100–110 °C for 12–24 h to minimize the excess moisture and pungent smell from animal waste samples [16,28,29]. The dried samples were crushed in a blending machine and were kept in airtight bags for further analysis. Figure 1a,b represents the Neotrygon kuhlii fish and its wastes, respectively.

2.2. Proximate Analysis

For any biomass, the proximate analysis represents the percentages of moisture content (MC), volatile matter (VM), fixed carbon (FC), and ash content (AC). The American Society of Testing Materials (ASTM) standards were utilized to conduct this analysis on a 1 g sample of fish waste. All of the tests were carried out twice for the dried sample, and the average findings are presented below. Equation (1) was used to calculate the moisture content using the ASTM D3173-11 standard [30]:
Moisture   content   ( wt % ) = Sample   weight   before   heating   Sample   weight   after   heating actual   sample   weight
For measuring the volatile matter (VM) percentage of the biomass sample, ASTM D 3175-07 method was used in Equations (2) and (3),
    Total   loss   ( weight ) = sample   weight   before   drying     sample   weight   after   drying Weight   of   raw   biomass
Volatile matter (wt%) = Total loss − Moisture content (MC)
The ash content (AC) % was calculated using the ASTM D 3174-04 technique in Equation (4)
  Ash   content   ( wt % ) = 100 sample   weight   before   heating     sample   weight   after   Heating actual   weight   of   raw   biomass
Equation (5) was used to calculate the fixed carbon (FC) content
Fixed carbon (wt.%) = 100% − (MC + VM + AC)

2.3. Ultimate Analysis

The weight percentages of carbon (C), hydrogen (H), nitrogen (N), and sulfur (S) in the dried fish waste were studied in the ultimate analysis. This experiment was carried out at Prince of Songkla University (PSU) in Thailand using a CHNS analyzer of Flash Series (EA 1112) manufactured by Thermo Quest, Italy. Equation (6) was used to compute the proportion of oxygen (O) [31],
Oxygen (wt.%) = 100 − {C (wt.%) + H (wt.%) + N (wt.%) + S (wt.%)}

2.4. Calorific/Heating Value

The gross calorific value (GCV), also known as the higher heating value (HHV), of the biomass sample was investigated using a bomb calorimeter (C-200 series) made by P.A. Hilton, Stockbridge, UK. The results were analyzed using ASTM D 5468-02 techniques. The heating or calorific values are usually computed as the energy available per unit mass (MJ/kg) for solid fuels.

2.5. Morphology Analysis (SEM/EDX)

The morphology of the fish waste was examined using the scanning electron microscope (SEM) of a Schottky Field Emission SEM (JSM-7610F), made by JEOL, Tokyo, Japan. The images of the sample were taken at 25×, 100×, 1000×, 5000× magnifications. For measuring the inorganic components and the atomic proportion of fish waste, energy-dispersive X-ray (EDX) analyses were undertaken using the same machine with no carbon coating.

2.6. Fourier Transform Infrared Spectroscopy (FTIR)

The functional groups of the fish waste were investigated using a Fourier transform infrared spectrometer made by Perkin Elmer of Spectrum (Two series), USA. All spectrums were attained from the wavenumbers of 4000 to 500 cm−1, with a 1 cm−1 step size.

2.7. Thermogravimetric Analysis (TGA) and Derivative Thermogravimetry (DTG)

A thermogravimetric analyzer (TGA7 series) from Perkin Elmer, USA was used to perform the thermogravimetric analysis (TGA) and the derivative thermogravimetry (DTG) of the fish waste in the Scientific Equipment Center, PSU. The experiment was carried out for both pyrolysis and combustion conditions for 50–900 °C temperatures with 10 °C/min heating rate. In the heating chamber, pure nitrogen (N2) gas was passed to establish the pyrolysis condition, while oxygen (O2) gas was used to sustain the combustion situation. The TGA and DTG curves were investigated to evaluate the decomposition trend of the fish processing waste.

2.8. Pyrolysis Process

The pyrolysis process was executed by a horizontal tube furnace (fixed bed) manufactured by Carbolite Gero (300–3000), UK. The experiments were accomplished for 30 g fish waste for three different temperatures of 400, 500, and 600 °C with a 25 °C/min heating rate and 0.5 L/min nitrogen gas flow rate. The procedure was sustained up to 1 h after obtaining the last temperature. The bio-oil was accumulated from the flask and the biochar was from the reactor. The proportion of bio-syngas was determined using Equation (7). Figure 2 illustrates the pyrolysis setup for this study.
bio-syngas (wt.) = Raw Sample (wt.) − {Biochar (wt.) + Bio-oil (wt.)}

3. Results and Discussion

3.1. Proximate Analysis

The percentage of moisture content, volatile matter, fixed carbon, and ash content of the fish waste were determined using the proximate analysis. Table 1 reflects the proximate analysis of the dried Neotrygon kuhlii fish waste of this study and other relevant wastes. This analysis is important to reveal the chemical characters of the biomass.
The moisture content of the solid biomass is determined as the amount of water accessible in the dry sample. When the moisture content in biofuel is high, it has an undesirable influence on pyrolysis reaction, which reduces the quality of the product [34]. The value should be less than 10% for the effective thermochemical degradation in the pyrolysis process. The moisture content in this work was found as 4.88%, which is lower than the moisture content of e-oiled fish waste [19], cow dung, fish waste, and poultry waste with sawdust [33]. Because these biomasses have a low moisture content, they may be suitable for manufacturing biochar, bio-oil, and bio-syngas.
The volatile matter of biomass is the part that has been driven off as the gases element, including moisture content, by the heating temperature of 950 °C for 7 min [35]. Volatile matter mainly consists of hydrocarbons, carbon dioxide, hydrogen gas, and some tars. The reactivity of the biomass in the thermochemical procedure depends on the proportion of the volatile matter. If the percentage of VM is high, the reactivity will be high [32]. The percentage of volatile matter in this study was 63.80%, which is comparable to other research [33].
Fixed carbon is the amount of carbon that remains after the volatile matter is discharged, omitting ash and moisture content [36]. The fixed carbon of this fish waste was calculated as 15.03% using the subtracting technique. These values are higher than the values of goat dung, cow dung, fish waste, poultry waste with sawdust, and poultry waste with sand [33]. The higher VM reacted to their low fixed carbon content, revealing that the majority of the fuel is burned in the gaseous state during burning. Plant material with a higher fixed carbon content has a higher energy value [37].
In this investigation, the amount of ash was found as 16.29%. When the ash level of the biomass is high, the mineral content of the biomass is also high [38]. In the pyrolysis process, ash content demonstrated the catalytic activity for the pyrolyzed product [34].

