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Article

Sustainability Investigation of Vehicles’ CO2 Emission in Hungary

1
Department of Mechanical Engineering, University of Debrecen, 4032 Debrecen, Hungary
2
Department of Engineering Management and Enterprise, University of Debrecen, 4032 Debrecen, Hungary
3
Department of Environmental Engineering, University of Debrecen, 4032 Debrecen, Hungary
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(15), 8237; https://doi.org/10.3390/su13158237
Submission received: 1 July 2021 / Revised: 19 July 2021 / Accepted: 20 July 2021 / Published: 23 July 2021

Abstract

:
The regulation of vehicular CO2 emissions determines the permissible emissions of vehicles in units of g CO2/km. However, these values only partially provide adequate information because they characterize only the vehicle but not the emission of the associated energy supply technology system. The energy needed for the motion of vehicles is generated in several ways by the energy industry, depending on how the vehicles are driven. These methods of energy generation consist of different series of energy source conversions, where the last technological step is the vehicle itself, and the result is the motion. In addition, sustainability characterization of vehicles cannot be determined by the vehicle’s CO2 emissions alone because it is a more complex notion. The new approach investigates the entire energy technology system associated with the generation of motion, which of course includes the vehicle. The total CO2 emissions and the resulting energy efficiency have been determined. For this, it was necessary to systematize (collect) the energy supply technology lines of the vehicles. The emission results are not given in g CO2/km but in g CO2/J, which is defined in the paper. This new method is complementary to the European Union regulative one, but it allows more complex evaluations of sustainability. The calculations were performed based on Hungarian data. Finally, using the resulting energy efficiency values, the emission results were evaluated by constructing a sustainability matrix similar to the risk matrix. If only the vehicle is investigated, low CO2 emissions can be achieved with vehicles using internal combustion engines. However, taking into consideration present technologies, in terms of sustainability, the spread of electric-only vehicles using renewable energies can result in improvement in the future. This proposal was supported by the combined analysis of the energy-specific CO2 emissions and the energy efficiency of vehicles with different power-driven systems.

1. Introduction

Due to the visible effects of global warming, there is increasing concern over the steady elevation of the levels of greenhouse gases in the atmosphere. In 2015, the monthly global average concentration of carbon dioxide (CO2) passed a long-awaited milestone (400 ppm.) [1], which was a symbolic threshold that marked a clear red line into a danger zone of climate change.
To avoid intangible threats, in the medium-to-long term, a massive reduction in GHG emissions is of utmost importance. With the Paris Agreement [2], the EU has pledged to achieve GHG emission reductions of at least 40% by 2030 compared to 1990. For this purpose, the EU has made a new energy rulebook called the “Clean energy for all Europeans package” [3], which serves as the EU’s long-term strategy for reaching carbon neutrality by 2050. Each member state must take into account the new goals; therefore, Hungary was also obliged to make an integrated National Energy and Climate Plan (NECP) that was completed in January 2020 [4].
Several studies have addressed the energy consumption, environmental impact and emission of greenhouse gases (GHGs) of vehicles. These studies can be classified according to the fact that the analysis of the environmental impact and GHG emissions is based on the examination of the given type of fuel [5,6,7,8,9] or the comparison of vehicles using different fuels, such as conventional or renewable energy-based fuel [10,11,12,13,14]. Moreover, research on similar topics often takes into account other aspects, such as driving style [6], consumer preferences related to alternative fuels [15] charging behavior [16], the type of transportation [17,18,19] and the sustainability of transport systems [20,21].
Carbon dioxide is the primary greenhouse gas, and a significant part of its emissions is vehicle related. The full evaluation and comparison of the CO2 emissions for different kinds of vehicles can be achieved by LCA (Figure 1), which is a powerful tool to estimate the entire environmental impact of a product, process or service [22,23].
However, in this article, the authors only intend to focus on a sub-area of the vehicle life cycle. The investigated scope of LCA is presented by the dashed line in Figure 1. The final energy used for the movement of a vehicle generated by the vehicle derives from a series of energy conversions. The technological process of energy conversion also produces CO2 and is directly related to the CO2 emissions of vehicles. Our approach includes the whole energy production line, wherein the last “energy transformer” is the vehicle. This method is a well-to-wheel (WTW) analysis and plays an important role in the transportation sector. WTW allows for summarizing the energy and GHG emissions derived from the production, transport and distribution of fuels and to calculate the efficiency of different powertrains [24]. WTW methods are widely used for the evaluation of specific situations and vehicle types [25,26,27]. In this paper, the specific CO2 emissions of the steps of energy production will be discussed in terms of grams of CO2 and not CO2 equivalents.
The paper is also related to the new European method known as WLTP, which entered into force in September 2017 [28], and to the current regulation of vehicles’ CO2 emissions [29,30]. These regulations ultimately determine the permissible emissions of vehicles in units of g CO2/km. However, these values do not take into account the energy industry that directly serves vehicles. Moreover, in the current regulations, neither the efficiency of the vehicles nor of the energy industry, which produces the energy needed to operate vehicles, nor the CO2 emissions of the energy industry caused by the operation of vehicles, are included. Therefore, our research focuses on filling the gap of missing complex evaluations in terms of the total energy conversion effect on the overall CO2 emissions of different vehicle types. This work evaluates and compares various vehicles based on the introduced method.

