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Article

Economic Considerations on Nutrient Utilization in Wastewater Management

by
Josef Maroušek
1,2,* and
Anna Maroušková
1,3
1
Faculty of Technology, Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
2
Faculty of Agriculture, University of South Bohemia in České Budějovice, 370 05 České Budějovice, Czech Republic
3
Faculty of Economics, University of South Bohemia in České Budějovice, 370 05 České Budějovice, Czech Republic
*
Author to whom correspondence should be addressed.
Energies 2021, 14(12), 3468; https://doi.org/10.3390/en14123468
Submission received: 10 May 2021 / Revised: 27 May 2021 / Accepted: 7 June 2021 / Published: 11 June 2021
(This article belongs to the Special Issue Biowaste Management)

Abstract

:
There is wide consensus that Spirulina can serve as a tool for wastewater management and simultaneously provide feedstock for biorefining. However, the economic aspects associated with its use remain a significant challenge. Spirulina cultivated in wastewater decreased the concentrations of both ammonia and nitrate and also served as a biodiesel source. The oil obtained in the feedstock was subjected to transesterification and turned into biodiesel. The biodiesel was subsequently analyzed in a test motor (water-cooled, four-stroke, single-cylinder compression ignition with injection). The tests were conducted at a constant 1500 rpm, and the output power was 3.7 kW. Mixtures of diesel and biodiesel were also enriched with carbon nanotubes (CNTs). The amount of CNTs added to the diesel was 30 mg L−1. The algae and de-oiled biomass were characterized using XRD analysis, and an ultrasonicator was used to mix the CNTs with diesel and spirulina blends. A series of tests were conducted at different load conditions (25%, 50%, 75%, and 100%) for all fuel blends. Test results were compared with a neat diesel engine with a CR of 17.5:1. Among the fuel blends, the B25 reported improved brake thermal efficiency and reduced emissions. The outcomes are a reduction in thermal efficiency of 0.98% and exhaust gas temperature of 1.7%. The addition of Spirulina biodiesel blends had a positive impact on the reduction of greenhouse gas emissions, including reductions of 16.3%, 3.6%, 6.8%, and 12.35% of CO, NOx, and smoke, respectively. The specific fuel consumption and CO2 emissions were reduced by 5.2% and 2.8%, respectively, for B25 fuel blends compared to plain diesel and B50. Concerning cost competitiveness, vigorous research on microalgae for the production of biodiesel can cut production costs in the future.

1. Introduction

Over the past few decades, fossil fuel consumption has grown tremendously, putting pressure on an alternate fuels [1]. Overall, 81% of world energy is derived from fossil fuels, used to cool or heat homes and other commercial places, generate electricity, run vehicles, and fuel industry [2]. Despite positive qualities, fossil fuels emit unwanted and environmentally harmful gases, which cause global warming [3]. The detrimental qualities of gas emissions and the depletion of fossil fuel resources urge researchers to find a replacement for conventional oil [4]. The research on biofuel as an alternative to fossil fuels is supported by many countries, since bioresources are perceived by policymakers as abundant in nature and environmentally as well as economically sustainable. However, there is still skepticism, especially regarding price competitiveness [5]. Targeted cultivation of biomass for the production of biofuels has been realized. Current efforts are focused on the use of waste biomass. Initially, researchers concentrated on combining petroleum fuels with biofuel in different proportions, because complete replacement brought various technical problems in combustion engines [6]. However, the use of biofuel in transportation would significantly reduce greenhouse gas emissions. Nevertheless, adding biofuel blends at percentages of 20% to 50% reduces harmful gas emissions, such as carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxide (NOx), and unburnt hydrocarbon (UHC), by more than 50% [7,8]. The use of biofuel also reduces the break thermal efficiency (BTE) in combustion engines [9]. The usage of biomass should be increased to 35% and up to 50% by 2050 [10,11,12] to meet fossil fuel shortages in the future. In general, there is more than enough literature on the formation, qualities, and difficulties in biodiesel use. Extra investigation, effort, and attention are needed for research in the area of biomass production [13].
The idea of using Spirulina as the source of biofuel is comparatively new, and information and studies are limited, particularly for biofuel cultivated from wastewater [14,15].
The removal of nutrients such as ammonia and nitrate has been repeatedly and independently proven during multiple experiments on wastewater treatment [16]. The aim of this study was to examine whether biodiesel made of Spirulina oil, blended with conventional diesel with a concentration of 25 and 50%, decreases the effectiveness and performance of fuel in engine operation. The results of this study could significantly change the use of algae biofuels in the future.

2. Materials and Methods

2.1. Biodiesel Mixtures

In this study, biodiesel was produced from Spirulina cultivated in wastewater. Wastewater was obtained at a local municipal wastewater plant. The ammonium concentration was measured using the standard wastewater analysis [17]. The microalgae were grown in a 500 mL Erlenmeyer flask with Zarrouk liquid medium. pH levels were maintained below 9. The procured algae were grown in a 50 Hz photobioreactor. Every 48 h, the microalgae were harvested by centrifugation and dried for 60 min at 70 °C. Lipid extraction was done by mixing chloroform and methanol at 1: v/v by the Bligh and Dyers method [18]. The lipid extract was mixed with the 1:6 w/v methanol along with the catalyst 0.6 wt% NaOH and allowed to settle for at least 15 h. After transesterification, two typical layers were formed, one at the top and another at the bottom. Biodiesel and ethanol settled on the top layer, while the heavy phase glycerol settled at the bottom. The collected biodiesel was dried over anhydrous sodium sulphate [19,20,21]. FTIR analysis was performed for both conventional algae and de-oiled biomass using an IRAffinity-1s FTIR instrument, Shimadzu, Japan [22,23,24,25,26,27]. Fuel blends (conventional diesel mixed with biodiesel) were prepared by adding 25% (B25) and 50% (B50) of Spirulina biodiesel to neat diesel. Carbon nanotubes (CNTs) were subsequently added in the amount of 50 ppm by the ultrasonication process. The CNTs (2 nm diameter) were purchased from Light Mach Composites, India.