3.2. Ultimate Analysis

The ultimate analysis of the fish waste was specified with the atomic ratio of hydrogen to carbon (H/C) and oxygen to carbon (O/C). The weight percentage of carbon, hydrogen, nitrogen, and sulfur for this dried sample was achieved as 42.06%, 5.99%, 10.77%, and 0.91%, respectively (Table 2). The weight percentage of oxygen was calculated by deduction, which was 40.27%. These values are similar to the values for de-oiled fish waste [19] but different from the lamb, poultry, and swine [23].
The hydrogen to carbon (H/C) and oxygen to carbon (O/C) ratios were found to be 1.607 and 0.848, respectively. The H/C and O/C ratios are necessary to determine the elemental makeup of any feedstock. When using biomass as a heating fuel, the amount of carbon is the most important factor [39]. The heating value of solid biomass will be higher if the carbon content is higher and the oxygen concentration is lower. Because the samples contain relatively little sulfur, they will generate more biofuel [38]. The H/C and O/C ratios were used to determine the energy content of the feedstock on the basis of oxygen–carbon and hydrogen–carbon bonds. Lower H/C and O/C ratios indicated a larger energy content, indicating that the material might be utilized as a solid fuel [36].

3.3. Calorific Value (Heating Value)

A bomb calorimeter is a device that is used to determine the energy of burning. The reaction takes place in a confined chamber known as the appropriate calorimeter, at a steady temperature, in regulated thermal contact with its surroundings, the jacket. One of the significant processes to justify the capacity of the sample as a useful energy source is the calorific value or higher heating value (HHV) [6].
In Table 3, the HHV of Neotrygon kuhlii fish waste was revealed to be 21.53 MJ/kg. The HHV of this fish waste is competitive with the values of de-oiled fish waste (20.99 MJ/kg) [19], salmon fish (16.01 to 23.14 MJ/kg) [40], Pelates octolineatus (12.83 KJ/g) [41], Gasterosteus aculeatus (8.16 MJ/kg), and Tilapia nilotica (21.72 MJ/kg) [42]. The literature illustrates that the calorific value rises for the high number of carbon (C) and hydrogen (H) but decreases for the upper quantity of nitrogen (N) in the biomass. The HHV/CV also drops with the growth of ash content. If biofuel derived from Neotrygon kuhlii is manufactured appropriately, the biofuel can also be mixed with fossil fuel or can be replaced with minimum cost and arrangements [43].

3.4. Morphology Analysis (SEM/EDX)

In any biomass, the scanning electron microscopy for the morphological analysis and the energy-dispersive X-ray (EDX) for the elemental characteristics are some of the most useful techniques. The SEM micrographs of Neotrygon kuhlii fish waste at 10×, 100×, 1000×, and 5000× magnifications are presented in Figure 3a–d. The images revealed various fiber patterns and rough surfaces due to the various chemical compositions of the biomass [6].
Table 4 shows the constituent compositions of the biomass, as well as the atomic weight percentages determined by EDX where the main components were carbon (73.86%) and oxygen (21.55%). Other primary elements of biomass, magnesium (Mg), aluminum (Al), sodium (Na), sulfur (S), phosphorous (P), and calcium (Ca) [44] were also found in this fish waste. Magnesium (Mg) and sodium (Na) can produce ionic and covalent bonds with other organic elements, which also vaporize at high temperatures. Sulfur (S) and aluminum (Al) are fairly stable at low temperatures and produce complex chemical molecules [45].
To calculate the grade of aromaticity and polarity of biomass, the O/C ratios (0.219) were utilized. The surface becomes less hydrophilic as the O/C ratio decreases. In comparison to earlier studies [46], the O/C in this study is better. The CHNS analyzer is shown to be incapable of measuring oxygen levels, but the EDX approach can simply compute oxygen levels by elemental examination [47].

3.5. FTIR Analysis

Fourier transform infrared spectroscopy was used to investigate the relationship between the structure of the chemical components of biomass. Figure 4 depicts the FTIR analysis graph with the wavenumbers from 4000 to 500 cm−1 and Table 5 describes the lists of functional groups based on standard literature codes [48,49]. For this feedstock, the transmittance was found at 3292 cm−1 wavenumbers, mostly occurring for the bending of the O-H group in the moisture [50]. The detected peaks in the wavenumber of 3014 cm−1 were for the enlarged C-H bond in the aliphatic organic compounds [51]. The bending occurred at 2956, 2924, and 2853 cm−1 wavenumbers for C-H stretching from methyl (−CH3) groups, methylene (−CH2) asymmetric, and methylene (−CH2) symmetric lipids [49]. Peaks found at 1656 cm−1 happened due to the stretching of C=O in proteins. The C-N and N-H stretching was at 1543 cm−1 due to Amide II of proteins [48]. The peak at 1456 cm−1 for methylene (−CH2) and methyl (−CH3) was due to stretching of lipids [52].
The peak at 1404 cm−1 is the carboxylate group (COO-) symmetric stretching [49]. The peak found at 1236 cm−1 is for C-O stretching vibration bands in the ester [50]. The peak appearing for wavenumber 1167 cm−1 represents the bending of the -CH2 stretching of lipids, C-O vibrations [52]. The crest for 1101 cm−1 wavenumber was mainly for C-O-C asymmetric stretching of lipid esters [51]. The bond, C-O stretching, happened in lipids and proteins with 1043 cm−1 wavenumbers [51]. The CH aromatic stretching vibrations occurred at 873 cm−1 wavenumbers, and the CH2 deformation vibration occurred at the wavenumbers of 700 and 607 cm−1 for the aromatic rings feedstock [50].