2. Methods

The energy used for motion (Em) is mostly kinetic energy (Ekin), but it also includes potential energy (Epot) due to the height differences during vehicle movement. The energy required for movement (Em) is produced in multistep processes, which are called energy conversions (Figure 2). The final step in energy conversions is the energy conversion of the car itself when it converts the electrical energy or fuels used to its motion energy.
The first objective was to determine the resulting efficiency (η) of all energy conversions for vehicles with different types of propulsion systems. The second objective was to calculate the energy-specific CO2 emissions (ε) of vehicles with distinct types of engine, which includes the total CO2 emitted during energy conversions. Finally, the third objective was to evaluate the results obtained.

Energy Conversions and Their Efficiencies

The energy industry produces secondary energy from primary energy sources, which are usually divided into three major groups. These are fossil energy sources (different raw carbon and hydrocarbon materials), non-fossil minerals (natural uranium), and renewable energy sources. Figure 3 shows the ways in which secondary energy sources are prepared from fossil fuels and how they damage the environment.
In Figure 3, energy trees and energy plants as primary energy sources are indicated as dashed lines because according to current practice, the secondary energies (bioethanol and “bioelectricity”) produced from these sources are considered clean energies. Of course, this practice can and should be argued because this type of energy production reduces the Earth’s CO2 processing and food production capacity and, at the same time, can damage the fertility of the area. However, such issues are not the subject of this paper.
The production of secondary energy from a non-fossil energy source is electricity generation by nuclear power plants. Electricity produced by nuclear power plants can be considered clean energy in terms of CO2 emissions.
The ways of generating electricity from the main types of renewable energy sources are secondary energy productions from primary energy sources. The electricity from this energy conversion can also be regarded as clean energy in terms of CO2 emissions—despite the uranium enrichment process also contributing to CO2 emissions, which can now be ignored because this contribution is negligible compared to the final energy produced.
The ways of generating electricity from the main types of renewable energy source (solar, wind, water) are secondary energy production from primary energy sources. The electricity from this energy conversion can also be regarded as clean energy in terms of CO2 emissions.
Figure 4 shows how vehicles can use secondary and tertiary energies. The following significant conclusions can be drawn from Figure 4.
  • It is evident that the direct use of electricity as a secondary energy source is only feasible with traffic on a fixed track (guided land transport). In such a case, complete CO2-free transport can also be accomplished if the electricity generated comes from a CO2-free source (renewable energy sources and nuclear power plants). Examples include rail, tram and trolleybus.
  • Fuel cells and batteries are devices that convert secondary energy (electricity) to tertiary energy (electricity). During the process, energy storage also takes place. These devices allow electric vehicles to leave the fixed track. However, electrolysis is a very energy-intensive process; therefore, its widespread application is not expected in the near future. Thus, this article does not address fuel-cell electric vehicles.
  • When hydrogen is produced from methane, it can no longer be considered clean energy in terms of carbon dioxide emissions.
  • There are only two types of power-driven methods of vehicles. Vehicles use either internal combustion engines or electric motors. The hybrid electric vehicle (HEV) is merely an intermediate solution between the two basic types. These vehicles include both driving mechanisms. Similarly, the batteries in BEVs serve to store electric current, and afterwards, the vehicle can use this energy anywhere. Storage and energy conversion lead to energy loss as well.
  • “Bioethanol” and “biodiesel” only decrease the CO2 emissions of the ICEV but, for example, the currently prescribed 10% “bioethanol” rate in gasoline has no significant effect on emissions. As a consequence, although both the low bioethanol and biodiesel contents reduce CO2 emissions, they do not entirely solve the emission problem of ICEV.