2.2. Test Engine Experimentation

The biodiesel mixtures were tested in a single-cylinder, four-stroke, water-cooled, compression ignition KIRLOSKAR AV1 diesel engine run by Spirulina microalgae at different proportions with 50 ppm carbon nanotubes. Tests were conducted for fuels such as D100 (neat diesel), B25 (25% biodiesel 50 ppm CNT) and B50 (50% biodiesel 50 ppm CNT) at different engine load conditions of 25%, 50%, 75%, and 100% at a speed of 1500 rpm. The combustion analysis and cylinder pressure were also analyzed in addition to the analysis of engine performance and emission characteristics. An illustration of the experimental setup is provided in Figure 1. The properties of different fuel blends are also shown in Table 1. While conducting all experiments, the engine speed was kept constant at 1500 rpm, with full load conditions and the compression ratio remaining the same at 17.5:1 [28,29].
The eddy current dynamometer was coupled with the engine setup for applying load. A separate control system monitored the load. The test fuels D100, B25 and B50 were used to test all the properties by maintaining a constant engine speed and compression ratio. A series of sensors were used to measure the air consumption rate and the orifice plate pressure. The location of the crank angle encoder was the opposite side of the eddy current dynamometer. The data acquisition system was equipped to measure fuel consumption with a burette-based optical sensor [30,31,32,33]. The combustion parameters, engine performance and combustion performance were calculated by keeping the engine at full load.
The considered error in the measurement of all properties of the diesel engine was taken as ±0.15. The exhaust gas emission parameters of NOx, CO, HC and CO2 were measured using the Testo-350 analyzer [34]. The uncertainty percentage and the accuracy while using the Testo-350 instrument were calculated and are listed in Table 2.

2.3. Analysis of Uncertainty

The uncertainty of measurements and possible errors were analyzed [35] 5 times during every measurement. The analysis of uncertainty was carried out to calculate the overall uncertainty percentage using the formula given below. The errors used for the calculation are listed in Table 2. The overall percentage of uncertainty was ±2.155% [36,37,38].
R 0 = R ( X 1   , X 2   X n )  
U R R = ( X n R R X n ) 2 U X n 2 X n 2
where
R0—Independent variable functions
R x 1 —Sensitivity for a single variable

3. Results and Discussion

3.1. Production of Spirulina platensis Biomass and Nutrient Removal

The cultivation of Spirulina in wastewater showed that the efficient time of cultivation must be lower than six days (Figure 2) due to the decreasing concentration of nutrients. As the concentration of the wastewater increased from 0.03 v/v to 0.25 v/v, the biomass concentration decreased by 90%, which confirmed that Spirulina competed for the nutrients with other microorganisms in unsterilized wastewater, and the highest dilution is necessary for the successful growth of Spirulina.
Ammonium and nitrate concentrations in the wastewater were sufficiently removed during the Spirulina cultivation (Figure 3). Original ammonia and nitrate concentrations decreased from 0.75 and 0.8 to 0.15 and 0.52, respectively, after 75 h. The decrease of ammonia to half of its original concentration was recorded within 40 h of cultivation, and nitrate concentration decreased by the same amount in 75 h (Figure 3).

3.2. FTIR Analysis

FTIR analyses of Spirulina biomass, de-oiled biomass, Algae blends, and neat diesel were performed (Figure 4 and Figure 5). The peaks from 3100 cm−1 to 2800 cm−1 denote the presence of lipids [39]. Due to the formation of high concentration lipids, the quality of the bio-oil was impacted, with reduced calorific value. Notably, peaks of 2943.23 and 1723.56 cm−1 were responsible for the stretching of -CH2- groups [40,41]. The drop in the peaks clearly emphasize the exaction of the lipid content from the biomass. The highest peak of 3462.13 cm−1 and the lowest peak of 1050.13 cm−1 were observed for the Spirulina blends and neat diesel due to the stretching of the double bond and C-O bond. The peaks in the algae were different from neat biodiesel (Figure 5) due to the presence of aliphatic hydrocarbon content in the neat diesel.

3.3. Combustion Analysis Parameters

The main parameters that determine combustion chamber performance are chamber pressure, heat release rate (HRR) and cylinder peak heat release rate (CPHRR), ignition delay (ID), and maximum rate of pressure rise (MRPR). These parameter values were measured load conditions of 0 % to 100 % for the fuel blends of B25 and B50.

3.3.1. Cylinder Pressure

Cylinder pressure directly affects exhaust gas emissions. The variation in cylinder pressure for different crank angles at the compression ratio of 17.5:1 for the D100, B25 and B50 fuels is shown in Figure 6. Biodiesel made of Spirulina and enriched with CNT showed characteristics similar to D100 at the crank angle of 369.9. Moreover, the cylinder pressure was 88.0 MPa, and for the blends B25 and B50 the cylinder pressure was 863 kPa and 855 kPa, respectively, under the same conditions. The cylinder pressure was lower in the CNT B25 blend; however, NOx emissions were higher. The rate of combustion depends mainly on the cylinder pressure. The type of fuel used also plays a significant role. The cylinder pressure variation for different fuel blends of Spirulina and CNTs as well as plain diesel fuel is shown in Figure 6. Cylinder pressure was consistently high for plain diesel D100, which was 2% higher than B25 and 5.4% higher than B50.

