Next Article in Journal
Households Behaviour towards Sustainable Energy Management in Poland—The Homo Energeticus Concept as a New Behaviour Pattern in Sustainable Economics
Previous Article in Journal
Analysis and Control of Battery Energy Storage System Based on Hybrid Active Third-Harmonic Current Injection Converter
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations

1
Institute of Combustion Engines and Powertrains, Poznan University of Technology, 60-965 Poznan, Poland
2
Łukasiewicz Research Network—Rail Vehicles Institute “TABOR”, 61-055 Poznan, Poland
*
Author to whom correspondence should be addressed.
Energies 2021, 14(11), 3141; https://doi.org/10.3390/en14113141
Submission received: 23 March 2021 / Revised: 5 May 2021 / Accepted: 26 May 2021 / Published: 27 May 2021

Abstract

:
The paper presents the investigations of exhaust emissions under actual operation of two rail vehicles: a track geometry vehicle and a clearance vehicle. The environmental assessment of this type of objects is difficult due to the necessity of adapting the measurement equipment and meeting the safety requirements during the tests (particularly regarding the distance from the overhead electrical lines). The authors have proposed and developed a unique research methodology, based on which a detailed exhaust emissions analysis (CO, HC, NOx, and PM) was carried out. The complex assessment included the unit and on-track exhaust emissions. In the analyses, the authors also included the operating conditions of the powertrains of the tested machinery. The obtained environmental indexes were referred to the homologation standards, according to which the vehicles were approved for operation. Due to the nature of operation of the tested vehicles, the authors carried out a comprehensive environmental assessment in the daily and annual approach as well as in the aspect of their operation as combined vehicles, which is a novel approach to the assessment of the environmental performance of this type of objects.