3. Results

3.1. The Efficiency of Energy Conversion

Energy conversions are always accompanied by energy losses. The extent of these losses can be expressed by efficiency (η), which is obtained by the following formula:
η = E out E in , η = energy output energy input [ ]
For a series of connected energy conversions, the overall efficiency is the multiplication of the individual efficiencies:
η total = i η i , η total = η motion
where “ηtotal” or “ηmotion” is the efficiency of the entire energy conversion, “i” is the number of energy conversions, and “ηi” is the ith step of energy conversion. This equation is similar to that of PEF (primary energy factor) [31]. However, in this case, “ηtotal” or “ηmotion” is extended with the energy efficiency of vehicles. This also includes the efficiency of the so-called “well-to-tank” and “tank-to-wheel” energy transformations.
There are currently five main energy supply pathways for vehicles:
  • Different primary energy sources → production of electricity (electrical energy mix) → electric vehicle (EV) on a fixed track.
In this case, the total energy efficiency (and CO2 emissions) depends on the energy mix. For example, the electrical energy mix in Hungary in 2019 consists of the following sources [32,33,34]:
  • NPP (Nuclear power plant)
    E NPP , output = 16.3 TWh ,   rate :   35.7 % ,   η NPP 33 %       E NPP , input = 49.4 TWh
  • TPP (Thermal Power Plant)
    E TPP , output = 3.9 TWh ,   rate :   8.5 % ,   η TPP 50 %       E TPP , input = 7.8 TWh
This efficiency (ηTPP) is valid together with heat generation. Without heat service, the efficiency of a conventional thermal power plant is approximately 32%.
  • CCGT (Combined Cycle Gas Turbine)
    E CCGT , output = 8.8 TWh ,   rate :   19.2 % ,   η CCGT 55 %       E CCGT , input = 16.0 TWh
If power plants are cogeneration power plants, the energy efficiencies are relatively high.
  • Renewables and biofuels (R&B)
    E R & B , output = 4.1 TWh ,   rate :   9.0 % ,   η R & B 100 %       E R & B , input = 9.0 TWh
The calculation of renewable energy efficiency is an interesting problem. For renewable energy sources, it is pointless to calculate energy efficiency by using the energy balance because the sources never run out. Therefore, the energy efficiency of renewable energy is considered to be 100%.
Of course, in practice, one can also define efficiency for renewable energy sources, e.g., the higher efficiency a solar panel has, the smaller the physical size required to produce the same amount of energy under the same conditions (same amount of incoming sunlight, same duration, etc.).
Otherwise, the efficiency of wind energy is approximately 26%, the efficiency of PV systems is approximately 12%, and the efficiency of biofuel thermal power plants is approximately 32%. However, these efficiencies are not relevant in our case.
  • EU import
    E import , output = 12.6 TWh ,   rate :   27.6 % ,   η import 50 %       E import , input = 25.2 TWh
  • Electrical energy mix
    E mix , output = 45.7 TWh ,   rate :   100 % ,   η mix 43 %   ( calculated )       E mix , input = 107.4 TWh
  • The magnitude of losses during electric power transmission is cc. 10% in Hungary; therefore, η transmission 90 %
Electric motors are more efficient than internal combustion engines. The efficiency of induction motors is taken into account at 90% in the current calculations, but there are also those with better efficiency [35].
η electical motor = 0.90 % η motion , EV = η electricity mix × η transmission × η electical motor
η motion , EV = 0.43 × 0.90 × 0.90 0.35
2.
Different primary energy sources → production of electricity (electrical energy mix) → Vehicle with battery and electrical motor (BEV, non-fixed track).
The energy efficiency, in this case, is as follows:
η motion , BEV = η electricity mix × η transmission × η battery × η electical motor
LIBs can achieve high energy efficiency [36,37,38], and the value of ηbattery = 90% is taken for the calculation.
η motion , BEV = 0.43 × 0.90 × 0.90 × 0.90 0.31
3.
Crude oil → refinery → diesel oil → ICEV
η motion , ICEV , D = η refinery × η ICEV , D
Since the overall petroleum refining energy efficiency is 90–92% in practice, for simplicity 91% is used as an estimation [39].
The mean thermal efficiency of conventional diesel engines is 37%, and that of diesel engines with turbocharging is 40% [40,41]. The favorable mean efficiency of 40% is used in the calculations, but it is known that, in practice, this value is already outstanding.
η motion , ICEV , D = 0.91 × 0.40 0.36
The total energy efficiency of ICEV vehicles using diesel oil is 36%.
4.
Crude oil → refinery → gasoline or autogas (LPG (Liquefied Petroleum Gas), propane 40%-butane 60%) → ICEV
η motion , ICEV , G = η refinery × η ICEV , G
η motion , ICEV , LPG = η refinery × η ICEV , LPG
The maximum thermal efficiency of common gasoline engines is 20–35% [41]. The mean efficiency used in the calculations is approximately 30%. The same value is also applied to LPG internal combustion engines.
η ICEV , G and η ICEV , LPG » 30 %
thus,
η motion , ICEV , G = 0.91 × 0.30 = 0.27 and η motion , ICEV , LPG = 0.91 × 0.30 = 0.27
are equal.
It is important to note that the amount of LPG will be reduced if the production of gasoline is reduced because it is virtually a byproduct of gasoline production.
5.
LNG and CNG are not discussed in this paper because no significant increase in LNG usage for vehicles in the world is expected, as natural gas can be more difficult to liquefy than propane and butane gases.
Similarly, the use of CNG is not advantageous because it requires a larger tank. The results are summarized in Table 1. As shown above in detail, the energy efficiency of HEVs is between the values of a BEV and an ICEV. It is worth noting that the resulting efficiencies of energy conversions are similar at present and are within a narrow range (0.27–0.36).
If the ratio of renewable energy sources increases in electricity generation, ηmotion,EV and ηmotion,BEV efficiency will also improve, and they can exceed the values of others. Keeping the current technical solutions in mind, this is the only way to improve the production efficiency of the energy that is used directly for motion.