3.3.2. Heat Release Rate

The factors determining heat release rate are the viscosity of the fuel, air–fuel mixing and the heating value of biofuels. The highest heat release was observed in D100, with lower rates in the Spirulina fuel blended with CNT (Figure 7). B25 and B50 showed a reduced heat release rate compared to D100 [26]. This was caused by the higher viscosity of the diesel, longer ignition delay, and the difficulties in mixing the fuel with air. As the spray formation rate increases in all Spirulina CNT fuel blends due to a decrease in viscosity, the heat release rate for all fuel blends is lower than for the diesel. As the blend ratio increases, the viscosity increases simultaneously with the oxygen content. Due to the increment in the viscosity, the fuel blends show a reduced heat release rate. The higher ignition delay results in an increased heat release rate in the D100. The heat release rates at 25% and 75% loads were expressed as 39.2 J/CA, 38.51 J/CA and 77.3 J/CA, 74.6 J/CA, respectively. The B25 and B50 blends were found to produce a heat release rate of about 5.8% at CR17.5. The values of maximum heat release rate were 88.51 J/CA for B25 and 87.3 J/CA for B50.

3.3.3. Rate of Pressure Rise

The measurement of pressure rise (MRPR) with different loads of 25%, 50%, 75%, and 100% for neat diesel and CNT-mixed B25 and B50 revealed peak pressure that was observed near the top dead center and that increased the power output (Figure 8) [42,43]. The determination of MRPR is crucial since it is one of the main reasons for NOx emissions and the cause of knocking. The peak pressure values were 8.09, 7.55, and 7.5 for D100, B25, and B50, respectively [44,45,46]. At 100% load, the rate of MRPR was 2.8% higher in D100 fuel than the B50 fuel blend at the compression ratio of 17.5. The lower rates of MRPR for D100 and B50 were 3.15 bar/deg and 2.4 bar/deg. Considering the knocking effect, the peak pressure level was above 0.8 MPa. The permissible level of pressure is from 6 to 7 bar [47,48]. When comparing the results, dispersion of CNT with the conventional diesel improved the compression ratio. Further, the blends with CNT had better anti-knocking quality than other fuel blends.

3.3.4. Ignition Delay

Ignition delay refers to the time gap between the time of injection of the fuel and its ignition, and it rises with the amount of injected fuel. Higher ignition delay leads to higher NOx emissions, higher heat release rate due to over consumption of fuel, and higher air–fuel mixing rate. The ignition delay for D100 was lower than for B25 and B50 (Figure 9). The ignition delay for D100 was 12.02º, and it was 12.65º for the fuel blends of CNT, pre biodiesel, B25 and B50, which is lower due to a CR of 17.5 [49,50,51,52,53]. Emissions are reduced by maintaining the pressure and temperature, resulting in the stable operation of the engine.

3.4. Analysis of Engine Performance

3.4.1. Specific Fuel Consumption

Density and viscosity of the fuel are the influencing factors for specific fuel consumption. The calculated SFC [54] of B25 was the lowest (Figure 10). On the other hand, the fuel consumption rate of other blends was higher due to the deficit in the heating release rate. Initially, at 25% engine load, the BSFC was 599 g/kWh, 556.3 g/kWh and 576.4 g/kWh for D100, B25 and B50, respectively. Surprisingly, the performance value of B25 was 8.6% higher than D100. On the other hand, at full load conditions, the respective BSFC values were 295 g/kWh, 248 g/kWh, and 278 g/kWh. Typically, this is 17.3% and 59% lower than neat diesel [55].

3.4.2. Brake Thermal Efficiency

The factors affecting the BTE are the volatility, viscosity, density, and heating value of fuel. BTE is reduced due to a decrease in the calorific value of fuel. The calorific value of B25 and B50 was low due to the additional consumption of fuel. The brake thermal efficiency of B50 was lower than the BTE of B25. The BTE values of D100, B25, and B50 were 28%, 26.5%, and 32.1%, respectively, at 80% load condition of the engine [56]. At full load, there was a drastic drop in BTE (Figure 11). The total reduction in BTE of B50 was 5.3% when compared to B25.

3.4.3. Exhaust Gas Temperature

With a higher amount of fuel injected into the engine, the engine’s temperature increases, which consequently increases EGT. The combustion process timing also affects the EGT [57]. However, due to the lower calorific value and higher oxygen content present in the biodiesel blends, the EGT value is lower than in diesel because of the short complete combustion. The EGT of B50 was 7.5% lower than the EGT of B25 (Figure 12). The EGT values of D100, B25, and B50 at CR17.5 were 620 K, 663 K, and 635 K, respectively. On the other hand, B50 reported a temperature 4% lower than B25. The biofuels had lower heating value and lower EGT due to early combustion, allowing them to increase the crank angle and the ignition time. From these results, it is clearly seen that there is a partial combustion of the biofuels, thus providing better combustibility than diesel [58].

3.5. Emission Analysis

3.5.1. Carbon Dioxide (CO2) Emissions

CO2 emissions were higher in the biodiesel blends, especially in B50 (Figure 13). Early combustion and blend ratio play an important role, and these parameters are interrelated. Moreover, the addition of Carbon Nanotubes to the fuel mix increases the CO2 emissions. The CO2 emission rate of B25 and B50 was 940 g/kWh and 980 g/kWh, respectively [59,60]. The net increment in CO2 emissions in the fuel blend B25 was around 3% compared to neat diesel.