3.6. Thermogravimetric Analysis (TGA) and Derivative Thermogravimetry (DTG)

The understanding of chemical kinetics through thermogravimetric analysis is highly important to analyze the reactions that occur in the thermochemical processes [54]. Thermogravimetric analysis and derivative thermogravimetry were used to measure the thermochemical properties of biomass samples in the pyrolysis and the combustion conditions. Figure 5 represents the TGA and the DTG curves for the fish waste samples under the pyrolysis setting. Table 6 shows the thermal degradation of the feedstock in pyrolysis conditions with the necessary temperatures for weight loss.
For the pyrolysis condition, the first degradation occurred in the first stage at temperatures ranging from 50 to 200 °C, mostly because of the removal of moisture and light volatiles present in the biomass. The weight loss at this stage was determined to be 3.56%, which is similar to the proximate analysis findings. The elimination of extractable components in the sample happened in the second stage, which took place at temperatures ranging from 200 to 450 °C [55]. The major decomposition occurred in this stage with 55.27% due to the breakdown of macromolecules, guanine, and other organic materials [56]. This is a sign of the natural breakdown of the waste residue via thermal processing, which might be an ideal precursor for pyrolysis processes.
Figure 6 depicts the TGA and DTG curves of fish waste samples under the combustion situations. Table 7 shows that the weight loss in the first stage for temperatures between 50 and 200 °C was similar to pyrolysis conditions, mostly due to the elimination of moisture content and light volatiles. The loss for the release of organic matter was determined to be 43.99% in the second step [57]. The peak was obtained from the DTG curve at a temperature of 315 °C with a decomposition rate of 3.22 wt.%/min during this phase. The formation of benzenic circles was produced at a temperature of more than 380 °C towards the polycyclic organization of char [58].
The third stage resulted in a weight loss of 35.34% at 606 °C temperature with 3.77 wt.%/min degradation rates. More residual organics of the fish feces were released in this stage, resulting in higher weight loss [57]. The residual was determined to be 16.03% after 900 °C, primarily owing to the ash of the sample. The inorganic components contributed to the increased residue for the fish scale [59]. The thermochemical breakdown pattern demonstrated that this waste biomass might be employed as a good feedstock for biofuel generation.

3.7. Pyrolysis Yield

Pyrolysis is a method of thermal decomposition of biomass in the deficiency of oxygen with or without a catalyst at moderate temperatures. Materials are oil, gas, and char pyrolysis. To decrease secondary reactions and increase the yield of the liquid, short residence times are required. Specific forms of pyrolysis are being utilized while the target material or product characteristics are dissimilar, such as slow or fast pyrolysis. Carbon monoxide, carbon dioxide, and methane are the significant components in the gaseous material. The char consists of pure carbon and hydrogen. It comprises the majority of all metals for the sources of biomass. The liquid (oil) after pyrolysis is the composition of esters, organic acids, alcohols, sugars, ketones, phenols, aldehydes, syringols, alkenes, and oxygenate compounds [60].
Table 8 represents the production percentages of the biochar, the bio-oil, and the bio-syngas of Neotrygon kuhlii fish waste for three different pyrolysis temperatures (400, 500, and 600 °C). The production of biochar was decreased from 33.96 to 23.46% when the pyrolysis temperature was raised from 400 to 600 °C, which is similar to the literature (37.5% and 25.6% for 400 and 600 °C) [61]. Biochar development is the procedure of breaking light bonds and the development of denser arrangements [32]. The biochar can be used as an alternative to chemical fertilizers for soil improvement due to its stable nature [62].
The result revealed the comparable production effectiveness for bio-oil, which can approve the potentiality of the biomass as a bioenergy. The yield of bio-oil was increased from 47.72 to 49.32%, for the temperature rise of 400–500 °C, whereas it fell to 33.87% at 600 °C temperature. The values are higher than the bio-oil yield (17.08 wt.%) from the liquid fraction process [63]. The bio-oils from animal waste contain mainly alkanes, alkenes, aromatics, aldehydes, ketones, and carboxylic acids, whereas the lignocellulosic biomass formed mostly phenols, furanes, benzenediols, and their compositions [23]. The bio-oil can be upgraded by dropping the oxygen and alkali content from the pyrolysis oil for specific applications [50]. For the production of biofuel with a higher ratio, the pyrolysis process became the most promising procedure to convert the biomasses. Bio-oil is important in terms of energy safety, ecological aims, foreign currency savings, and socio-economic purposes in countryside areas [28]. These results prove that this fish waste can be used as an effective source of biofuel.
The bio-syngas production for this fish waste was raised by 18.32%, 21.34%, and 42.67% for the pyrolysis temperature increases of 400, 500, and 600 °C, respectively. The bio-syngas yield was higher due to the formation of non-condensable gases through secondary cracking of the pyrolytic vapors at higher temperatures [17]. These trends are similar to the values found in the literature [19,61]. The main components of the bio-syngas are hydrogen, methane, carbon dioxide, and carbon monoxide, which can be used as fuel. Hydrogen gas can be used to make the heat energy or can be utilized in a fuel cell for producing green energy (electricity). This gas can also minimize the dependence on petroleum and monitor the pollution of greenhouse gas emissions [3,64]. Therefore, it can be concluded that this fish processing waste can be an effective source of bio-syngas with biochar and bio-oil from the pyrolysis procedure to use as fuel.

