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Challenges and Research Trends of Exhaust Emissions

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: 27 November 2024 | Viewed by 4510

Special Issue Editors


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Guest Editor
Faculty of Civil and Transport Engineering, Poznan University of Technology, Poznan, Poland
Interests: exhaust emissions; jet engines

E-Mail Website
Guest Editor
Institute of Combustion Engines and Powertrains, Poznan University of Technology, Piotrowo 3, 60-965 Poznan, Poland
Interests: exhaust emission; real driving emissions; combustion engines; aftertreatment systems; electric vehicles; hybrid vehicles
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Special Issue Information

Dear Colleagues,

In times of dynamic technological and industrial progress, humanity faces the problem of air quality and global warming. The emission of greenhouse gases of anthropogenic origin can accelerate the warming of the planet by up to several degrees Celsius per 100 years. This is associated with great danger to humans and animals. A completely separate issue is air pollution resulting, among others, from the emission of toxic compounds from transport sources. New solutions related to exhaust gas aftertreatment, sustainable aviation fuels, and electrification of transport is leading to success in ecological challenges faced by humanity. The purpose of this Special Issue is to present the latest scientific achievements related to the methods of reducing exhaust emissions as well as the scientific analysis of processes related to the formation of pollutants. It is the responsibility of the scientific community to work for the climate and air quality. That is why I encourage you, dear colleagues, to work together and present your achievements.

Dr. Remigiusz Jasiński
Prof. Dr. Jacek Pielecha
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • combustion engines
  • exhaust emissions
  • aftertreatment systems
  • real driving emissions
  • hybrid systems
  • sustainable aviation fuels
  • energy efficiency improvements
  • hydrogen technology
  • life-cycle assessment
  • marine powertrains
  • new emissions rules and standards
  • global warming
  • air quality

Published Papers (2 papers)

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Research

30 pages, 12733 KiB  
Article
Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques
by Rafia Mumtaz, Arslan Amin, Muhammad Ajmal Khan, Muhammad Daud Abdullah Asif, Zahid Anwar and Muhammad Jawad Bashir
Energies 2023, 16(16), 6087; https://doi.org/10.3390/en16166087 - 21 Aug 2023
Cited by 3 | Viewed by 2416
Abstract
Transitioning to green energy transport systems, notably electric vehicles, is crucial to both combat climate change and enhance urban air quality in developing nations. Urban air quality is pivotal, given its impact on health, necessitating accurate pollutant forecasting and emission reduction strategies to [...] Read more.
Transitioning to green energy transport systems, notably electric vehicles, is crucial to both combat climate change and enhance urban air quality in developing nations. Urban air quality is pivotal, given its impact on health, necessitating accurate pollutant forecasting and emission reduction strategies to ensure overall well-being. This study forecasts the influence of green energy transport systems on the air quality in Lahore and Islamabad, Pakistan, while noting the projected surge in electric vehicle adoption from less than 1% to 10% within three years. Predicting the impact of this change involves analyzing data before, during, and after the COVID-19 pandemic. The lockdown led to minimal fossil fuel vehicle usage, resembling a green energy transportation scenario. The novelty of this work is twofold. Firstly, remote sensing data from the Sentinel-5P satellite were utilized to predict air quality index (AQI) trends before, during, and after COVID-19. Secondly, deep learning models, including long short-term memory (LSTM) and bidirectional LSTM, and machine learning models, including decision tree and random forest regression, were utilized to forecast the levels of NO2, SO2, and CO in the atmosphere. Our results demonstrate that implementing green energy transportation systems in urban centers of developing countries can enhance air quality by approximately 98%. Notably, the bidirectional LSTM model outperformed others in predicting NO2 and SO2 concentrations, while the LSTM model excelled in forecasting CO concentration. These results offer valuable insights into predicting air pollution levels and guiding green energy policies to mitigate the adverse health effects of air pollution. Full article
(This article belongs to the Special Issue Challenges and Research Trends of Exhaust Emissions)
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16 pages, 3757 KiB  
Article
Impact of the Internal Combustion Engine Thermal State during Start-Up on the Exhaust Emissions in the Homologation Test
by Monika Andrych-Zalewska, Zdzislaw Chlopek, Jerzy Merkisz and Jacek Pielecha
Energies 2023, 16(4), 1937; https://doi.org/10.3390/en16041937 - 15 Feb 2023
Cited by 2 | Viewed by 1428
Abstract
Due to the increasingly restrictive exhaust emissions requirements from conventional vehicles, the internal combustion engine start-up seems to be most important part of engine operation. The period immediately after starting the engine is the time when the exhaust emissions are highest, thus, this [...] Read more.
Due to the increasingly restrictive exhaust emissions requirements from conventional vehicles, the internal combustion engine start-up seems to be most important part of engine operation. The period immediately after starting the engine is the time when the exhaust emissions are highest, thus, this aspect is currently subject to heavy analysis. The article evaluates the impact of the engine thermal state during its start-up for a Euro 5 emission class vehicle type approval test. The engine thermal state during start-up turned out to have a crucial influence (throughout the approval test) on the results of the hydrocarbons road emission (a difference of about 1500%) and the road emission of carbon monoxide (63%). The remaining road exhaust emission values were less sensitive to the thermal state of the engine during start-up—the nitrogen oxides emission value increased by 18% (for a cold start compared to a hot start), and the road fuel consumption (and thus the emission of carbon dioxide) increased by about 6%. In conclusion, the authors refer to technical solutions that may have a significant impact on reducing the exhaust emissions in the considered period of engine cold start. Full article
(This article belongs to the Special Issue Challenges and Research Trends of Exhaust Emissions)
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