3.2. Energy-Specific CO2 Emission Parameter

In the combustion of fossil fuels, the carbon content determines the amount of CO2 produced. The general equation of the chemical reaction is as follows:
C x H y + ( x + 0.25 y ) O 2 x C O 2 + 0.5 y H 2 O
Let us introduce a new complex indicator called “energy-specific CO2 emissions” denoted by ε and calculated by the following formula:
ε = m C O 2 E motion , ε = total mass of C O 2 produced during the energy conversions final energy of motion of vehicle [ g C O 2 M J motion ]
Table 2 shows the calculated amount of CO2 produced in each type of electric power generation, as well as the calculated values of the energy-specific CO2 emission parameters for each car type.
It is clear that electrical vehicles using exclusively renewable electricity and nuclear electricity would have zero CO2 emissions. However, the electricity used comes from several sources (Table 3); therefore, an average CO2 emission value has to be calculated (εE,HUmix) by using the Hungarian electricity combination (Table 4). It is also known that the Hungarian energy combination has significant imports. Electricity imports are the mean value of the EU electricity combination. Therefore, the composition of imports is needed (Table 3) to calculate the average CO2 parameter in Hungary (Table 4).
Table 5 shows the calculation of energy-specific CO2 emission values for internal combustion vehicles. It is noteworthy that ε of diesel oil is better than that of gasoline, and we are not considering the ground level ozone and particulate matter emissions of diesel engines. Table 5 shows that the heating values of E10 and E85 fuels are lower than the heating value of gasoline. Significant improvements in emissions can only be achieved if the share of renewable fuels is high. However, this again leads to the “food or fuel” problem, and it will be shown later that it does not improve energy efficiency. It should be noted that this work does not consider the amount of arable land needed for bioethanol production as well as the impact on food-crops production.

4. Discussion

Both indicators, the efficiency of energy conversions (ηmotion) and energy-specific CO2 emissions (ε), together characterize the types of vehicles with regard to sustainability. Table 6 summarizes the calculated parameters, and Figure 5 illustrates the energy-specific CO2 emission values of vehicles with different power-driven systems.
A sustainability matrix was constructed to facilitate the interpretation of the results (Figure 6). The matrix shows that the energy efficiency is currently very similar for all vehicles. The energy efficiency can only be improved by increasing the share of renewables in electricity generation, which would also reduce CO2 emissions in addition. The arrows show possible paths for development.

5. Conclusions

The authors think that CO2 emissions from vehicles should be related to energy directly used in motion. The relationship is shown through a new indicator called “energy-specific CO2 emissions” (ε). However, energy efficiency (η) is also included in the characterization of vehicles. By using these two indicators, it is possible to obtain more accurate information about which power-driven systems are better from the point of view of sustainability. The total CO2 emissions calculated to the final motion energy produced can be applied to a vehicle of any mass.
There are two ways to reduce the CO2 emissions of vehicles. One way is to increase the proportion of biofuels in fossil fuels (arrow 1 in Figure 6.), and the other way is to increase the share of renewables in electricity generation (arrow 2 in Figure 6).
According to the sustainability matrix and the calculations, the increase in the share of biofuels in the fuels of vehicles using internal combustion engines does not significantly change the energy efficiency of the vehicle, so this solution does not move the vehicle into a more favorable sustainability range (arrow 1 in Figure 6).
Increasing the share of renewable energy sources in electricity generation reduces CO2 emissions for various electric cars and simultaneously increases the efficiency of energy conversions. With these two effects, the electric vehicle can already reach more favorable areas of sustainability (arrow 2 in Figure 6).

Author Contributions

I.Á. was responsible for the conceptualization and methodology. He took part in the formal analysis and the visualization. J.T.K. was involved in draft preparation, visualization and supervision. G.B. took part in the review, editing and validation parts. D.K. was responsible for review and editing, visualization, supervision and project administration. All authors have read and agreed to the published version of the manuscript.

Funding

The research was supported by the Thematic Excellence Programme (TKP2020-NKA-04) of the Ministry for Innovation and Technology in Hungary.

Data Availability Statement

All data generated or analysed during this study are included in this published article.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

BEVBattery electric vehicle
CCGTCombined cycle gas turbine
ChPChemical plant
CNGCompressed natural gas
EVElectric vehicle
FCEVFuel cell electric vehicles
GHGGreenhouse gas
HEVHybrid electric vehicle
ICInternal combustion
ICEVInternal combustion engine vehicle
ICEVDInternal combustion engine vehicle operating with diesel oil
ICEVGInternal combustion engine vehicle operating with gasoline
ICEVNGInternal combustion engine vehicle operating with LNG or CNG
LCALife cycle assessment
LIBLithium-ion battery
LNGLiquefied natural gas
LPGLiquefied petroleum gas (propane and butane)
NPPNuclear power plant
PVphotovoltaic
TPPTraditional thermal power plant (solid fossil fuel/oil/gas) with a normal water-steam cycle
WLTPWorldwide Harmonised Light Vehicle Test Procedure
WTWWheel-to-wheel

