Abstract
This study presents a model of pollutant emissions (CO, CO2, and HC) based on the construction characteristics of different vehicle models in the city of Cuenca, Ecuador. For this purpose, information on the most representative M1 category vehicles in the city was collected from the Vehicle Technical Inspection (RTV) database. The correlation between different variables such as year of manufacture, vehicle weight, RPM at maximum torque, maximum torque, cylinder capacity, and pollutant emissions was analyzed. Also, emission factors were calculated for the most popular vehicles and the level of uncertainty of the study was determined as category B. The results obtained indicate that the year of manufacture is the construction variable that has the greatest influence on vehicle emissions. It was observed that, at 800 RPM, the year of manufacture influences a 43% increase in CO emissions, while, at 2500 RPM, emissions increase to 59%. In the case of CO2, an increase of 54% was observed at 2500 RPM, while, for HC at 800 RPM, the increase was 52%. However, by increasing the speed to 2500 RPM, emissions decrease to 30%. In addition, it was found that the gear change directly influences the amount of vehicle emissions; annual CO2 emissions are higher in the third and fifth gears due to the time the vehicles circulate in these gears. Finally, it was identified that the Brand 2, Model A and Brand 1, Model F vehicles generate the highest amount of annual CO emissions.
| Original language | English |
|---|---|
| Article number | 012009 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 1370 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2024 |
| Event | 3rd Congress on Sustainability, Energy and the City, CSECity 2023 - Hybrid, Ambato, Ecuador Duration: 20 Nov 2023 → 21 Nov 2023 |
Bibliographical note
Publisher Copyright:© Published under licence by IOP Publishing Ltd.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- CO
- CO2
- correlation
- emission model
- emissions factor
- gear
- HC
CACES Knowledge Areas
- 617A Design and Construction of Motor Vehicles, Boats and Aircraft
Projects
- 1 Finished
-
Characterization of Sustainable Mobility Models Using Machine Learning Architectures Applied to PID Signals Obtained via OBD II for the Study of Pollutant Emissions in the City of Cuenca
Rivera Campoverde, N. D. (PI), Bermeo Naula, A. K. (Col), Molina Campoverde, P. A. (Col), Vidal Suarez, J. S. (Student), Jachero Bravo, B. F. (Student), Semiglia Pineda, W. J. (Student), Gomez Punin, K. P. (Student), Idrovo Pulla, D. R. (Student), Narvaez Calle, J. F. (Student), Juarez Cardenas, C. A. (Student), Mendoza Criollo, P. J. (Student), Avila Ramon, H. P. (Student), Montenegro Siguenza, J. F. (Student), Angamarca Silverio, W. N. (Student), Avila Puzma, J. F. (Student), Guartazaca Uyaguari, J. S. (Student), Vasquez Segarra, C. S. (Student), Suqui Padilla, J. I. (Student), Alvarez Montenegro, J. S. (Student), Siavichay Neira, V. S. (Student), Lucero Duran, W. M. (Student), Vintimilla Leon, A. S. (Student), Pacheco Auquilla, D. S. (Student), Peralta Bueno, L. A. (Student), Juca Guaman, J. A. (Student), Ortuño Samaniego, J. I. (Student), Cardenas Ormaza, J. S. (Student) & Jimenez Lojano, E. J. (Student)
18/05/23 → 8/01/25
Project: Research and Development
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