3.5.2. NOx Emissions

The nitrous oxide emission variation based on different load conditions for algae-based biodiesel blends is depicted in Figure 14. The linear increment in emissions of nitrous oxide is clearly seen in Figure 14 for all the blends. Oxygen content and combustion temperature in the combustion product determines the nitrous oxide formation. In general, increments in load conditions leads to linear increases in NOx emissions, resulting in an increase of the average gas temperature and fuel to air ratio. Algae-based biodiesel showed lower nitrous oxide emissions and high heat release rates. Shorter combustion duration reduces the biodiesel blends’ NOx emissions. In addition, the shorter duration available to form nitrous oxide from nitrogen reduces the NOx emissions. This process decreases the gas temperature, which ultimately reduces NOx emissions. From Figure 14, it is evident that biodiesel blends showed lower NOx emissions from 25% to 100% load conditions. The B25 blend showed more than 100% reduction in NOx emissions compared to conventional fuel. The reason behind the lower NOx emissions is that biodiesel fuel has improper spray properties, due to an increase in density and viscosity, along with improper combustion.

3.5.3. Hydro Carbon (HC) Emissions

The unburned HC emissions of biofuel were lower than for diesel (Figure 15). The higher amount of oxygen present in the biofuels improves the combustion process, thus decreasing the HC emissions [61]. The HC emissions are directly opposite to the NOx emissions. As the HC emissions decrease, the NO and NOx emissions increase [62,63]. The amount of NOx emissions was 0.058 g/kWh, 0.057 g/kWh, and 0.038 g/kWh for D100, B25, and B50, respectively.

3.5.4. Carbon Monoxide (CO)

Owing to the complete combustion of biofuels, the emission rate of CO is lower in all biofuels (Figure 16). The rate of CO emissions for the D100, B25, and B50 was 3.56 g/kWh, 3.43 g/kWh, and 2.92 g/kWh, respectively, at CR17.5 and at full load conditions [31,39]. The reduced CO rate for B25 was about 2.8%, which is comparatively lower than diesel.

3.5.5. Smoke Emissions

The smoke emission rate of biofuels is lower than diesel (Figure 17). The higher amount of oxygen present in the CNT-added spirulina microalgae biofuel helps achieve the complete burning of the fuel, which results in reduced smoke [64]. The quality air-fuel mixture also plays an important role in the emission of smoke. Rather than increased load resulting in increased smoke emissions, the increased blend ratio reduced the smoke emissions. The smoke emission for D100 at full load condition was 12.35%, while the smoke emission of B25 was 3.5%. This proves the positive properties of the B25 and B50 biofuels.

3.6. Economic Considerations

A decade ago, the biodiesel derived from purpose-grown algae was considered as a potential third generation fuel, and the technological concept attracted policymakers and investors. Many industrial firms had great confidence that biofuels would replace fossil fuels. However, the production cost of the biodiesel obtained (3–7 € L−1) was far from competitive with existing fossil diesel fuels. Following these observations, many policymakers and investors realized that such expensive fuels would significantly reduce the competitiveness of key products to an extent they could afford. As a result, policies were tuned down, and many corporations went bankrupt. Most efforts to produce biofuels from purpose-grown biomass ended in a similar way, and despite much effort, production of cheap fuel from purpose-grown algae remains a distant dream. Production of inexpensive fuel from algae is currently impossible due to the high cultivation and harvesting costs. To produce 1 kg of biodiesel from algae costs more than €2, which is 50% higher than corn or soybean biodiesel [65]. Reducing the chemical conversion burden in the transesterification process cuts processing costs. Although technologies like the usage of CO2 for harvesting algae cuts 25% of production costs, there is still a long way to go before algae can be seen as a usable fuel. In a nutshell, from this study we can confirm the possibility of the usage of algae fuel in conventional diesel engines [66]. However, sustainability is questionable due to production costs [67]. By strengthening the economic sustainability of microalgae production and harvesting, the production biodiesel can be made viable [68,69].

4. Conclusions

Experimental analysis was done for D100, B25, and B50 fuels, and the following conclusions were drawn. Spirulina could be cultivated only in highly diluted wastewater at the advance of nutrient removal. The biodiesel extracted from the biomass was effectively utilized by blending with neat diesel. The ignition delay was reduced in all biofuel blends due to the higher cetane number, caused by the addition of carbon nanotubes and oil extracted from Spirulina biomass.
In the performance characteristics, the BTE was reduced slightly for all fuel blends. For diesel, the BTE gradually increased at different load conditions. A slight increment in the SFC was noticed in the case of biofuels. The peak pressure reached for D100, B25, and B50 fuel blends was 86 bar, 84.3 bar, and 81.4 bar, respectively. The peak pressure for B25 was close to the peak pressure value of B50.
The heat release rate for D100, B25, and B50 was 93.54 J/CA, 87.1 J/CA, and 63.2 J/CA, respectively. Considering the emission characteristics, for all biofuels, NOx was lower than for diesel; however, as the load condition increased, NOx emissions also increased because of the improved compression. Similarly, CO emissions were lower than for diesel. To conclude, the attempt to use the B25 and B50 blends as an alternative fuel was successful, as they produced lower emissions of harmful greenhouse gases. However, the sustainability of algae-derived biodiesel was questionable due to the higher production and harvesting costs. Compared to conventional diesel, the algae-derived fuels were 60% more expensive. Thus, finding optimized inexpensive methods are essential to replace conventional fuels.