4. Conclusions

The findings of this research illustrated that the fish processing waste from the bluespotted stingray (Neotrygon kuhlii) might be a promising source of biofuel through the pyrolysis process. The proximate analysis of the feedstock postulated that the reduced moisture content, high volatile matter, and suitable fixed carbon contents are highly effective in generating the superior quality of biofuels. The feedstock contains a moderate amount of ash which can also be used as a catalyst in the catalytic pyrolysis process. The lower O/C atomic ratio (0.219) and a small quantity of sulfur (0.91%) demonstrated the upgraded bioenergy production with lower SOx gas emission to the atmosphere. The higher calorific value (21.53 MJ/kg) of this fish waste revealed that this feedstock is an effective renewable energy source. The SEM analysis gave an indication of the higher micronutrients and macronutrients in the biochar to use for the filtration and soil amendment purposes. The EDX result also represented an enhanced percentage of carbon and oxygen content in this fish waste. In the FTIR, the significant bondage between hydrogen, carbon, and oxygen in this fish waste established the potentiality of bioenergy. The thermal breakdown of this waste biomass followed the same pattern as the other biomass in the TGA and DTG curves, where the maximum degradation occurred at the second stage for both pyrolysis and combustion conditions. Finally, the yield of the pyrolytic products proved that this fish waste would be a promising source of bioenergy where the maximum amount of biochar was produced at 400 °C, the bio-oil at 500 °C, and the bio-syngas at 600 °C. As a consequence, it can be stated that the Neotrygon kuhlii fish wastes found in the Borneo region have the potential to be an effective source of renewable energy through the thermochemical conversion process to save landfills, ecology, and the environment. Future research should analyze the chemical composition of bio-oil and bio-syngas for application in the field.

Author Contributions

Conceptualization, M.S.R., A.K.A. and J.T.; methodology, A.K.A. and M.S.A.B.; software, M.S.R. and M.S.A.B.; validation, M.R.K. and M.S.; formal analysis, M.S.R. and M.S.A.B.; investigation, M.S.R. and M.S.; resources, A.K.A. and J.T.; data curation, M.S.A.B. and M.R.K.; writing—original draft preparation, M.S.R.; writing—review and editing, A.K.A., M.S. and J.T.; visualization, M.R.K. and M.S.; supervision, A.K.A. and J.T.; project administration, A.K.A. and J.T.; funding acquisition, M.S. and J.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Prince of Songkla University and the Ministry of Higher Education, Science, Research and Innovation, Thailand, under the Reinventing University Project (Grant Number REV64058).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are profoundly thankful to the Universiti Brunei Darussalam (UBD) and Prince of Songkla University (PSU) for facilitating this research work. The final year student, Abdul Hadi Bin Zakaria (UBD), also assisted in the work.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviation and Nomenclature

MCMoisture content
VMVolatile matter
FCFixed carbon
ACAsh content
ASTMAmerican Society of Testing Materials
CCarbon
HHydrogen
NNitrogen
SSulfur
OOxygen
PSUPrince of Songkla University
GCVGross calorific value
HHVHigher heating value
UKUnited Kingdom
SEMScanning electron microscope
EDXEnergy-dispersive X-ray
FTIRFourier transform infrared spectroscopy
TGAThermogravimetric analysis
DTGDerivative thermogravimetry
N2Nitrogen gas
O2Oxygen gas
CO2Carbon dioxide
°CDegree Celsius
°C/minDegree Celsius per minute
L/minLiter per minute
wt.Weight
MJ/kgMega Jule per kilogram
wt.%/minWeight percentage per minute