Graphical Abstract

1. Introduction

Transport is one of the main sources of environment pollution on a global scale, the effect of which is the climate change caused by the greenhouse gases (GHG). It also has a local impact exhibited by the occurrence of smog in city agglomerations. Most of the scientists now agree that climate change is caused by greenhouse effect (GHE) that is largely influenced by the emission of CO2 [1,2,3]. According to the numerous WHO reports, the pollution level in city agglomerations is high in both developed and developing countries. According to WHO, 90% of the city population worldwide breathes air that exceeds the emission limits and the number of fatalities caused by air pollution is also high [4]. Today, transport is one of the main consumers of energy with its share amounting to almost 30% [5]. The research by European Environmental Agency indicates that transport generates 20% of the entire world emission of CO2, almost 10% PM10 and 39% NOx [6,7]. It is forecasted that by 2050 the number of vehicles worldwide will double [8]. The exhaust gas from diesel engines that is generated by, inter alia, locomotives and other rail vehicles has been classified by WHO as carcinogenic [4]. All these factors substantiate the need to continue research and development of low emission transport in terms of new systems and vehicles. Today, public transport (as opposed to individual) is perceived as one of the more promising solutions. Numerous investigations indicate that public rail transport is more advantageous environmentally and economically [9,10,11,12]. However, one should mind the negative impact of railroad transport on the environment. Majority of these works pertains to the exhaust emissions referred to the carriage of people and goods without including the cost related to the maintenance of the railroad infrastructure. The reduction of the exhaust emissions from transport is realized through a variety of methods, not only through the organization of transport but also the advancement of technologies such as hybridization, aftertreatment systems [13], or alternative fuels [14,15,16].
An important aspect in the reduction of the exhaust emissions is the measurement methodology. The engines of locomotives and other rail vehicles are tested in laboratories during the process of homologation. The tests are performed under conditions simulating actual operation. In recent years RDE (Real Driving Emissions) tests on the fuel consumption and exhaust emissions have become increasingly significant. On 1 September 2017 the European Commission included these tests to the homologation procedure for light duty vehicles (LDV). RDE tests create new exploratory and development possibilities regarding vehicle powertrains. Investigations performed during actual operation allow a full exploration of the relations among the driving parameters and the exhaust emissions that laboratory conditions cannot assure. In laboratory conditions it is impossible to reproduce all the operating parameters. Literature widely describes the problem of non-representativeness of laboratory tests carried out on specially prepared test stands [17,18,19,20,21,22,23]. The Stage V regulation includes a requirement for engine Original Equipment Manufacturers to test engines installed in machines over their normal operating duty cycles. This will be done by the use of a PEMS. So far, however, no limit values have been introduced for harmful exhaust gas compounds.
Numerous publications describe the exhaust emission and fuel consumption tests performed on LDV [24,25,26,27], HDV [19] and non-road [28,29,30] vehicles while there is a significant deficit of publications discussing investigations performed on rail vehicles under actual conditions of operation. This mainly results from the homologation legislation. These regulations do not prescribe measurements under actual operation. Still, attempts to perform tests on rail vehicles (mainly locomotives) under actual operation have been made and described but only in a limited number of papers. Attempts to measure the exhaust emissions were already made several years ago. The methods of obtaining the emissions were based on the calculations made from the data received from the railroad operators and emission standards [31]. Another method was the use of measurement data of the concentrations of the emission components obtained from mobile laboratories used on passing rail vehicles [32,33,34,35]. However, research conducted in this way provided only estimate values of the exhaust emissions. Full exploratory potential appeared with the introduction of the PEMS equipment (Portable Emissions Measurement System). One can still see a deficit in literature describing the direct measurements performed on rail vehicles, especially track maintenance vehicles, in their actual operation, hence the observation that this type of research is still in its initial phase of development. There are a few publications discussing the measurements with the use of PEMS equipment for locomotives and passenger trains, as presented in the article. However, it should be emphasized that there are no publications describing the use of PEMS equipment for emission measurements for machines performing track works. This is also evidenced by the lack of developed measurement procedures. There are no developed, generally accepted, and used procedures for measuring emissions of harmful exhaust gas compounds with the use of PEMS equipment for railway vehicles. Currently, such procedures only exist for road vehicles. The application of the PEMS equipment and the development of the research methodology have been described in [36,37,38]. Initially, the PEMS equipment was used in dynamometer measurements and stationary rail yard measurements for different settings (notch) [38,39,40]. The cited publications are to be treated as an introduction and preparation to the PEMS investigations under actual operation of track maintenance vehicles. When analyzing the publications describing the investigations of exhaust emissions one can observe a significant diversity in terms of the test routes, applied equipment, and obviously, results. This is most likely the effect of lack of standardization of the research procedures for the discussed group of vehicles. It is, therefore, fully justified to publish the results of such investigations that are a contribution to the development of the said research procedures. The most popular research objects in testing under actual operating conditions are locomotive engines—Prime Mover Engine [40,41,42,43]. Kim et al. [43] investigated the exhaust emissions from a locomotive and compared the obtained results with the applicable limits. The analysis also covered the relations between the engine operating parameters and the exhaust emissions. The per-passenger-km emissions were analyzed in [42]. They attempted similar investigations with road vehicles and the obtained results once more confirmed the positive environmental impact of the rail transport compared to individual one. Graver et al. [41] investigated the benefits of the application of biofuels in locomotives in actual operating conditions. Graver and Frey [41] described the exhaust emission results from six locomotives of different emission standards (Tier 0+ and Tier 1+). The results were also compared with the emissions from road vehicles.
The above-mentioned research examples related to the vehicles are practically all the existing ones when it comes to the emission testing of rail vehicles with the PEMS equipment. These few examples do not cover all the problems related to the exhaust emissions and measurement methods when it comes to rail vehicles. As mentioned above, majority of the measurements pertains to locomotives used in the carriage of passengers and cargo. There are no publications describing the measurements performed on other rail vehicles under actual conditions of operation, which is why any new experience and observations are invaluable in this matter. We should aim at introducing the RDE tests in the homologation procedures of rail vehicles in the future, similarly to LDV and HDV ones. Such attempts should also be naturally assumed. In this paper, the authors describe the investigations of exhaust emissions from special rail vehicles (track maintenance machinery) performed under actual operating conditions. The paper focuses on this group of vehicles because of their regular periodic use in track maintenance in order to assure its good technical condition and safe operation. Recently, in Poland rail infrastructure modernization works have been underway. The track works, whose total length amounts to 19,000 km are serviced by machines and rail vehicles. In Poland the population of this type of machinery amounts to over 1600 special vehicles. According to the data of the Polish Rail Transport Office, the structure of traction vehicles in relation to locomotives in the country is as follows: electric passenger locomotives—313, diesel passenger locomotives—108, electric freight locomotives—1509, diesel freight locomotives—2146 [44]. The dates of manufacture of these machines reach 1961, i.e., decades before emission limits were introduced [45]. It should be stressed that the promotion of mass transport in Europe and worldwide owing to its ecological benefits is tightly related with the intensification of the track use, which automatically forces an increasing use of maintenance machinery and equipment.

2. Materials and Methods

The authors performed the emission tests of: CO2, CO, HC, NOx, and PM [46,47,48,49,50] for two rail vehicles. The first one is a machine used to monitor the tracks, inspect the rails, test their geometry, and measure their profiles. The other vehicle is a clearance vehicle used to check the clearances around the track with a laser profilometer or a photogrammetric system. The maintenance of the rail track in the state of full operativeness requires performing ongoing maintenance, planning and carrying out repairs. The basic technical specifications of the tested vehicles and their engines have been presented in Table 1 and their view in Figure 1.
For the measurements, the authors used the PEMS equipment [51,52,53,54,55,56] designed to perform measurements under actual conditions of operations (AxionR/S+). The equipment can measure the gaseous exhaust components: CO2, CO, NOx, HC and the mass emission of particulate matter (PM). In order to determine the emission of CO2, CO, and HC a non-dispersive infrared sensor (NDIR) is used and to determine the emission of NOx an electrochemical analyzer is applied. For the measurement of PM, the Laser Scatter method is applied. Table 2 presents the basic technical specifications of the AxionR/S+ measurement equipment.
The measurements of the exhaust emissions were carried out when the machines were in operation. The works were carried out on two portions of the track of different lengths (Figure 2). Table 3 presents the parameters during the tests on the rail tracks. The tests were carried out on various routes due to the possibility of conducting research works and making the facilities available by owners/operators. Obtaining permits for this type of research is difficult and depends on many factors. Both of the presented rail vehicles are used on selected test routes.