Author Contributions

Conceptualization, J.M.; writing—review and editing, A.M. Both authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Coram, A.; Katzner, D.W. Reducing fossil-fuel emissions: Dynamic paths for alternative energy-producing technologies. Energy Econ. 2018, 70, 179–189. [Google Scholar] [CrossRef]
  2. Anto, S.; Mukherjee, S.S.; Muthappa, R.; Mathimani, T.; Deviram, G.; Kumar, S.S.; Verma, T.N.; Pugazhendhi, A. Algae as green energy reserve: Technological outlook on biofuel production. Chemosphere 2020, 242, 125079. [Google Scholar] [CrossRef] [PubMed]
  3. Ghadiryanfar, M.; Rosentrater, K.A.; Keyhani, A.; Omid, M. A review of macroalgae production, with potential applications in biofuels and bioenergy. Renew. Sustain. Energy Rev. 2016, 54, 473–481. [Google Scholar] [CrossRef]
  4. Mahmudul, H.M.; Hagos, F.Y.; Mamat, R.; Adam, A.A.; Ishak, W.F.W.; Alenezi, R. Production, characterization and performance of biodiesel as an alternative fuel in diesel engines—A review. Renew. Sustain. Energy Rev. 2017, 72, 497–509. [Google Scholar] [CrossRef]
  5. Elkelawy, M.; Kabeel, A.E.; El Shenawy, E.A.; Panchal, H.; Elbanna, A.; Bastawissi, H.A.E.; Sadasivuni, K.K. Experimental investigation on the influences of acetone organic compound additives into the diesel/biodiesel mixture in CI engine. Sustain. Energy Technol. Assess. 2020, 37, 100614. [Google Scholar] [CrossRef]
  6. Pereira, L.G.; Cavalett, O.; Bonomi, A.; Zhang, Y.; Warner, E.; Chum, H.L. Comparison of biofuel life-cycle GHG emissions assessment tools: The case studies of ethanol produced from sugarcane, corn, and wheat. Renew. Sustain. Energy Rev. 2019, 110, 1–12. [Google Scholar] [CrossRef]
  7. Kamil, M.; Ramadan, K.M.; Awad, O.I.; Ibrahim, T.K.; Inayat, A.; Ma, X. Environmental impacts of biodiesel production from waste spent coffee grounds and its implementation in a compression ignition engine. Sci. Total. Environ. 2019, 675, 13–30. [Google Scholar] [CrossRef]
  8. Ahmad, T.; Danish, M.; Kale, P.; Geremew, B.; Adeloju, S.B.; Nizami, M.; Ayoub, M. Optimization of process variables for biodiesel production by transesterification of flaxseed oil and produced biodiesel characterizations. Renew. Energy 2019, 139, 1272–1280. [Google Scholar] [CrossRef]
  9. Li, G.; Zhang, J.; Li, H.; Hu, R.; Yao, X.; Liu, Y.; Zhou, Y.; Lyu, T. Towards high-quality biodiesel production from microalgae using original and anaerobically-digested livestock wastewater. Chemosphere 2021, 273, 128578. [Google Scholar] [CrossRef]
  10. Martin, N.; Lombard, M.; Jensen, K.R.; Kelley, P.; Pratt, T.; Traviss, N. Effect of biodiesel fuel on “real-world”, nonroad heavy duty diesel engine particulate matter emissions, composition and cytotoxicity. Sci. Total. Environ. 2017, 586, 409–418. [Google Scholar] [CrossRef]
  11. Maroušek, J.; Myšková, K.; Žák, J. Managing environmental innovation: Case study on biorefinery concept. Rev. Técnica Fac. Ing. Univ. Zulia 2015, 38, 216–220. [Google Scholar]
  12. Negm, N.A.; Betiha, M.A.; Alhumaimess, M.S.; Hassan, H.M.A.; Rabie, A.M. Clean transesterification process for biodiesel production using heterogeneous polymer-heteropoly acid nanocatalyst. J. Clean Prod. 2019, 238. [Google Scholar] [CrossRef]
  13. Moazeni, F.; Chen, Y.C.; Zhang, G. Enzymatic transesterification for biodiesel production from used cooking oil, a review. J. Clean Prod. 2019, 216, 117–128. [Google Scholar] [CrossRef]
  14. Mata, S.N.; de Souza Santos, T.; Cardoso, L.G.; Andrade, B.B.; Duarte, J.H.; Costa, J.A.V.; de Souza, C.O.; Druzian, J.I. Spirulina sp. LEB 18 cultivation in a raceway-type bioreactor using wastewater from desalination process: Production of carbohydrate-rich biomass. Bioresour. Technol. 2020, 311, 123495. [Google Scholar] [CrossRef]
  15. Cardoso, L.G.; Duarte, J.H.; Andrade, B.B.; Lemos, P.V.F.; Costa, J.A.V.; Druzian, J.I.; Chinalia, F.A. Spirulina sp. LEB 18 cultivation in outdoor pilot scale using aquaculture wastewater: High biomass, carotenoid, lipid and carbohydrate production. Aquaculture 2020, 525, 735272. [Google Scholar] [CrossRef]
  16. Nithya, S.; Manigandan, S.; Gunasekar, P.; Devipriya, J.; Saravanan, W.S.R. The effect of engine emission on canola biodiesel blends with TiO2. Int. J. Ambient. Energy 2019, 40, 838–841. [Google Scholar] [CrossRef]
  17. Manigandan, S.; Gunasekar, P.; Nithya, S.; Devipriya, J. Effects of nanoadditives on emission characteristics of engine fuelled with biodiesel. Energy Sources Part A Recover Util. Environ. Eff. 2020, 42, 1–9. [Google Scholar] [CrossRef]
  18. Hasannuddin, A.K.; Yahya, W.J.; Sarah, S.; Ithnin, A.M.; Syahrullail, S.; Sidik, N.; Abu Kassim, K.; Ahmad, Y.; Hirofumi, N.; Ahmad, M.; et al. Nano-additives incorporated water in diesel emulsion fuel: Fuel properties, performance and emission characteristics assessment. Energy Convers. Manag. 2018, 169, 291–314. [Google Scholar] [CrossRef]
  19. Manigandan, S.; Gunasekar, P.; Devipriya, J.; Nithya, S. Emission and injection characteristics of corn biodiesel blends in diesel engine. Fuel 2019, 235, 723–735. [Google Scholar] [CrossRef]