References

  1. Clauser, N.M.; González, G.; Mendieta, C.M.; Kruyeniski, J.; Area, M.C.; Vallejos, M.E. Biomass Waste as Sustainable Raw Material for Energy and Fuels. Sustainability 2021, 13, 794. [Google Scholar] [CrossRef]
  2. Chen, W.H.; Nižetić, S.; Sirohi, R.; Huang, Z.; Luque, R.M.; Papadopoulos, A.; Sakthivel, R.; Phuong Nguyen, X.; Hoang, A.T. Liquid hot water as sustainable biomass pretreatment technique for bioenergy production: A review. Bioresour. Technol. 2022, 344, 126207. [Google Scholar] [CrossRef]
  3. Radenahmad, N.; Tasfiah, A.; Saghir, M.; Taweekun, J.; Saifullah, M.; Bakar, A.; Reza, S.; Kalam, A. A review on biomass derived syngas for SOFC based combined heat and power application. Renew. Sustain. Energy Rev. 2020, 119, 109560. [Google Scholar] [CrossRef]
  4. Hoang, A.T.; Nižetić, S.; Olcer, A.I.; Ong, H.C.; Chen, W.-H.; Chong, C.T.; Thomas, S.; Bandh, S.A.; Nguyen, X.P. Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications. Energy Policy 2021, 154, 112322. [Google Scholar] [CrossRef]
  5. Hoang, A.T.; Pham, V.V.; Nguyen, X.P. Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process. J. Clean. Prod. 2021, 305, 127161. [Google Scholar] [CrossRef]
  6. Reza, S.; Ahmed, A.; Caesarendra, W.; Abu Bakar, M.S.; Shams, S.; Saidur, R.; Aslfattahi, N.; Azad, A.K. Acacia Holosericea: An Invasive Species for Bio-char, Bio-oil, and Biogas Production. Bioengineering 2019, 6, 33. [Google Scholar] [CrossRef] [Green Version]
  7. Baniasadi, M.; Tugnoli, A.; Conti, R.; Torri, C.; Fabbri, D.; Cozzani, V. Waste to energy valorization of poultry litter by slow pyrolysis. Renew. Energy 2016, 90, 458–468. [Google Scholar] [CrossRef]
  8. Kratky, L.; Zamazal, P. Economic feasibility and sensitivity analysis of fish waste processing biorefinery. J. Clean. Prod. 2020, 243, 118677. [Google Scholar] [CrossRef]
  9. Wisniewski, A.; Wiggers, V.; Simionatto, E.; Meier, H.; Barros, A.; Madureira, L. Biofuels from waste fish oil pyrolysis: Chemical composition. Fuel 2010, 89, 563–568. [Google Scholar] [CrossRef]
  10. Ghaly, A. Fish Processing Wastes as a Potential Source of Proteins, Amino Acids and Oils: A Critical Review. Amin. Acids Oils A Crit. Rev. J. Microb. Biochem. Technol. 2013, 5, 107–129. [Google Scholar]
  11. Mo, W.Y.; Man, Y.B.; Wong, M.H. Use of food waste, fish waste and food processing waste for China’s aquaculture industry: Needs and challenge. Sci. Total Environ. 2018, 613–614, 635–643. [Google Scholar] [CrossRef]
  12. Zhang, R.; El-Mashad, H.M. Bio-diesel and bio-gas production from seafood processing by-products. In Maximising the Value of Marine By-Products; Elsevier Ltd.: Amsterdam, The Netherlands, 2006; pp. 460–485. ISBN 9781845690137. [Google Scholar]
  13. Kudre, T.G.; Bhaskar, N.; Sakhare, P.Z. Optimization and characterization of biodiesel production from rohu (Labeo rohita) processing waste. Renew. Energy 2017, 113, 1408–1418. [Google Scholar] [CrossRef]
  14. Hoang, A.T.; Ong, H.C.; Fattah, I.M.R.; Chong, C.T.; Cheng, C.K.; Sakthivel, R.; Ok, Y.S. Progress on the lignocellulosic biomass pyrolysis for biofuel production toward environmental sustainability. Fuel Process. Technol. 2021, 223, 106997. [Google Scholar] [CrossRef]
  15. Zhang, L.; Xu, C.C.; Champagne, P. Overview of recent advances in thermo-chemical conversion of biomass. Energy Convers. Manag. 2010, 51, 969–982. [Google Scholar] [CrossRef]
  16. Kantarli, I.C.; Kabadayi, A.; Ucar, S.; Yanik, J. Conversion of poultry wastes into energy feedstocks. Waste Manag. 2016, 56, 530–539. [Google Scholar] [CrossRef]
  17. Lee, X.J.; Ong, H.C.; Gan, Y.Y.; Chen, W.-H.; Mahlia, T.M.I. State of art review on conventional and advanced pyrolysis of macroalgae and microalgae for biochar, bio-oil and bio-syngas production. Energy Convers. Manag. 2020, 210, 112707. [Google Scholar] [CrossRef]
  18. Reza, M.S.; Yun, C.S.; Afroze, S.; Radenahmad, N.; Bakar, M.S.A.; Saidur, R.; Taweekun, J.; Azad, A.K. Preparation of acti-vated carbon from biomass and its’ applications in water and gas purification, a review. Arab. J. Basic Appl. Sci. 2020, 27, 208–238. [Google Scholar] [CrossRef]
  19. Fadhil, A.B.; Ahmed, A.I.; Salih, H.A. Production of liquid fuels and activated carbons from fish waste. Fuel 2017, 187, 435–445. [Google Scholar] [CrossRef]
  20. Reza, M.S.; Hasan, A.B.M.K.; Afroze, S.; Muhammad, S.; Bakar, A.; Taweekun, J.; Azad, A.K. Analysis on Preparation, Application, and Recycling of Activated Carbon to Aid in COVID-19 Protection. Int. J. Integr. Eng. 2020, 12, 233–244. [Google Scholar] [CrossRef]
  21. Reza, S.; Afroze, S.; Bakar, M.S.; Saidur, R.; Aslfattahi, N.; Taweekun, J.; Azad, A.K. Biochar characterization of invasive Pennisetum purpureum grass: Effect of pyrolysis temperature. Biochar 2020, 2, 239–251. [Google Scholar] [CrossRef]
  22. Varuvel, E.G.; Mrad, N.; Tazerout, M.; Aloui, F. Assessment of liquid fuel (bio-oil) production from waste fish fat and utilization in diesel engine. Appl. Energy 2012, 100, 249–257. [Google Scholar] [CrossRef]