3. Analysis of the Results

The aim of the performed tests is to present the total emission and environmental load during the actual operation of the research facilities. The instantaneous emission rate is correlated with the vehicle speed that, in turn, is correlated with the engine load. All the instantaneous emission rate curves of all individual exhaust components were characterized by the highest values during the initial stages of the test and at the moments of deceleration (Figure 3).
The distributions of the emission rate are tightly related and inversely proportional to the curves of the vehicle speed. Vehicle I had higher fuel consumption (38,954 g) and generated higher emissions—CO2 (123,219 g), CO (130 g), HC (19.4 g), NOx (734 g) and had a lower value of PM (4.25 g). In relation to the covered distance, this vehicle had a better environmental performance. Vehicle II, on average had 25% lower values of the accumulated fuel consumption (28,140 g) and accumulated exhaust emissions (CO2—89,000 g, CO—122.4 g, HC—15.5 g, NOx—524 g), which resulted from the 50% shorter test distance. The vehicle also had a 65% higher emission of PM (7.34 g). The vehicle had worse environmental performance. The analysis of the results did not include information about the condition of the engine during the measurements, because it was hot. This means that the temperature of the coolant was stabilized—variable start was not taken into account.
The analysis of the test results was supplemented with the analysis of the unit exhaust emissions (Figure 4a). The engines work was calculated on the basis of parameters such as rotational speed and load. In the clearance vehicle, they were recorded using Axion R/S + measuring equipment with a number of appropriate sensors, while in the case of the second research object—track geometry vehicle, on-board diagnostics (OBD) system was used, from which the desired engine operating parameters were read.
The unit emission of CO during the test of the clearance vehicle was higher than that of the track geometry vehicle and amounted to 1.59 g/kWh (twice as high). It is noteworthy that, for both vehicles, the emission of CO was lower than the admissible one (Stage II and Stage IIIB). Moreover, the emission of hydrocarbons was higher for the clearance vehicle. It amounted to 0.20 g/kWh and for the track geometry vehicle: 0.12 g/kWh. Similarly to the above-described on-track emission, the difference is also smaller compared to the emission of CO. The emission of NOx for the tested vehicles was 6.82 g/kWh and 4.49 g/kWh and in both cases these values are higher than the maximum admissible ones. Besides, one should note that for the diagnostic machine, the emission of NOx exceeded over two times in relation to the Stage IIIB limit. For the diagnostic machine, also the emission of PM under actual condition of operation is higher than the Stage IIIB limit. It was three times lower than the PM emission of the second vehicle, but for this engine the Stage II limit applies. Based on the obtained results, it was confirmed that the engine of the diagnostic machine (newer generation Stage IIIB engine) under actual operating conditions has a higher emission of both NOx and PM. This observation is somewhat disturbing. The emission of NOx and PM are the two key exhaust components when it comes to diesel engines and reducing their emission is the most difficult task. Obviously, formulating unambiguous conclusions based on two tested objects is clearly unfounded but spurs on to continue research in this matter.
The differences between the actual operating results and the limits of the exhaust emission standards are most likely results from the different engine-operating parameters (actual operation and in laboratory tests), which confirms the non-representativeness of these tests. This conclusion is in line with the conclusions of other researchers for other categories of vehicles and engine. Besides, this conclusion should be treated as a supplement to the current state-of-knowledge as, to date, track maintenance machines have not been investigated under their actual operating conditions. Scientific literature does not indicate such cases.
In order to complete the emission analysis (Figure 4b), the obtained unit emission factors of pollutants were compared to the type-approval standards in which the tested vehicles were allowed to operate. For this they used the CF (conformity factor) [56,57,58,59,60] from the entire test, according to the formula:
CF j = E RDE , j E norm , j
where:
  • j—the harmful compound for which the conformity factor was specified,
  • ERDE,j—road emission obtained under real driving conditions ([g/kWh])
  • Enorm,j—value of emission limit in the applicable emission standard ([g/kWh])
The developed CF coefficients were calculated for individual research objects in terms of their approval standards, respectively: object I—Stage IIIB; object II—Stage II. For the older type approval standard, the emission limits for individual toxic compounds were much higher. As demonstrated on the basis of the analysis carried out using CF, the emission of pollutants exceeded for the first research object in the scope of NOx and PM (by 24% and 4%, respectively). For the second research object, the NOx emission was exceeded only by 14%. However, it should be noted that the conditions of approval tests (engine tests) were different from the conditions of actual operation.
Further investigations covered the analysis of the on-track emissions in relation to the annual distance covered by the vehicle (Figure 5). Assuming that a diagnostic vehicle can inspect 400 km of tracks per day, it translates into 40,000 km per annum [61].
The clearance vehicle, given its lower maximum speed and operating characteristics, covers its annual distance that is four times shorter (10,000 km), which is why its annual emissions are lower. Based on the performed investigations, it was observed that the highest emission is the emission of NOx and amounts to 397 kg per annum for the diagnostic vehicle. The second vehicle has an almost three times lower emission of this component. The annual emission of CO is 89 kg per annum for the diagnostic vehicle and 33 kg per annum for the clearance vehicle. The emission of HC is 11 kg per annum and 4.2 kg per annum for the two vehicles respectively and the emission of PM is 1.98 kg per annum and 2.61 kg per annum for the two vehicles respectively.
Based on the measurements and recorded test drive parameters of the investigated vehicles, the on-track exhaust emissions were determined (Figure 6a). For the on-track emissions, the greatest differences (order of magnitude) were observed for PM.
The lower emission of this component had the clearance vehicle, which is most likely owing to the higher emission category of this vehicle (Euro IV). This engine was fitted with a diesel particulate filter. A significant difference (almost four times) was recorded for the emission of CO, but in this case it was lower for the diagnostic vehicle meeting the Euro III emission standard. Analogically, also the emission of HC was higher for this engine but the difference was not as high and amounted to approx. 20%. Both engines were fitted with oxidation catalysts and the higher emission of CO and HC for the clearance vehicle probably results from the operating conditions of the engines and the operation of the catalytic converters. The on-track emissions obtained in combined operation were referred to predefined work cycles of 100 km for each of the vehicles (Figure 6b). This reference value was adopted because it corresponds on average to one day operation of the described research objects on railway lines. The obtained values were—554 g/cycle carbon monoxide, 68 g/cycle hydrocarbons, 2408 g/cycle nitrogen oxides, and 26.4 g/cycle particulate matter. The clearance vehicle, on average, generated 64% of the relative emission of individual exhaust components. The greatest difference was obtained for particulate matter, for which vehicle II generated 75.2% (19.8 g/cycle) of the accumulated PM value for the entire measurement cycle. For the outstanding exhaust components these values were—CO—60% (331 g/cycle), HC—62% (42 g/cycle), and NOx—58.8% (1417 g/cycle).