  20. Zhai, J.; Li, X.; Li, W.; Rahaman, M.H.; Zhao, Y.; Wei, B.; Wei, H. Optimization of biomass production and nutrients removal by Spirulina platensis from municipal wastewater. Ecol. Eng. 2017, 108, 83–92. [Google Scholar] [CrossRef]
  21. Zhou, W.; Li, Y.; Gao, Y.; Zhao, H. Nutrients removal and recovery from saline wastewater by Spirulina platensis. Bioresour. Technol. 2017, 245, 10–17. [Google Scholar] [CrossRef]
  22. Wuang, S.C.; Khin, M.C.; Chua, P.Q.D.; Luo, Y.D. Use of Spirulina biomass produced from treatment of aquaculture wastewater as agricultural fertilizers. Algal. Res. 2016, 15, 59–64. [Google Scholar] [CrossRef]
  23. Almomani, F.; Bohsale, R.R. Bio-sorption of toxic metals from industrial wastewater by algae strains Spirulina platensis and Chlorella vulgaris: Application of isotherm, kinetic models and process optimization. Sci. Total. Environ. 2021, 755, 142654. [Google Scholar] [CrossRef] [PubMed]
  24. Arif, M.; Li, Y.; El-Dalatony, M.M.; Zhang, C.; Li, X.; Salama, E.S. A complete characterization of microalgal biomass through FTIR/TGA/CHNS analysis: An approach for biofuel generation and nutrients removal. Renew. Energy 2021, 163, 1973–1982. [Google Scholar] [CrossRef]
  25. Atabani, A.E.; Shobana, S.; Mohammed, M.N.; Uğuz, G.; Kumar, G.; Arvindnarayan, S.; Aslam, M.; Al-Muhtaseb, A.H. Integrated valorization of waste cooking oil and spent coffee grounds for biodiesel production: Blending with higher alcohols, FT–IR, TGA, DSC and NMR characterizations. Fuel 2019, 244, 419–430. [Google Scholar] [CrossRef]
  26. Rajak, U.; Verma, T.N. Spirulina microalgae biodiesel—A novel renewable alternative energy source for compression ignition engine. J. Clean Prod. 2018, 201, 343–357. [Google Scholar] [CrossRef]
  27. Maroušek, J. Novel technique to enhance the disintegration effect of the pressure waves on oilseeds. Ind. Crops Prod. 2014, 53, 1–5. [Google Scholar] [CrossRef]
  28. Erdoğan, S.; Balki, M.K.; Sayin, C. The effect on the knock intensity of high viscosity biodiesel use in a DI diesel engine. Fuel 2019, 253, 1162–1167. [Google Scholar] [CrossRef]
  29. Nautiyal, P.; Subramanian, K.A.; Dastidar, M.G.; Kumar, A. Experimental assessment of performance, combustion and emissions of a compression ignition engine fuelled with Spirulina platensis biodiesel. Energy 2020, 193, 116861. [Google Scholar] [CrossRef]
  30. Manigandan, S.; Ponnusamy, V.K.; Devi, P.B.; Oke, S.A.; Sohret, Y.; Venkatesh, S.; Vimal, M.; Gunasekar, P. Effect of nanoparticles and hydrogen on combustion performance and exhaust emission of corn blended biodiesel in compression ignition engine with advanced timing. Int. J. Hydrogen Energy 2020, 45, 3327–3339. [Google Scholar] [CrossRef]
  31. Rajak, U.; Nashine, P.; Verma, T.N.; Pugazhendhi, A. Performance, combustion and emission analysis of microalgae Spirulina in a common rail direct injection diesel engine. Fuel 2019, 255, 115855. [Google Scholar] [CrossRef]
  32. Alptekin, E.; Sanli, H.; Canakci, M. Combustion and performance evaluation of a common rail DI diesel engine fueled with ethyl and methyl esters. Appl. Therm. Eng. 2019, 149, 180–191. [Google Scholar] [CrossRef]
  33. Roy, M.; Mohanty, K. A comprehensive review on microalgal harvesting strategies: Current status and future prospects. Algal. Res. 2019, 44, 101683. [Google Scholar] [CrossRef]
  34. Enweremadu, C.C.; Rutto, H.L. Combustion, emission and engine performance characteristics of used cooking oil biodiesel—A review. Renew. Sustain. Energy Rev. 2010, 14, 2863–2873. [Google Scholar] [CrossRef]
  35. Islam, M.A.; Rahman, M.M.; Heimann, K.; Nabi, M.N.; Ristovski, Z.D.; Dowell, A.; Thomas, G.; Feng, B.; von Alvensleben, N.; Brown, R.J. Combustion analysis of microalgae methyl ester in a common rail direct injection diesel engine. Fuel 2015, 143, 351–360. [Google Scholar] [CrossRef] [Green Version]
  36. Chamkalani, A.; Zendehboudi, S.; Rezaei, N.; Hawboldt, K. A critical review on life cycle analysis of algae biodiesel: Current challenges and future prospects. Renew. Sustain. Energy Rev. 2020, 134, 110143. [Google Scholar] [CrossRef]
  37. Islam, M.A.; Heimann, K.; Brown, R.J. Microalgae biodiesel: Current status and future needs for engine performance and emissions. Renew. Sustain. Energy Rev. 2017, 79, 1160–1170. [Google Scholar] [CrossRef] [Green Version]
  38. Soloiu, V.; Moncada, J.D.; Gaubert, R.; Knowles, A.; Molina, G.; Ilie, M.; Harp, S.; Wiley, J.T. Reactivity Controlled Compression Ignition combustion and emissions using n-butanol and methyl oleate. Energy 2018, 165, 911–924. [Google Scholar] [CrossRef]
  39. Nabi, M.N.; Rasul, M.G.; Anwar, M.; Mullins, B.J. Energy, exergy, performance, emission and combustion characteristics of diesel engine using new series of non-edible biodiesels. Renew. Energy 2019, 140, 647–657. [Google Scholar] [CrossRef]
  40. Uyumaz, A. Combustion, performance and emission characteristics of a DI diesel engine fueled with mustard oil biodiesel fuel blends at different engine loads. Fuel 2018, 212, 256–267. [Google Scholar] [CrossRef]