  23. Hassen-Trabelsi, A.B.; Kraiem, T.; Naoui, S.; Belayouni, H. Pyrolysis of waste animal fats in a fixed-bed reactor: Production and characterization of bio-oil and bio-char. J. Waste Manag. 2014, 34, 210–218. [Google Scholar] [CrossRef] [PubMed]
  24. Nayak, S.; Hoang, A.; Nayak, B.; Mishra, P. Influence of fish oil and waste cooking oil as post mixed binary biodiesel blends on performance improvement and emission reduction in diesel engine. Fuel 2021, 289, 119948. [Google Scholar] [CrossRef]
  25. Afroze, S.; Reza, M.S.; Cheok, Q.; Taweeku, J.; Azad, A.K. Solid Oxide Fuel Cell (SOFC); A New Approach of Energy Gener-ation during the Pandemic COVID-19. Int. J. Integr. Eng. 2020, 12, 245–256. [Google Scholar] [CrossRef]
  26. Afroze, S.; Reza, S.; Cheok, Q.; Islam, S.N.; Abdalla, A.M.; Taweekun, J.; Azad, A.K.; Khalilpoor, N.; Issakhov, A. Advanced Applications of Fuel Cells during the COVID-19 Pandemic. Int. J. Chem. Eng. 2021, 2021, 5539048. [Google Scholar] [CrossRef]
  27. Cinco, E.A.; Lydia, C.L.T.; Zylich, K.; Pauly, D. Reconstructing the Marine and Estuarine Fisheries of Brunei Darussalam, 1950 to 2010; University of British Columbia: Vancouver, BC, Canada, 2015. [Google Scholar]
  28. Syazaidah, I.; Abu Bakar, M.S.; Reza, M.S.; Azad, A.K. Ex-situ catalytic pyrolysis of chicken litter for bio-oil production: Ex-periment and characterization. J. Environ. Manag. 2021, 297, 113407. [Google Scholar] [CrossRef] [PubMed]
  29. Mărculescu, C.; Stan, C. Pyrolysis treatment of poultry processing industry waste for energy potential recovery as quality derived fuels. Fuel 2013, 116, 588–594. [Google Scholar] [CrossRef]
  30. ASTM International. ASTM D 3173-11 Standard Test Method for Moisture in the Analysis Sample of Coal and Coke; ASTM: West Con-shohocken, PA, USA, 2011. [Google Scholar]
  31. Chen, J.; Wang, Y.; Lang, X.; Ren, X.; Fan, S. Comparative evaluation of thermal oxidative decomposition for oil-plant residues via thermogravimetric analysis: Thermal conversion characteristics, kinetics, and thermodynamics. Bioresour. Technol. 2017, 243, 37–46. [Google Scholar] [CrossRef] [PubMed]
  32. Reza, S.; Islam, S.N.; Afroze, S.; Abu Bakar, M.S.; Sukri, R.S.; Rahman, S.; Azad, A.K. Evaluation of the bioenergy potential of invasive Pennisetum purpureum through pyrolysis and thermogravimetric analysis. Energy Ecol. Environ. 2019, 5, 118–133. [Google Scholar] [CrossRef]
  33. Kamarudin, S.; Shamsul, N.S.; Ghani, J.; Chia, S.; Liew, H.; Samsudin, A. Production of methanol from biomass waste via pyrolysis. Bioresour. Technol. 2013, 129, 463–468. [Google Scholar] [CrossRef]
  34. Kenney, K.L.; Smith, W.A.; Gresham, G.L.; Westover, T. Understanding biomass feedstock variability. Biofuels 2013, 4, 111–127. [Google Scholar] [CrossRef]
  35. Zhuang, Z.; Wang, L.; Tang, J. Efficient removal of volatile organic compound by ball-milled biochars from different preparing conditions. J. Hazard. Mater. 2020, 406, 124676. [Google Scholar] [CrossRef]
  36. McKendry, P. Energy production from biomass (part 1): Overview of biomass. Bioresour. Technol. 2002, 83, 37–46. [Google Scholar] [CrossRef]
  37. Senelwa, K.; Sims, R.E. Fuel characteristics of short rotation forest biomass. Biomass Bioenergy 1999, 17, 127–140. [Google Scholar] [CrossRef]
  38. Hidayat, S.; Abu Bakar, M.S.; Yang, Y.; Phusunti, N.; Bridgwater, T. Characterisation and Py-GC/MS analysis of Imperata Cylindrica as potential biomass for bio-oil production in Brunei Darussalam. J. Anal. Appl. Pyrolysis 2018, 134, 510–519. [Google Scholar] [CrossRef] [Green Version]
  39. Marsoem, S.N.; Irawati, D. Basic properties of Acacia mangium and Acacia auriculiformis as a heating fuel. AIP Conf. Proc. 2016, 1755, 130007. [Google Scholar] [CrossRef] [Green Version]
  40. Rowland, S.; Bowerk, C.K.; Patil, R.N.; Dewitt, C.A.M. Updraft Gasification of Salmon Processing Waste. J. Food Sci. 2009, 74, 426–431. [Google Scholar] [CrossRef]
  41. McCluskey, S.M.; Bejder, L.; Loneragan, N.R. Dolphin prey availability and calorific value in an Estuarine and coastal envi-ronment. Front. Mar. Sci. 2016, 3, 1–23. [Google Scholar] [CrossRef] [Green Version]
  42. Meakins, R.H. Variations in the energy content of freshwater fish. J. Fish Biol. 1976, 8, 221–224. [Google Scholar] [CrossRef]
  43. Kleinová, A.; Vailing, I.; Lábaj, J.; Mikulec, J.; Cvengroš, J. Vegetable oils and animal fats as alternative fuels for diesel engines with dual fuel operation. Fuel Process. Technol. 2011, 92, 1980–1986. [Google Scholar] [CrossRef]
  44. Smith, F.A.; White, J.W.C. Modern calibration of phytolith carbon isotope signatures for C 3/C4 paleograssland reconstruction. Palaeogeogr. Palaeoclimatol. Palaeoecol. 2004, 207, 277–304. [Google Scholar] [CrossRef]
  45. Schnitzer, M.I.; Monreal, C.M.; Jandl, G.; Leinweber, P.; Fransham, P.B. The conversion of chicken manure to biooil by fast pyrolysis II. Analysis of chicken manure, biooils, and char by curie-point pyrolysis-gas chromatography/mass spectrometry (Cp Py-GC/MS). J. Environ. Sci. Health Part B 2007, 42, 79–95. [Google Scholar] [CrossRef] [PubMed]