References

  1. Cagle, L.E.; Tillery, D. Tweeting the Anthropocene: #400ppm as Networked Event. In Scientific Communication: Practices, Theories, and Pedagogies; Routledge: Abingdon, UK, 2017. [Google Scholar] [CrossRef] [Green Version]
  2. UNFCCC. Paris Climate Change Conference. In Proceedings of the Conference of the Parties (COP), Paris, France, 30 November–11 December 2015. [Google Scholar]
  3. European Commission. Clean Energy For All Europeans Communication. In COM(2016) 860 Final; European Commission: Luxembourg, 2016. [Google Scholar]
  4. Hungarian Ministry for Innovation and Technology. Hungary’s National Energy and Climate Plan; Hungarian Ministry for Innovation and Technology: Budapest, Hungary, 2020. [Google Scholar]
  5. Mitropoulos, L.K.; Prevedouros, P.D. Life Cycle Emissions and Cost Model for Urban Light Duty Vehicles. Transp. Res. Part D Transp. Environ. 2015, 41, 147–159. [Google Scholar] [CrossRef]
  6. Hurtig, O.; Leible, L.; Kälber, S.; Kappler, G.; Spicher, U. Alternative Fuels from Forest Residues for Passenger Cars—An Assessment under German Framework Conditions. Energy Sustain. Soc. 2014, 4, 12. [Google Scholar] [CrossRef] [Green Version]
  7. Wu, Z.; Wang, M.; Zheng, J.; Sun, X.; Zhao, M.; Wang, X. Life Cycle Greenhouse Gas Emission Reduction Potential of Battery Electric Vehicle. J. Clean. Prod. 2018, 190, 462–470. [Google Scholar] [CrossRef]
  8. Tong, F.; Jaramillo, P.; Azevedo, I.M.L. Comparison of Life Cycle Greenhouse Gases from Natural Gas Pathways for Medium and Heavy-Duty Vehicles. Environ. Sci. Technol. 2015, 49, 7123–7133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Ke, W.; Zhang, S.; He, X.; Wu, Y.; Hao, J. Well-to-Wheels Energy Consumption and Emissions of Electric Vehicles: Mid-Term Implications from Real-World Features and Air Pollution Control Progress. Appl. Energy 2017, 188, 367–377. [Google Scholar] [CrossRef]
  10. Michalek, J.J.; Chester, M.; Jaramillo, P.; Samaras, C.; Shiau, C.S.N.; Lave, L.B. Valuation of Plug-in Vehicle Life-Cycle Air Emissions and Oil Displacement Benefits. Proc. Natl. Acad. Sci. USA 2011, 108, 16554–16558. [Google Scholar] [CrossRef] [Green Version]
  11. Goedecke, M.; Therdthianwong, S.; Gheewala, S.H. Life Cycle Cost Analysis of Alternative Vehicles and Fuels in Thailand. Energy Policy 2007, 35, 3236–3246. [Google Scholar] [CrossRef]
  12. Ou, X.; Yan, X.; Zhang, X.; Liu, Z. Life-Cycle Analysis on Energy Consumption and GHG Emission Intensities of Alternative Vehicle Fuels in China. Appl. Energy 2012, 90, 218–224. [Google Scholar] [CrossRef]
  13. Lajunen, A.; Lipman, T. Lifecycle Cost Assessment and Carbon Dioxide Emissions of Diesel, Natural Gas, Hybrid Electric, Fuel Cell Hybrid and Electric Transit Buses. Energy 2016, 106, 329–342. [Google Scholar] [CrossRef]
  14. Xiong, S.; Ji, J.; Ma, X. Comparative Life Cycle Energy and GHG Emission Analysis for BEVs and PHEVs: A Case Study in China. Energies 2019, 12, 834. [Google Scholar] [CrossRef] [Green Version]
  15. Marra, A.E.; Jensen, K.L.; Clark, C.D.; English, B.C.; Toliver, D.K. Greenhouse Gas Emission Reductions as a Motivator of E85 Purchases across Market Segments. Energy. Sustain. Soc. 2012, 2, 21. [Google Scholar] [CrossRef] [Green Version]
  16. Crossin, E.; Doherty, P.J.B. The Effect of Charging Time on the Comparative Environmental Performance of Different Vehicle Types. Appl. Energy 2016, 179, 716–726. [Google Scholar] [CrossRef]
  17. Brunner, H.; Hirz, M.; Hirschberg, W.; Fallast, K. Evaluation of Various Means of Transport for Urban Areas. Energy Sustain. Soc. 2018, 8, 9. [Google Scholar] [CrossRef] [Green Version]
  18. Demir, E.; Bektaş, T.; Laporte, G. A Comparative Analysis of Several Vehicle Emission Models for Road Freight Transportation. Transp. Res. Part D Transp. Environ. 2011, 16, 347–357. [Google Scholar] [CrossRef]
  19. Salimifard, K.; Raeesi, R. A Green Routing Problem: Optimising CO2 Emissions and Costs from a Bi-Fuel Vehicle Fleet. Int. J. Adv. Oper. Manag. 2014, 6, 27. [Google Scholar] [CrossRef]
  20. Buzási, A.; Csete, M. Sustainability Indicators in Assessing Urban Transport Systems. Period. Polytech. Transp. Eng. 2015, 43, 138–145. [Google Scholar] [CrossRef] [Green Version]
  21. Buzási, A.; Csete, M. Modified Scorecard Method for Evaluating Climate Aspects of Urban Transport Systems. Period. Polytech. Soc. Manag. Sci. 2016, 24, 65–73. [Google Scholar] [CrossRef] [Green Version]