  41. Gharehghani, A.; Mirsalim, M.; Hosseini, R. Effects of waste fish oil biodiesel on diesel engine combustion characteristics and emission. Renew. Energy 2017, 101, 930–936. [Google Scholar] [CrossRef]
  42. Mostafa, S.S.; El-Gendy, N.S. Evaluation of fuel properties for microalgae Spirulina platensis bio-diesel and its blends with Egyptian petro-diesel. Arab. J. Chem. 2017, 10, S2040–S2050. [Google Scholar] [CrossRef] [Green Version]
  43. Lee, J.Y.; Yoo, C.; Jun, S.Y.; Ahn, C.Y.; Oh, H.M. Comparison of several methods for effective lipid extraction from microalgae. Bioresour. Technol. 2010, 101, S75–S77. [Google Scholar] [CrossRef]
  44. Lee, S.A.; Lee, N.; Oh, H.M.; Ahn, C.Y. Stepwise treatment of undiluted raw piggery wastewater, using three microalgal species adapted to high ammonia. Chemosphere 2021, 263, 127934. [Google Scholar] [CrossRef]
  45. Nagarajan, S.; Chou, S.K.; Cao, S.; Wu, C.; Zhou, Z. An updated comprehensive techno-economic analysis of algae biodiesel. Bioresour. Technol. 2013, 145, 150–156. [Google Scholar] [CrossRef]
  46. Kovacova, M.; Kliestik, T.; Valaskova, K.; Durana, P.; Juhaszova, Z. Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries. Oeconomia Copernic. 2019, 10, 743–772. [Google Scholar] [CrossRef] [Green Version]
  47. Jandacčka, J.; Micčieta, J.; Holubcčík, M.; Nosek, R. Experimental Determination of Bed Temperatures during Wood Pellet Combustion. Energy Fuels 2017, 31, 2919–2926. [Google Scholar] [CrossRef]
  48. Hadzima, B.; Janeček, M.; Estrin, Y.; Kim, H.S. Microstructure and corrosion properties of ultrafine-grained interstitial free steel. Mater. Sci. Eng. A 2007, 462, 243–247. [Google Scholar] [CrossRef]
  49. Peters, E.; Kliestik, T.; Musa, H.; Durana, P. Product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning in sustainable industry 4.0. J. Self-Gov. Manag. Econ. 2020, 8, 16–22. [Google Scholar]
  50. Maroušek, J.; Maroušková, A.; Kůs, T. Shower cooler reduces pollutants release in production of competitive cement substitute at low cost. Energy Sources Part A Recovery Util. Environ. Eff. 2020, 1–10. [Google Scholar] [CrossRef]
  51. Jaliliantabar, F.; Ghobadian, B.; Carlucci, A.P.; Najafi, G.; Mamat, R.; Ficarella, A.; Strafella, L.; Santino, A.; De Domenico, S. A comprehensive study on the effect of pilot injection, EGR rate, IMEP and biodiesel characteristics on a CRDI diesel engine. Energy 2020, 194, 116860. [Google Scholar] [CrossRef]
  52. Maroušek, J.; Bartoš, P.; Filip, M.; Kolář, L.; Konvalina, P.; Maroušková, A.; Moudrý, J.; Peterka, J.; Šál, J.; Šoch, M.; et al. Advances in the agrochemical utilization of fermentation residues reduce the cost of purpose-grown phytomass for biogas production. Energy Sources Part A Recovery Util. Environ. Eff. 2020, 15, 1–11. [Google Scholar] [CrossRef]
  53. Cheruiyot, N.K.; Hou, W.C.; Wang, L.C.; Chen, C.Y. The impact of low to high waste cooking oil-based biodiesel blends on toxic organic pollutant emissions from heavy-duty diesel engines. Chemosphere 2019, 235, 726–733. [Google Scholar] [CrossRef]
  54. Han, Y.; Liu, S.; Geng, Z.; Gu, H.; Qu, Y. Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model. Energy 2021, 218, 119508. [Google Scholar] [CrossRef]
  55. Kliestik, T.; Misankova, M.; Valaskova, K.; Svabova, L. Bankruptcy prevention: New effort to reflect on legal and social changes. Sci. Eng. Ethics 2018, 24, 791–803. [Google Scholar] [CrossRef] [PubMed]
  56. Valaskova, K.; Throne, O.; Kral, P.; Michalkova, L. Deep learning-enabled smart process planning in cyber-physical system-based manufacturing. J. Self-Gov. Manag. Econ. 2020, 8, 121–127. [Google Scholar]
  57. Maroušek, J. Finding the optimal parameters for the steam explosion process of hay. Rev. Técnica Fac. Ing. Univ. Zulia 2012, 35, 170–178. [Google Scholar]
  58. Lenhard, R.; Malcho, M.; Jandačka, J. Modelling of heat transfer in the evaporator and condenser of the working fluid in the heat pipe. Heat Transf. Eng. 2019, 40, 215–226. [Google Scholar] [CrossRef]
  59. Bencsik, A.; Kosár, S.T.; Machová, R. Corporate Culture in Service Companies that Support Knowledge Sharing. J. Tour. Serv. 2018, 9, 7–13. [Google Scholar] [CrossRef]
  60. Marousek, J. Study on commercial scale steam explosion of winter Brassica napus straw. Int. J. Green Energy 2013, 10, 944–951. [Google Scholar] [CrossRef]
  61. Muo, I.; Azeez, A.A. Green Enterreteneurship: Literature Review and Agenda for Future Research. Int. J. Entrep. Knowl. 2019, 7, 17–29. [Google Scholar] [CrossRef] [Green Version]
  62. Lampropoulos, G.; Siakas, K.; Anastasiadis, T. Internet of Things in the Context of Industry 4.0: An Overview. Int. J. Entrep. Knowl. 2019, 7, 4–19. [Google Scholar] [CrossRef]
  63. Nefzi, N. Fear of failure and entrepreneurial risk perception. Int. J. Entrep. Knowl. 2018, 6, 45–58. [Google Scholar] [CrossRef]
  64. Kliestik, T.; Nica, E.; Musa, H.; Poliak, M.; Mihai, E.A. Networked, Smart, and Responsive Devices in Industry 4.0 Manufacturing Systems. Econ. Manag. Financ. Mark. 2020, 15, 23–29. [Google Scholar]