  46. Hao, F.; Zhao, X.; Ouyang, W.; Lin, C.; Chen, S.; Shan, Y.; Lai, X. Molecular Structure of Corncob-Derived Biochars and the Mechanism of Atrazine Sorption. Agron. J. 2013, 105, 773–782. [Google Scholar] [CrossRef]
  47. Budai, A.; Wang, L.; Grønli, M.G.; Strand, L.T.; Antal, M.J., Jr.; Abiven, S.; Dieguez-Alonso, A.; Anca-Couce, A.; Rasse, D.P. Surface Properties and Chemical Composition of Corncob and Miscanthus Biochars: Effects of Production Temperature and Method. J. Agric. Food Chem. 2014, 62, 3791–3799. [Google Scholar] [CrossRef] [PubMed]
  48. Socrates, G. Infrared and Raman Characteristic Group Frequencies: Tables and Charts, 3rd ed.; John Wiley and Sons, Ltd.: Chichester, UK, 2005; Volume 35, ISBN 978-0-470-09307-8. [Google Scholar]
  49. Hernández-Martínez, M.; Gallardo-Velázquez, T.; Osorio-Revilla, G.; Almaraz-Abarca, N.; Ponce-Mendoza, A.; Vásquez-Murrieta, M.S. Prediction of total fat, fatty acid composition and nutritional parameters in fish fillets using MID-FTIR spectroscopy and chemometrics. LWT 2013, 52, 12–20. [Google Scholar] [CrossRef]
  50. Kraiem, T.; Ben Hassen-Trabelsi, A.; Naoui, S.; Belayouni, H.; Jeguirim, M. Characterization of the liquid products obtained from Tunisian waste fish fats using the pyrolysis process. Fuel Process. Technol. 2015, 138, 404–412. [Google Scholar] [CrossRef]
  51. Vongsvivut, J.; Heraud, P.; Zhang, W.; Kralovec, J.A.; McNaughton, D.; Barrow, C.J. Quantitative determination of fatty acid compositions in micro-encapsulated fish-oil supplements using Fourier transform infrared (FTIR) spectroscopy. Food Chem. 2012, 135, 603–609. [Google Scholar] [CrossRef]
  52. Zhang, Q.; Liu, C.; Sun, Z.; Hu, X.; Shen, Q.; Wu, J. Authentication of edible vegetable oils adulterated with used frying oil by Fourier Transform Infrared Spectroscopy. Food Chem. 2012, 132, 1607–1613. [Google Scholar] [CrossRef]
  53. Guillén, M.D.; Cabo, N. Characterization of edible oils and lard by fourier transform infrared spectroscopy. Relationships between composition and frequency of concrete bands in the fingerprint region. J. Am. Oil Chem. Soc. 1997, 74, 1281–1286. [Google Scholar] [CrossRef]
  54. Mabuda, A.; Mamphweli, N.; Meyer, E. Model free kinetic analysis of biomass/sorbent blends for gasification purposes. Renew. Sustain. Energy Rev. 2016, 53, 1656–1664. [Google Scholar] [CrossRef]
  55. Raveendran, K.; Ganesh, A.; Khilar, K.C. Pyrolysis characteristics of biomass and biomass components. Fuel 1996, 75, 987–998. [Google Scholar] [CrossRef]
  56. Chakraborty, R.; Bepari, S.; Banerjee, A. Application of calcined waste fish (Labeo rohita) scale as low-cost heterogeneous catalyst for biodiesel synthesis. Bioresour. Technol. 2011, 102, 3610–3618. [Google Scholar] [CrossRef]
  57. Madhu, D.; Singh, B.; Sharma, Y.C. Studies on application of fish waste for synthesis of high quality biodiesel. RSC Adv. 2014, 4, 31462–31468. [Google Scholar] [CrossRef]
  58. Collard, F.-X.; Blin, J. A review on pyrolysis of biomass constituents: Mechanisms and composition of the products obtained from the conversion of cellulose, hemicelluloses and lignin. Renew. Sustain. Energy Rev. 2014, 38, 594–608. [Google Scholar] [CrossRef]
  59. Sobczak-Kupiec, A.; Wzorek, Z. The influence of calcination parameters on free calcium oxide content in natural hydroxyap-atite. Ceram. Int. 2012, 38, 641–647. [Google Scholar] [CrossRef]
  60. Basu, P. Biomass Gasification, Pyrolysis and Torrefaction: Practical Design and Theory, 2nd ed.; Elsevier: New York, NY, USA, 2013; ISBN 9780123964885. [Google Scholar]
  61. Ferreira, S.D.; Manera, C.; Silvestre, W.P.; Pauletti, G.F.; Altafini, C.R.; Godinho, M. Use of Biochar Produced from Elephant Grass by Pyrolysis in a Screw Reactor as a Soil Amendment. Waste Biomass-Valorization 2019, 10, 3089–3100. [Google Scholar] [CrossRef]
  62. Zabaniotou, A.; Stamou, K. Balancing Waste and Nutrient Flows Between Urban Agglomerations and Rural Ecosystems: Biochar for Improving Crop Growth and Urban Air Quality in The Mediterranean Region. Atmosphere 2020, 11, 539. [Google Scholar] [CrossRef]
  63. Mrad, N.; Paraschiv, M.; Aloui, F.; Varuvel, E.G.; Tazerout, M.; Nasrallah, S. Ben Liquid hydrocarbon fuels from fish oil in-dustrial residues by catalytic cracking. Int. J. Energy Res. 2013, 37, 1036–1043. [Google Scholar] [CrossRef]
  64. Hoang, A.T.; Huang, Z.; Nižetić, S.; Pandey, A.; Nguyen, X.P.; Luque, R.; Ong, H.C.; Said, Z.; Le, T.H.; Pham, V.V. Charac-teristics of hydrogen production from steam gasification of plant-originated lignocellulosic biomass and its prospects in Vietnam. Int. J. Hydrogen Energy 2021, 47, 4394–4425. [Google Scholar] [CrossRef]
Figure 1. (a) Neotrygon kuhlii (bluespotted maskray) fish and (b) sun drying of fish wastes.
Figure 1. (a) Neotrygon kuhlii (bluespotted maskray) fish and (b) sun drying of fish wastes.
Sustainability 14 01203 g001
Figure 2. The pyrolysis setup for this study [32].
Figure 2. The pyrolysis setup for this study [32].
Sustainability 14 01203 g002