4. Conclusions

The conclusion that arises from the results of the investigations are the significant divergences in the emissions of individual exhaust components compared to the admissible values prescribed in Stage II and IIB of the investigated engines [17,19,20,21,22,23,43]. These results were confirmed by the determined CF coefficient, which showed the relative differences through its structure. It is noteworthy that the newer generation engine under actual operating conditions significantly exceeded the emission values of NOx and PM compared to the homologation limits. Such a clear trend was not observed for the older generation engine meeting the Stage II standard. The engine of this vehicle was in a good technical condition, and its emission results were compared to the standard, which has significantly lower limits than were required for object I, which takes into account the conformity factor. However, as regards the above, for the conclusions to become unambiguous, one needs to reinforce them with further research of engines of different emission categories, including the latest ones.
The described investigations and results substantiate the necessity of further advancement of the methods of testing rail vehicles and machinery under actual conditions of operation using the PEMS equipment. The current conviction that this type of investigations is the best method of determination of the exhaust emissions is commonplace and appears to be indisputable. Scientists should aim at making this method a generally accepted one for the discussed group of vehicles, similarly to the road vehicles. In the future, such tests should be included in the homologation procedures of rail vehicles. When analyzing the current achievements in this matter, one can state that the said methods are still in their initial phase of development, which is confirmed by the limited number of relevant publications.
When referring to the obtained results, one can state that all the distributions of the emission rate curves are tightly related and inversely proportional to the curves of the vehicle speed. The presented characteristics of unit emissions indicate that a lower emission of all exhaust components was obtained for the diagnostic vehicle. Vehicle I was fitted with a DOC catalytic converter (Diesel Oxidation Catalyst) that influenced the obtained emission of CO and HC. When testing vehicle II, a higher unit emission of NOx was obtained on the level of 6.82 g/kWh. The vehicles operated at a higher average load, which resulted in an increased temperature and pressure inside the cylinder and directly influenced the emission of nitrogen oxides. In relation to the unit emission of particulate matter, vehicle I was fitted with a diesel particulate filter (DPF) and had the emission value of 0.03 g/kWh. For vehicle II, the PM value was 0.09 g/kWh. The deterioration of the PM emission values is influenced by the engine variable operating conditions, which leads to an increase in the local share of incomplete and non-full combustion inside the engine cylinders.

Author Contributions

Conceptualization, M.K. and P.L.; methodology, M.K., N.S., Ł.R. and P.D.; formal analysis, M.K. and P.L.; investigation, M.K. and N.S.; resources, P.L. and Ł.R.; data curation, M.K.; writing—original draft preparation, M.K., Ł.R. and P.L.; writing—review and editing, P.L. and N.S.; visualization, P.D.; supervision, Ł.R. and P.L.; project administration, Ł.R. and R.G.; funding acquisition, R.G.; All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by European Union from European Regional Development Fund through the National Centre for Research and Development (Narodowe Centrum Badań i Rozwoju)—research project within the Smart Growth Programme (contract No. POIR.04.01.02-00-0002/18).
Energies 14 03141 i001

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Houghton, J. Global Warming: The Complete Briefing; Cambridge University Press: Cambridge, UK, 2009. [Google Scholar] [CrossRef]
  2. Mamalis, A.G.; Spentzas, K.N.; Mamali, A.A. The impact of automotive industry and its supply chain to climate change: Somme techno-economic aspects. Eur. Transp. Res. Rev. 2013, 5, 1–10. [Google Scholar] [CrossRef] [Green Version]
  3. Räisänen, J.; Hansson, U.; Ullerstig, A.; Döscher, R.; Graham, L.P.; Jones, C.; Meier, H.E.; Samuelsson, P.; Willén, U. European climate in the late twenty-first century: Regional simulations with two driving global models and two forcing scenarios. Clim. Dyn. 2004, 22, 13–31. [Google Scholar] [CrossRef]
  4. World Health Organization Website. Available online: http://www.who.com (accessed on 22 March 2021).
  5. World Energy Council. World Energy Resources; World Energy Council: London, UK, 2016. [Google Scholar]
  6. European Environment Agency. European Union Emission Inventory Report 1990–2016; Publications Office of the European Union: Luxembourg, 2018. [Google Scholar] [CrossRef]
  7. European Environment Agency. Greenhouse Gas Emissions from Transport in Europe; European Environment Agency: Copenhagen, Denmark, 2019.
  8. Hao, H.; Geng, Y.; Sarkis, J. Carbon footprint of global passenger cars: Scenarios through 2050. Energy 2016, 101, 121–131. [Google Scholar] [CrossRef]
  9. Delucchi, M. Emissions of Criteria Pollutants, Toxic Air Pollutants, and Greenhouse Gases, from the Use of Alternative Transportation Modes and Fuels; University of California Transportation Center: Berkeley, CA, USA, 1996. [Google Scholar]
  10. Kim, N.S.; Van Wee, B. Assessment of CO2 emissions for truck-only and rail-based intermodal freight systems in Europe. Transp. Plan. Technol. 2009, 32, 313–333. [Google Scholar] [CrossRef]
  11. Matei, M.C.; Nes, C.S. Extensive use of the railway system-an efficient way of reducing CO2 emissions in the transportation sector. J. Environ. Prot. Ecol. 2012, 13, 844–851. [Google Scholar]
  12. Givoni, M.; Brand, C.; Watkiss, P. Are railways climate friendly? Built Environ. 2009, 35, 70–86. [Google Scholar] [CrossRef]
  13. Casadei, S.; Maggioni, A. Performance Testing of a Locomotive Engine Aftertreatment Pre-prototype in a Passenger Cars Chassis Dynamometer Laboratory. Transp. Res. Procedia 2016, 14, 605–614. [Google Scholar] [CrossRef] [Green Version]
  14. Graver, B.M.; Frey, H.C.; Hu, J. Effect of biodiesel fuels on real-world emissions of passenger locomotives. Environ. Sci. Technol. 2016, 50, 12030–12039. [Google Scholar] [CrossRef]
  15. Lebedevas, S.; Pukalskas, S.; Žaglinskis, J.; Matijošius, J. Comparative investigations into energetic and ecological parameters of camelina-based biofuel used in the 1Z diesel engine. Transport 2012, 27, 171–177. [Google Scholar] [CrossRef] [Green Version]
  16. Rimkus, A.; Žaglinskis, J.; Stravinskas, S.; Rapalis, P.; Matijošius, J.; Bereczky, Á. Research on the combustion, energy and emission parameters of various concentration blends of hydrotreated vegetable oil biofuel and diesel fuel in a compression-ignition engine. Energies 2019, 12, 2978. [Google Scholar] [CrossRef] [Green Version]
  17. Khan, T.; Frey, H.C. Comparison of real-world and certification emission rates for light duty gasoline vehicles. Sci. Total Environ. 2018, 622, 790–800. [Google Scholar] [CrossRef]
  18. Pathak, S.K.; Sood, V.; Singh, Y.; Channiwala, S.A. Real world vehicle emissions: Their correlation with driving parameters. Transp. Res. Part D Transp. Environ. 2016, 44, 157–176. [Google Scholar] [CrossRef]
  19. Merkisz, J.; Pielecha, J.; Bielaczyc, P.; Woodburn, J. Analysis of emission factors in RDE tests as well as in NEDC and WLTC chassis dynamometer tests. In SAE Technical Papers; SAE Technical Paper No. 2016-01-0980; SAE International: Pittsburgh, PA, USA, 2016. [Google Scholar] [CrossRef]
  20. O’Driscoll, R.; Stettler, M.E.; Molden, N.; Oxley, T.; ApSimon, H.M. Real world CO2 and NOx emissions from 149 Euro 5 and 6 diesel, gasoline and hybrid passenger cars. Sci. Total Environ. 2018, 621, 282–290. [Google Scholar] [CrossRef]
  21. Schroeder, F.; Breuer, B.; Preiss, H.; Weidhaas, G. Motorcycle noise and exhaust emissions-statutory testing methods versus real traffic situations. In Proceedings of the 1999 SAE Small Engine Technology Conference-P-348, Madison, WI, USA, 28–30 September 1999. SAE Technical Paper No. 1999-01-3255. [Google Scholar] [CrossRef]
  22. Thomas, D.; Li, H.; Wang, X.; Song, B.; Ge, Y.; Yu, W.; Ropkins, K. Comparison of Tailpipe Gaseous Emissions for RDE and WLTC Using SI Passenger Cars. In Proceedings of the SAE Powertrain Fuels and Lubricants Meeting, Beijing, China, 30 October 2017. SAE Technical Paper No. 2017-01–2391. [Google Scholar] [CrossRef]
  23. Tsai, J.H.; Chiang, H.L.; Hsu, Y.C.; Peng, B.J.; Hung, R.F. Development of a local real world driving cycle for motorcycles for emission factor measurements. Atmos. Environ. 2005, 39, 6631–6641. [Google Scholar] [CrossRef]
  24. Wang, Z.; Wu, Y.; Zhou, Y.; Li, Z.; Wang, Y.; Zhang, S.; Hao, J. Real-world emissions of gasoline passenger cars in Macao and their correlation with driving conditions. Int. J. Environ. Sci. Technol. 2014, 11, 1135–1146. [Google Scholar] [CrossRef] [Green Version]
  25. Yao, Z.; Wu, B.; Wu, Y.; Cao, X.; Jiang, X. Comparison of NOx emissions from China III and China IV in-use diesel trucks based on on-road measurements. Atmos. Environ. 2015, 123, 1–8. [Google Scholar] [CrossRef]
  26. Al-Samari, A. Study of emissions and fuel economy for parallel hybrid versus conventional vehicles on real world and standard driving cycles. Alex. Eng. J. 2017, 56, 721–726. [Google Scholar] [CrossRef]
  27. Zhou, B.; Zhang, S.; Wu, Y.; Ke, W.; He, X.; Hao, J. Energy-saving benefits from plug-in hybrid electric vehicles: Perspectives based on real-world measurements. Mitig. Adapt. Strateg. Glob. Chang. 2018, 23, 735–756. [Google Scholar] [CrossRef]
  28. Lijewski, P.; Merkisz, J.; Fuć, P. Research of exhaust emissions from a harvester diesel engine with the use of portable emission measurement system. Croat. J. For. Eng. J. Theory Appl. For. Eng. 2013, 34, 113–122. [Google Scholar]
  29. Lijewski, P.; Merkisz, J.; Fuć, P.; Ziółkowski, A.; Rymaniak, Ł.; Kusiak, W. Fuel consumption and exhaust emissions in the process of mechanized timber extraction and transport. Eur. J. For. Res. 2017, 136, 153–160. [Google Scholar] [CrossRef] [Green Version]
  30. Peng, Z.; Ge, Y.; Tan, J.; Fu, M.; Wang, X.; Chen, M.; Lu, Y.; Wu, Y. Real-world emission from in-use construction equipment in China. Aerosol Air Qual. Res. 2016, 16, 1893–1902. [Google Scholar] [CrossRef] [Green Version]
  31. Bergin, M.S.; Harrell, M.; Janssen, M. Locomotive emission inventories for the United States from ERTAC Rail. In Proceedings of the Annual International Emission Inventory Conference, Tampa, FL, USA, 13 August 2012; pp. 13–16. [Google Scholar]
  32. Tang, N.W.; Apte, J.S.; Martien, P.T.; Kirchstetter, T.W. Measurement of black carbon emissions from in-use diesel-electric passenger locomotives. California. Atmos. Environ. 2015, 115, 295–303. [Google Scholar] [CrossRef]
  33. Johnson, G.R.; Jayaratne, E.R.; Lau, J.; Thomas, V.; Juwono, A.M.; Kitchen, B.; Morawska, L. Remote measurement of diesel locomotive emission factors and particle size distributions. Atmos. Environ. 2013, 81, 148–157. [Google Scholar] [CrossRef] [Green Version]
  34. Krasowsky, T.; Daher, N.; Sioutas, C.; Ban-Weiss, G. Measurement of particulate matter emissions from in-use locomotives. Atmos. Environ. 2015, 113, 187–196. [Google Scholar] [CrossRef]
  35. Sawant, A.A.; Nigam, A.; Miller, J.W.; Johnson, K.C.; Cocker, D.R. Regulated and non-regulated emissions from in-use diesel-electric switching locomotives. Environ. Sci. Technol. 2007, 41, 6074–6083. [Google Scholar] [CrossRef] [PubMed]
  36. Frey, H.C.; Choi, H.W.; Kim, K. Measurement of the energy use and emissions of passenger rail locomotives using a portable emission measurement system. In Proceedings of the 102nd Annual Conference and Exhibition Air and Waste Management Association, Detroit, MI, USA, 16–19 June 2009. [Google Scholar]
  37. Frey, H.C.; Choi, H.W.; Kim, K. Portable emission measurement system for emissions of passenger rail locomotives. Transp. Res. Rec. 2012, 2289, 56–63. [Google Scholar] [CrossRef]
  38. Brabb, D.C.; Vithani, A.R.; Punwani, S.K. Onboard Locomotive Exhaust Emissions Measurement. In Proceedings of the ASME Rail Transportation Division Fall Technical Conference, Chicago, IL, USA, 11–12 September 2007; Volume 48000, pp. 69–75. [Google Scholar]
  39. Graver, B.M.; Frey, H.C. Comparison of locomotive emissions measured during dynamometer versus rail yard engine load tests. Transp. Res. Rec. 2013, 2341, 23–33. [Google Scholar] [CrossRef]
  40. Graver, B.M.; Frey, H.C. Comparison of over-the-rail and rail yard measurements of diesel locomotives. Environ. Sci. Technol. 2015, 49, 13031–13039. [Google Scholar] [CrossRef] [PubMed]