  65. Kubalek, J.; Camska, D.; Strouhal, J. Personal Bankruptcies from Macroeconomic Perspective. Int. J. Entrep. Knowl. 2017, 5, 78–88. [Google Scholar] [CrossRef]
  66. Kliestik, T.; Valaskova, K.; Nica, E.; Kovacova, M.; Lazaroiu, G. Advanced methods of earnings management: Monotonic trends and change-points under spotlight in the Visegrad countries. Oeconomia Copernic. 2020, 11, 371–400. [Google Scholar] [CrossRef]
  67. Stávková, J.; Maroušek, J. Novel sorbent shows promising financial results on P recovery from sludge water. Chemosphere 2021, 276, 130097. [Google Scholar] [CrossRef] [PubMed]
  68. Wang, Z.; Han, Y.; Li, C.; Geng, Z.; Fan, J. Input-output networks considering graphlet-based analysis for production optimization: Application in ethylene plants. J. Cleaner Prod. 2021, 278, 123955. [Google Scholar] [CrossRef]
  69. Vatankhah, S.; Zarra-Nezhad, M.; Amirnejad, G. An empirical assessment of willingness to accept “low-cost” air transport services: Evidence from the Middle East. J. Tour. Serv. 2019, 10, 79–103. [Google Scholar] [CrossRef]
Figure 1. Experimental setup for fuel analysis.
Figure 1. Experimental setup for fuel analysis.
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Figure 2. Algae cultivation dynamics.
Figure 2. Algae cultivation dynamics.
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Figure 3. Nitrogen dynamics.
Figure 3. Nitrogen dynamics.
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Figure 4. FTIR analyses.
Figure 4. FTIR analyses.
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Figure 5. FTIR analyses.
Figure 5. FTIR analyses.
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Figure 6. Analysis of cylinder pressure variations.
Figure 6. Analysis of cylinder pressure variations.
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Figure 7. Analysis of heat release.
Figure 7. Analysis of heat release.
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Figure 8. Analysis of maximum rate of pressure.
Figure 8. Analysis of maximum rate of pressure.
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Figure 9. Analysis of ignition delay.
Figure 9. Analysis of ignition delay.
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Figure 10. Analysis of BSFC.
Figure 10. Analysis of BSFC.
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Figure 11. Analysis of BTE.
Figure 11. Analysis of BTE.
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Figure 12. Analysis of exhaust rate temperature.
Figure 12. Analysis of exhaust rate temperature.
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Figure 13. Analysis of CO2 emissions.
Figure 13. Analysis of CO2 emissions.
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Figure 14. Analysis of NOX emissions.
Figure 14. Analysis of NOX emissions.
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Figure 15. Analysis of HC emissions.
Figure 15. Analysis of HC emissions.
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Figure 16. Analysis of CO emissions.
Figure 16. Analysis of CO emissions.
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Figure 17. Smoke analysis.
Figure 17. Smoke analysis.
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Table 1. Properties of biodiesel and nano-additive blended fuel.
Table 1. Properties of biodiesel and nano-additive blended fuel.
PropertiesDieselB50B25
Kinematic Viscosity at 40 °C (mm2/s)2.22.672.3
Cetane Number5450.555
Calorific Value (KJ/Kg)43,32444,35044,700
Flash Point464140
Table 2. Accuracy of measurements and uncertainties.
Table 2. Accuracy of measurements and uncertainties.
Device UsedParameterMeasuring
Range
ResolutionAccuracyMaximum
Uncertainty
Fuel measuring
burette
Fuel flow (g/h)0–100 mL-±1 ml±0.5%
Electronic precision balanceFuel consumption (g)0–99 kg/h-±0.02 kg/h±0.1%
Pressure sensorIn cylinder pressure (bar)0–250 bar-±1 bar±0.6%
Temperature indicator
(K-Type)
Temperature (°C)0–1200 °C-±1 °C±1%
AVL DISmoke meter0–100%-≤0.01±0.1%
Testo 350 exhaust gas analyzerCO0–50 vol%0.01 vol% ±0.3%
CO20–50 vol%0.01 vol% ±0.3
HC0–40000 ppm1 ppm±10% of reading±0.1
NOx0–3000 ppm1 ppm±5% reading < 2000 ppm±0.5%
Data acquisition systemNational instruments (6218 DAS)—Equipped with one touch
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Maroušek, J.; Maroušková, A. Economic Considerations on Nutrient Utilization in Wastewater Management. Energies 2021, 14, 3468. https://doi.org/10.3390/en14123468

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Maroušek J, Maroušková A. Economic Considerations on Nutrient Utilization in Wastewater Management. Energies. 2021; 14(12):3468. https://doi.org/10.3390/en14123468

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Maroušek, Josef, and Anna Maroušková. 2021. "Economic Considerations on Nutrient Utilization in Wastewater Management" Energies 14, no. 12: 3468. https://doi.org/10.3390/en14123468

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