Figure 3. SEM images of Neotrygon kuhlii fish waste for (a) 25×, (b) 100×, (c) 1000×, and (d) 5000×, resolutions.
Figure 3. SEM images of Neotrygon kuhlii fish waste for (a) 25×, (b) 100×, (c) 1000×, and (d) 5000×, resolutions.
Sustainability 14 01203 g003
Figure 4. The Fourier transform infrared results of fish wastes.
Figure 4. The Fourier transform infrared results of fish wastes.
Sustainability 14 01203 g004
Figure 5. The TGA and DTG curves for fish waste in the pyrolysis situation.
Figure 5. The TGA and DTG curves for fish waste in the pyrolysis situation.
Sustainability 14 01203 g005
Figure 6. TGA and DTG curves of fish waste in the combustion condition.
Figure 6. TGA and DTG curves of fish waste in the combustion condition.
Sustainability 14 01203 g006
Table 1. Proximate analysis of fish waste (Neotrygon kuhlii).
Table 1. Proximate analysis of fish waste (Neotrygon kuhlii).
Fish WasteMoisture Content (%)Volatile Matter (%)Fixed Carbon (%)Ash Content (%)Reference
Neotrygon kuhlii *4.8863.8015.0316.29This Study
De-oiled fish waste7.5574.9417.197.87[19]
Goat dung4.8083.456.743.79[33]
Cow dung7.7885.234.454.90
Fish waste7.8384.106.452.23
Poultry waste with sawdust5.7682.346.123.45
Poultry waste with sand4.2480.347.902.10
* Dry basis.
Table 2. Ultimate analysis of Neotrygon kuhlii.
Table 2. Ultimate analysis of Neotrygon kuhlii.
SampleCarbon (wt.%)Hydrogen (wt.%)Nitrogen (wt.%)Sulfur (wt.%)Oxygen (wt.%)Reference
Neotrygon kuhlii *42.065.9910.770.9140.27 **This study
De-oiled fish waste47.867.709.46--34.98[19]
Lamb74.6312.110.150.2712.50[23]
Poultry63.2511.261.030.2323.64[23]
Swine65.3811.310.580.0921.99[23]
* Dry basis, ** calculated from deduction.
Table 3. Calorific value of fish waste.
Table 3. Calorific value of fish waste.
Biomass SampleHHV/GCVUnitReference
Neotrygon kuhlii waste21.53MJ/kgThis study
De-oiled fish waste20.99MJ/kg[19]
Salmon fish16.01 to 23.14MJ/kg[40]
Pelates octolineatus12.83KJ/g[41]
Tilapia nilotica21.72MJ/kg[42]
Gasterosteus aculeatus8.16MJ/kg[42]
Table 4. EDX results for Neotrygon kuhlii fish waste.
Table 4. EDX results for Neotrygon kuhlii fish waste.
ElementAtomic (%)
Carbon (C)73.86
Oxygen (O)21.55
Magnesium (Mg)0.05
Sodium (Na)0.14
Phosphorus (P)0.97
Aluminum (Al)0.22
Sulfur (S)0.31
Calcium (Ca)2.90
Table 5. List of functional groups of Neotrygon kuhlii fish waste.
Table 5. List of functional groups of Neotrygon kuhlii fish waste.
Functional GroupWavenumber (cm−1)Ref.
O-H stretching of water3292[48]
C-H of cis-alkene -HC@CH-3014[51]
C-H stretching for methyl (−CH3) groups of lipids2956[49]
C-H from methylene (−CH2) asymmetric stretching of lipids2924[53]
C-H from methylene (−CH2) symmetric stretching of lipids2853[49]
C=O stretching of Amide I of proteins1656[48]
N-H bending and C-N stretching of proteins1543[48]
Methylene (−CH2) and methyl (−CH3) vibration of lipids1456[52]
Carboxylate group (COO−) symmetric stretching1404[49]
C-O stretching vibration bonds in the ester1236[50]
Methylene (−CH2) bending of lipids, C-O stretching1167[52]
C-O-C asymmetric stretching of lipid esters1101[51]
C-O stretching for lipids and proteins1043[51]
CH aromatic stretching vibrations873[50]
CH2 deformation vibration700,607[50]
Table 6. Different stages of temperature in the pyrolysis circumstance.
Table 6. Different stages of temperature in the pyrolysis circumstance.
ItemWeight Loss (%)Residue (%)Peak Temperature (°C)Peak DTG (wt.%/min)
Stage (i) 50–200 (°C)Stage (ii) 200–450 (°C)Stage (iii) 450–900 (°C)
Fish waste3.5655.729.9430.783524.58
Table 7. Different stages of temperature for the combustion situation.
Table 7. Different stages of temperature for the combustion situation.
ItemWeight Loss (%)Residue (%)Peak Temperature (°C)Peak DTG (wt.%/min)
Stage (i) 50–200 (°C)Stage (ii) 200–450 (°C)Stage (iii) 450–900 (°C)
Fish waste4.6443.9935.3416.03315/6063.22/3.77
Table 8. Production yield of Neotrygon kuhlii fish waste.
Table 8. Production yield of Neotrygon kuhlii fish waste.
Temperature (°C)Biochar (%)Bio-Oil (%)Bio-Syngas 1 (%)
40033.9647.7218.32
50029.3449.3221.34
60023.4633.8742.67
1 Calculated from deduction.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Reza, M.S.; Azad, A.K.; Abu Bakar, M.S.; Karim, M.R.; Sharifpur, M.; Taweekun, J. Evaluation of Thermochemical Characteristics and Pyrolysis of Fish Processing Waste for Renewable Energy Feedstock. Sustainability 2022, 14, 1203. https://doi.org/10.3390/su14031203

AMA Style

Reza MS, Azad AK, Abu Bakar MS, Karim MR, Sharifpur M, Taweekun J. Evaluation of Thermochemical Characteristics and Pyrolysis of Fish Processing Waste for Renewable Energy Feedstock. Sustainability. 2022; 14(3):1203. https://doi.org/10.3390/su14031203

Chicago/Turabian Style

Reza, Md Sumon, Abul K. Azad, Muhammad S. Abu Bakar, Md Rezaul Karim, Mohsen Sharifpur, and Juntakan Taweekun. 2022. "Evaluation of Thermochemical Characteristics and Pyrolysis of Fish Processing Waste for Renewable Energy Feedstock" Sustainability 14, no. 3: 1203. https://doi.org/10.3390/su14031203

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop