Issue |
MATEC Web Conf.
Volume 213, 2018
2018 6th Asia Conference on Mechanical and Materials Engineering (ACMME 2018)
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 5 | |
Section | Energy and Power Engineering | |
DOI | https://doi.org/10.1051/matecconf/201821304002 | |
Published online | 15 October 2018 |
A statistical Approach for Finding Influential Factors in Respect of Energy Consuming of A Car Passenger
1
Ph.D. in Mechanical Engineering; Tel: +9647708372370; Department of Refrigeration and Air conditioning Technology Engineering, Technical Engineering College of Mosul, North Technical University, Mosul, Iraq
2
Ph.D. in Mechanical Engineering; Tel: +6738929497; Faculty of Integrated Technologies, University Brunei Darussalam, Jalan Tungku Link, Bandar Seri Begawan BE1410, Brunei Darussalam
Email: alabadi.hussein@ntu.edu.iq & hrlha@yahoo.com
Email: asifiqbal@gmail.com
Nowadays the usage of gasoline as an energy resource is one of the most important subjects in the engineering field. A car is one type of energy consumer. Energy is used to build the cars and to running it. The fuel prices are fluctuate, so it seems sensible to explore every avenue towards saving energy in cars making. and study the factors that affect its consumption. The aim of the present work is to explain theoretically the calculation of fuel saving and cost in a car passengers in a greater detail than it has been done before and to describe statistically the affecting factors upon it. A statistical analysis has been used to study the influence of the weight and acceleration of the car upon the fuel consumption. It was shown that the fuel consumption increases linearly with the increase of a car weight and accordingly, the cost per unit travel of the car will increase.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.