  41. Graver, B.M.; Frey, H.C. Highway vehicle emissions avoided by diesel passenger rail service based on real-world data. Urban Rail Transit 2016, 2, 153–171. [Google Scholar] [CrossRef] [Green Version]
  42. Vojtisek-Lom, M.; Jirků, J.; Pechout, M. Real-World Exhaust Emissions of Diesel Locomotives and Motorized Railcars during Scheduled Passenger Train Runs on Czech Railroads. Atmosphere 2020, 11, 582. [Google Scholar] [CrossRef]
  43. Kim, M.K.; Park, D.; Kim, M.; Heo, J.; Park, S.; Chong, H. A study on characteristic emission factors of exhaust gas from diesel locomotives. International. J. Environ. Res. Public Health 2020, 17, 3788. [Google Scholar] [CrossRef]
  44. Report on the Functioning of the Rail Transport Market in 2019 r; Office of Technical Inspection Report; Polish Office of Rail Transport: Warsaw, Poland, 2019.
  45. Fuc, P.; Lijewski, P.; Ziolkowski, A.; Dobrzynski, M. Development of a method of calculation of energy balance in exhaust systems in terms of energy recovery. In Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition, Tampa, FL, USA, 3–9 November 2017; Volume 8, p. V008T10A047. [Google Scholar]
  46. Lijewski, P.; Merkisz, J.; Fuc, P. The analysis of the operating conditions of farm machinery engines in regard to exhaust emissions legislation. Appl. Eng. Agric. 2013, 29, 445–452. [Google Scholar]
  47. Merkisz, J.; Fuć, P.; Lijewski, P. Reduction of NOx emission from diesel engines by the application of ceramic oxygen conductors. In Urban Transport and the Environment in the 21st Century; WIT Press: Boston, MA, USA, 2008; pp. 355–367. [Google Scholar]
  48. Tkaczyk, M.; Sroka, Z.J.; Krakowian, K.; Wlostowski, R. Experimental Study of the Effect of Fuel Catalytic Additive on Specific Fuel Consumption and Exhaust Emissions in Diesel Engine. Energies 2021, 14, 54. [Google Scholar] [CrossRef]
  49. Gis, W.; Pielecha, J.; Waśkiewicz, J.; Gis, M.; Menes, M. Use of certain alternative fuels in road transport in Poland. Iop Conf. Ser. Mater. Sci. Eng. 2016, 148, 012040. [Google Scholar] [CrossRef] [Green Version]
  50. Warguła, Ł.; Kukla, M.; Lijewski, P.; Dobrzyński, M.; Markiewicz, F. Impact of Compressed Natural Gas (CNG) Fuel Systems in Small Engine Wood Chippers on Exhaust Emissions and Fuel Consumption. Energies 2020, 13, 6709. [Google Scholar] [CrossRef]
  51. Szymlet, N.; Lijewski, P.; Kurc, B. Road Tests of a Two-Wheeled Vehicle with the Use of Various Urban Road Infrastructure Solutions. J. Ecol. Eng. 2020, 21, 152–159. [Google Scholar] [CrossRef]
  52. Rymaniak, Ł.; Lijewski, P.; Kamińska, M.; Fuć, P.; Kurc, B.; Siedlecki, M.; Kalociński, T.; Jagielski, A. The role of real power output from farm tractor engines in determining their environmental performance in actual operating conditions. Comput. Electron. Agric. 2020, 173, 105405. [Google Scholar] [CrossRef]
  53. Merkisz, J.; Gallas, D.; Siedlecki, M.; Szymlet, N.; Sokolnicka, B. Exhaust emissions of an LPG powered vehicle in real operating conditions. In Proceedings of the E3s Web Conference, 11th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2019, Polanica Zdrój, Poland, 8–10 April 2019; Volume 100, p. 00053. [Google Scholar] [CrossRef] [Green Version]
  54. Merkisz, J.; Lijewski, P.; Fuc, P.; Siedlecki, M.; Weymann, S. The use of the PEMS equipment for the assessment of farm fieldwork energy consumption. Appl. Eng. Agric. 2015, 31, 875–879. [Google Scholar]
  55. Lijewski, P.; Fuc, P.; Dobrzynski, M.; Markiewicz, F. Exhaust emissions from small engines in handheld devices. In Proceedings of the Matec Web Conference, VII International Congress on Combustion Engines, Poznan, Poland, 27–29 June 2017; Volume 118, p. 00016. [Google Scholar] [CrossRef] [Green Version]
  56. Giechaskiel, B. Solid particle number emission factors of Euro VI heavy-duty vehicles on the road and in the laboratory. Int. J. Environ. Res. Public Health 2018, 15, 304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Merkisz, J.; Bielaczyc, P.; Pielecha, J.; Woodburn, J. RDE testing of passenger cars: The effect of the cold start on the emissions results. In SAE Technical Papers; SAE International: Pittsburgh, PA, USA, 2019. [Google Scholar] [CrossRef]
  58. Ntziachristos, L.; Galassi, C. Emission Factors for New and Upcoming Technologies in Road Transport; EU Report EUR 26952; Institute of Energy and Transport: Ispra, Italy, 2014. [Google Scholar]
