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Dr. Ibrahim Ramadan :: Publications:

Title:
CALIBRATION OF VEHICLE EMISSIONS-SPEED RELATIONSHIPS FOR THE GREATER CAIRO ROADS
Authors: Ibrahim M. I. Ramadan, Naglaa kamal Rashwan
Year: 2016
Keywords: Vehicle Speed, Vehicle Emissions, Emission Modeling
Journal: International Journal of Civil Engineering and Technology (IJCIET)
Volume: 7
Issue: 1
Pages: 74-82
Publisher: IAEME Publication
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

The air pollution in Cairo is a matter of serious concern. The air pollution in greater Cairo is more than 10 to 100 times of acceptable world standards. There is a wide range of speed variation in Cairo. Consequentially, there is a wide range of emission rates. This research explains the relationship between vehicle speed and emissions for small cars using field tests. The representative car in this research is the Daewoo Lanus model 2000. This car is a representative for most small modern cars in Egypt. The mobile emission detector has been fixed on the car emission source. Tests have been implemented in two roads: Salah Salem road and Auto strad road. More than 1000 readings have been taken from the detector at various speeds. The speed varied between 0 and 85 km per hour and the relationships between speed and four types of emissions have been studied. These emissions include Carbon Mono oxide (CO), Carbon Dioxide (CO2), Nitrogen Oxide (NOx), and hydrocarbons (HC).The above data has been transferred from the device format into Excel sheet format for analysis. In this research, the best relationship between speed and CO emission was found to be a multinomial function with third degree. Similarly, the same conclusion was found for relationship between speed and both CO2 and NOx. In contrast, the best relationship between speed and HC is an exponential function. Authors recommend extending these experimental studies to include all types of vehicles and to include all factors that affect emissions. These factors include car model, ambient temperature, motor temperature, machine load, road grade, and other factors.

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