  22. Ahmadi, M.E.; Ericsson, N.; Hansson, P.-A.; Nordberg, Å. Exploring the Potential for Biomethane Production by Willow Pyrolysis Using Life Cycle Assessment Methodology. Energy. Sustain. Soc. 2019, 9, 6. [Google Scholar] [CrossRef] [Green Version]
  23. Moosmann, D.; Majer, S.; Ugarte, S.; Ladu, L.; Wurster, S.; Thrän, D. Strengths and Gaps of the EU Frameworks for the Sustainability Assessment of Bio-Based Products and Bioenergy. Energy Sustain. Soc. 2020, 10, 22. [Google Scholar] [CrossRef]
  24. Moro, A.; Lonza, L. Electricity Carbon Intensity in European Member States: Impacts on GHG Emissions of Electric Vehicles. Transp. Res. Part D Transp. Environ. 2018, 64, 5–14. [Google Scholar] [CrossRef]
  25. Ugurlu, A.; Oztuna, S. How Liquid Hydrogen Production Methods Affect Emissions in Liquid Hydrogen Powered Vehicles? Int. J. Hydrogen Energy 2020, 45, 35269–35280. [Google Scholar] [CrossRef]
  26. Wang, Q.; Xue, M.; Lin, B.-L.; Lei, Z.; Zhang, Z. Well-to-Wheel Analysis of Energy Consumption, Greenhouse Gas and Air Pollutants Emissions of Hydrogen Fuel Cell Vehicle in China. J. Clean. Prod. 2020, 275, 123061. [Google Scholar] [CrossRef]
  27. Jhang, S.-R.; Lin, Y.-C.; Chen, K.-S.; Lin, S.-L.; Batterman, S. Evaluation of Fuel Consumption, Pollutant Emissions and Well-to-Wheel GHGs Assessment from a Vehicle Operation Fueled with Bioethanol, Gasoline and Hydrogen. Energy 2020, 209, 118436. [Google Scholar] [CrossRef]
  28. European Commission. Commission Regulation (EU) 2017/1151 of 1 June 2017 Supplementing Regulation (EC) No 715/2007 of the European Parliament and of the Council on Type-Approval of Motor Vehicles with Respect to Emissions from Light Passenger and Commercial Vehicles Euro 5 A. Off. J. Eur. Union 2017. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32017R1154 (accessed on 18 March 2020).
  29. European Commission. Regulation (EU) 2019/631 of the european parliament and of the council of 17 April 2019 Setting CO2 Emission Performance Standards for New Passenger Cars and for New Light Commercial Vehicles, and Repealing Regulations (EC) No 443/2009 and (EU) No 510/201. Off. J. Eur. Union 2019. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019R0631 (accessed on 18 March 2020).
  30. European Commission. Regulation (EU) 2019/1242 of the european parliament and of the council of 20 June 2019 Setting CO2 Emission Performance Standards for New Heavy-Duty Vehicles and Amending Regulations (EC) No 595/2009 and (EU) 2018/956 of the European Parliament and of Th. Off. J. Eur. Union 2019. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019R1242&rid=3 (accessed on 18 March 2020).
  31. Tucki, K.; Orynycz, O.; Swic, A.; Mitoraj-Wojtanek, M. The Development of Electromobility in Poland and EU States as a Tool for Management of CO2 Emissions. Energies 2019, 12, 2942. [Google Scholar] [CrossRef] [Green Version]
  32. Hungarian Independent Trans-mission Operator Company Ltd. Available online: https://mavir.hu/web/mavir/home (accessed on 18 March 2020).
  33. Efficiency of Conventional Thermal Electricity and Heat Production in Europe—European Environment Agency. Available online: https://www.eea.europa.eu/data-and-maps/indicators/efficiency-of-conventional-thermal-electricity-generation-4/assessment-2 (accessed on 18 March 2020).
  34. Overview of Electricity Production and Use in Europe—European Environment Agency. Available online: https://www.eea.europa.eu/data-and-maps/indicators/overview-of-the-electricity-production-2/assessment-4 (accessed on 18 March 2020).
  35. Bhatt, P.; Mehar, H.; Sahajwani, M. Electrical Motors for Electric Vehicle—A Comparative Study. SSRN Electron. J. 2019. [Google Scholar] [CrossRef]
  36. Eftekhari, A. Energy Efficiency: A Critically Important but Neglected Factor in Battery Research. Sustain. Energy Fuels 2017, 1, 2053–2060. [Google Scholar] [CrossRef]
  37. Diao, W.; Jiang, J.; Liang, H.; Zhang, C.; Jiang, Y.; Wang, L.; Mu, B. Flexible Grouping for Enhanced Energy Utilization Efficiency in Battery Energy Storage Systems. Energies 2016, 9, 498. [Google Scholar] [CrossRef] [Green Version]
  38. Chae, H.J.; Kim, W.Y.; Yun, S.Y.; Jeong, Y.S.; Lee, J.Y.; Moon, H.T. 3.3kW on Board Charger for Electric Vehicle. In Proceedings of the 8th International Conference on Power Electronics—ECCE Asia: “Green World with Power Electronics”, ICPE 2011-ECCE Asia, Jeju, Korea, 29 May–2 June 2011; pp. 2717–2719. [Google Scholar] [CrossRef]
  39. Palou-Rivera, I.; Han, J.; Wang, M. Updates to Petroleum Refining and Upstream Emissions; Center for Transportation Research Argonne National Laboratory: Lemont, IL, USA, 2011. [Google Scholar]
  40. van Basshuysen, R.; Schäfer, F. Handbuch Verbrennungsmotor Grundlagen, Komponenten, Systeme, Perspektiven; Springer: Wiesbaden, Germany, 2017. [Google Scholar]
  41. The Japan Society of Mechanical Engineers, Thermal Efficiency of Engines; Japan, 2016; Available online: https://www.jsme.or.jp/jsme/uploads/2016/08/No-7.pdf (accessed on 18 March 2020).
  42. Raznjevic, K. Handbook of Thermodynamic Tables and Charts; Hemisphere Publishing Corp: Washington, DC, USA, 1976. [Google Scholar]
  43. Eurostat. Electricity Generation Statistics—First Results—Statistics Explained. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Electricity_generation_statistics_–_first_results (accessed on 19 March 2020).
  44. Eurostat. File: Electricity Statistics, EU-28 and EA-19, 2016-2018 (GWh).png—Statistics Explained. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=File:Electricity_Statistics,_EU-28_and_EA-19,_2016-2018_(GWh).png (accessed on 19 March 2020).
  45. Natural Resources Canada. Learn the Facts: Fuel Consumption and CO2. Available online: https://www.nrcan.gc.ca/sites/www.nrcan.gc.ca/files/oee/pdf/transportation/fuel-efficient-technologies/autosmart_factsheet_6_e.pdf (accessed on 18 March 2020).
  46. Australian Goverment Department of Sustainability, Environment, Water, Population, and Communities. Developing a B20 Fuel Quality Standard; Sydney, Australia, 2012. Available online: https://docplayer.net/28959916-Developing-a-b20-fuel-quality-standard.html (accessed on 18 March 2020).
  47. Heating Values of Hydrogen and Fuels. Available online: https://chemeng.queensu.ca/courses/CHEE332/files/ethanol_heating-values.pdf (accessed on 18 March 2020).
  48. Information Service for MPs (Infoservice). Distribution and authority supervision of LPG and its mixtures—What is LPG? (In Hungarian). Available online: https://www.parlament.hu/documents/10181/59569/Infojegyzet_2013_43_PB_gazok.pdf/e0be92ee-0d25-4b63-a75e-67ca7be09afd (accessed on 18 March 2020).
  49. EERE: Alternative Fuels Data Center Home Page. Available online: https://afdc.energy.gov/ (accessed on 18 March 2020).
  50. Geng, P.; Furey, R.; Konzack, A. Calculation of Heating Value for Gasoline. SAE Int. J. Fuels Lubr. 2010, 3, 229–237. [Google Scholar] [CrossRef]
  51. Al-Mashhadani, H.; Fernando, S. Properties, Performance, and Applications of Biofuel Blends: A Review. AIMS Energy 2017, 5, 735–767. [Google Scholar] [CrossRef]
  52. Neste. Neste Renewable Diesel Handbook; Neste Proprietary: Espoo, Finland, 2016. [Google Scholar]
  53. Zhang, H.; Xing, J.; Guo, C. Thermal Analysis of Diesel Engine Piston. J. Chem. Pharm. Res. 2013, 5, 388–393. [Google Scholar]
  54. Guo, M.; Song, W.; Buhain, J. Bioenergy and Biofuels: History, Status, and Perspective. Renew. Sustain. Energy Rev. 2015, 42, 712–725. [Google Scholar] [CrossRef]
Figure 1. Life-cycle system of vehicles’ CO2 emissions (authors’ creation).
Figure 1. Life-cycle system of vehicles’ CO2 emissions (authors’ creation).
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Figure 2. Total energy conversion system of vehicles (authors’ creation).
Figure 2. Total energy conversion system of vehicles (authors’ creation).
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Figure 3. Primary-secondary energy conversions of fossil energy sources including their environmental damage (authors’ creation).
Figure 3. Primary-secondary energy conversions of fossil energy sources including their environmental damage (authors’ creation).
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Figure 4. Different vehicles and their energy needs (authors’ creation).
Figure 4. Different vehicles and their energy needs (authors’ creation).
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Figure 5. Energy-specific CO2 emission values of vehicles with different power-driven systems (authors’ creation).
Figure 5. Energy-specific CO2 emission values of vehicles with different power-driven systems (authors’ creation).
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Figure 6. Sustainability matrix (authors’ creation).
Figure 6. Sustainability matrix (authors’ creation).
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Table 1. The estimated values of the efficiency of energy conversions in Hungary in 2019 *.
Table 1. The estimated values of the efficiency of energy conversions in Hungary in 2019 *.
ηmotion,EVηmotion,BEVηmotion,HEVηmotion,ICEV,Gηmotion,ICEV,LPGηmotion,ICEV,D
0.350.310.27–0.310.270.270.36
* Source: the calculation presented in this article.
Table 2. Calculated emissions of CO2 from electricity generation and the energy-specific CO2 emission parameter [42].
Table 2. Calculated emissions of CO2 from electricity generation and the energy-specific CO2 emission parameter [42].
Primary
Energy Sources
Heat Value [MJ/kg]Carbon Content [w/w %]kg CO2
Produced from 1 kg
Secondary
Energy
Produced [MJ/kg]
Secondary
Energy-Specific CO2 Emission [g CO2/MJ]
Lignite (raw, air-dried)19.749.61.84electricity, TPPεE,lignite = 186
9.85
Natural gas34712.60electricity, CCGTεE,CCGT = 139
18.7
Tree and energy plants14–20 ≈ 1745–47 ≈ 461.69electricity, TPPεE,t&ep = 0
8.5E,t&ep = 199)
Renewables εE,Rs = 0
NPP εE,NPP = 0
Table 3. The estimated emissions of CO2 from electricity generation in the EU in 2018 [43,44].
Table 3. The estimated emissions of CO2 from electricity generation in the EU in 2018 [43,44].
Contribution of the Sources to the Production in %EU Import Electricity in PJ(=109 MJ)Secondary Energy-Specific CO2 Emission
[g CO2/MJ]
CO2 Emission in kt (=109 g)
EU energy mix in 2018NPP≈26%11.79εE,NPP = 00
Conventional TPP≈46%20.87εE,TPP = 1863882
Rs+t&ep≈28%12.70εE,Rs+t&ep = 00
Total100%45.36εE,EUtotal = 863882
Table 4. The estimated emissions of CO2 from the electricity industry in Hungary in 2019 [32].
Table 4. The estimated emissions of CO2 from the electricity industry in Hungary in 2019 [32].
Output Electricity Produced in TWh (=109 kWh)Output Electricity Produced in PJ
(=109 MJ)
Secondary Energy-Specific CO2
Emission
[g CO2/MJ]
CO2 Emission in kt (=109 g)
HU energy mix in 2019NPP16.358.68εE,NPP = 00
TPP3.914.04εE,lignite = 1862611
CCGT8.831.68εE,CCGT = 1394404
Rs+t&ep4.114.76εE,Rs+t&ep = 00
EU import12.645.36εE,import = 863901
total45.7164.52εE,HUmix = 6610916
Table 5. The calculated energy-specific CO2 emission parameters of fossils and biofuels * [45,46,47,48,49,50,51,52,53,54].
Table 5. The calculated energy-specific CO2 emission parameters of fossils and biofuels * [45,46,47,48,49,50,51,52,53,54].
Secondary EnergyLower Heat Value [MJ/kg]Lower Heat Value [MJ/l]Density at
15 °C [kg/l]
kg CO2
Produced from 1 kg
kg CO2
Produced from 1 l
Total Energy Efficiency of Vehicle η [-]Motion Energy Specific Total CO2
Emissions
[g CO2/MJmotion]
LPG45.5–46.5(23.5) 1.82 0.35εICEV,LPG = 113
(≈46)
Gasoline43.5–46.5
(≈45)
34.7≈0.74–0.753.072.290.35εICEV,Gasoline = 195
Diesel oil42–4638.3 (35.8)0.82–0.853.09 0.36εICEV,Diesel = 195
(≈44)≈0.835
E10 10% bioethanol 90% gasoline41.3–43.9≈31.5 (31.2–32.4)0.735–0.75 2.21 × 0.90.35εICEV,E10 = 180
E85 85% bioethanol 15% gasoline29.2–33.1≈24.5≈0.78–0.79 1.61 × 0.150.35εICEV,E85 = 28
B5 5% biodiesel 95% diesel oil≈44 × 0.997≈37.80.86–0.89 2.65 × 0.950.36εICEV,B5 = 185
≈43.9≈0.86
B20 20% biodiesel 80% diesel oil≈44 × 0.961≈37.60.86–0.89 2.62 × 0.80.36εICEV,B20 = 155
≈42.3≈0.89
* The values of commercial products fluctuate and may have ± 5% uncertainty.
Table 6. The calculated energy efficiencies (η [−]) and motion energy-specific total CO2 emission parameters (ε [g CO2/MJmotion]) of vehicles.
Table 6. The calculated energy efficiencies (η [−]) and motion energy-specific total CO2 emission parameters (ε [g CO2/MJmotion]) of vehicles.
ηmotion,EVη motion,BEVηmotion,HEVηmotion,ICEV,LPGηmotion,ICEV,G
0.350.310.27–0.310.270.27
εEVεBEVεHEVεICEV,LPGεICEV,G
6775100–170113195
ηmotion,ICEV,E10ηmotion,ICEV,E85ηmotion,ICEV,Dηmotion,ICEV,B5ηmotion,ICEV,B20
0.270.270.360.360.36
εICEV,E10εICEV,E85εICEV,DεICEV,B5εICEV,B20
18028195185155
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Árpád, I.; Kiss, J.T.; Bellér, G.; Kocsis, D. Sustainability Investigation of Vehicles’ CO2 Emission in Hungary. Sustainability 2021, 13, 8237. https://doi.org/10.3390/su13158237

AMA Style

Árpád I, Kiss JT, Bellér G, Kocsis D. Sustainability Investigation of Vehicles’ CO2 Emission in Hungary. Sustainability. 2021; 13(15):8237. https://doi.org/10.3390/su13158237

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Árpád, István, Judit T. Kiss, Gábor Bellér, and Dénes Kocsis. 2021. "Sustainability Investigation of Vehicles’ CO2 Emission in Hungary" Sustainability 13, no. 15: 8237. https://doi.org/10.3390/su13158237

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