  59. Triantafyllopoulos, G.; Katsaounis, D.; Karamitros, D.; Ntziachristos, L.; Samaras, Z. Experimental assessment of the potential to decrease diesel NOx emissions beyond minimum requirements for Euro 6 Real Drive Emissions (RDE) compliance. Sci. Total Environ. 2018, 618, 1400–1407. [Google Scholar] [CrossRef] [PubMed]
  60. Valverde, V.; Giechaskiel, B.; Carriero, M. Real Driving Emissions: 2018–2019 Assessment of Portable Emissions Measurement Systems (PEMS) Measurement Uncertainty; Publications Office of the European Union: Luxembourg, 2020. [Google Scholar]
  61. Information Site. Available online: http://www.geoforum.pl (accessed on 15 July 2020).
Figure 1. Tested objects: I–track geometry vehicle, II—clearance vehicle.
Figure 1. Tested objects: I–track geometry vehicle, II—clearance vehicle.
Energies 14 03141 g001
Figure 2. Test routes, I—track geometry vehicle, II—clearance vehicle.
Figure 2. Test routes, I—track geometry vehicle, II—clearance vehicle.
Energies 14 03141 g002
Figure 3. Tracing of the vehicle speed and the instantaneous on-track emission rate under actual conditions of operation: (a) track geometry vehicle, (b) clearance vehicle.
Figure 3. Tracing of the vehicle speed and the instantaneous on-track emission rate under actual conditions of operation: (a) track geometry vehicle, (b) clearance vehicle.
Energies 14 03141 g003
Figure 4. (a) Unit emissions of the investigated vehicles, (b) coefficients conformity factor for regulated emissions, I—track geometry vehicle, II—clearance vehicle.
Figure 4. (a) Unit emissions of the investigated vehicles, (b) coefficients conformity factor for regulated emissions, I—track geometry vehicle, II—clearance vehicle.
Energies 14 03141 g004
Figure 5. Annual on-track exhaust emissions, I—Track geometry vehicle, II—Clearance vehicle.
Figure 5. Annual on-track exhaust emissions, I—Track geometry vehicle, II—Clearance vehicle.
Energies 14 03141 g005
Figure 6. Exhaust emissions: (a) on-track emissions (b) emissions per work cycle, I—track geometry vehicle, II—clearance vehicle.
Figure 6. Exhaust emissions: (a) on-track emissions (b) emissions per work cycle, I—track geometry vehicle, II—clearance vehicle.
Energies 14 03141 g006
Table 1. Technical specifications of the tested objects.
Table 1. Technical specifications of the tested objects.
ParameterTrack Geometry VehicleClearance Vehicle
Type of enginedieseldiesel
Number of cylinders and valves per cylinder12
4
6
2
Cylinder capacity32.1 dm37.15 dm3
Diameter per stroke144 mm × 162 mm108 mm × 130 mm
Maximum power
at engine speed
950 kW
1800 rpm
141 kW
2300 rpm
Maximum torque
at engine speed
5345 Nm
1350 rpm
702 Nm
1400 rpm
Emission standardStage IIIBStage II
Vehicle weight40 t36.1 t
Maximum speed140 km/h90 km/h
Aspirationturbochargerturbocharger
Injection systemdirectdirect
Injector typeElectronic Unit Injector (EUI)Unit Injector (UI)
Table 2. Technical specifications of the PEMS Axion R/S+ equipment.
Table 2. Technical specifications of the PEMS Axion R/S+ equipment.
Exhaust ComponentMeasurement RangeRelative Measurement AccuracyDistributionMethod of Measurement
HC0–4000 ppm±3%1 ppmNDIR
CO0–10%±3%0.01 vol.%NDIR
CO20–16%±4%0.01 vol.%NDIR
NO0–4000 ppm±3%1 ppmE-chem
O20–25%±3%0.01 vol.%E-chem
PM0–300 mg/m3± 2%0.01 mg/m3Laser Scatter
Table 3. Operating parameters during the tests.
Table 3. Operating parameters during the tests.
ParameterDiagnostic VehicleTrack Geometry Vehicle
Distance [km]74.237
Maximum speed [km/h]126.868.4
Average speed [km/h]65.945.7
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kamińska, M.; Rymaniak, Ł.; Lijewski, P.; Szymlet, N.; Daszkiewicz, P.; Grzeszczyk, R. Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations. Energies 2021, 14, 3141. https://doi.org/10.3390/en14113141

AMA Style

Kamińska M, Rymaniak Ł, Lijewski P, Szymlet N, Daszkiewicz P, Grzeszczyk R. Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations. Energies. 2021; 14(11):3141. https://doi.org/10.3390/en14113141

Chicago/Turabian Style

Kamińska, Michalina, Łukasz Rymaniak, Piotr Lijewski, Natalia Szymlet, Paweł Daszkiewicz, and Rafał Grzeszczyk. 2021. "Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations" Energies 14, no. 11: 3141. https://doi.org/10.3390/en14113141

APA Style

Kamińska, M., Rymaniak, Ł., Lijewski, P., Szymlet, N., Daszkiewicz, P., & Grzeszczyk, R. (2021). Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations. Energies, 14(11), 3141. https://doi.org/10.3390/en14113141

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