Analysis of dynamic system of conventional cars and oil production in Germany using Lotka Volterra Model / Nur Faqihah Muhammad Daud, Muhammad Alif Mohammad and Nurul Izzah Mohd Nazita

Muhammad Daud, Nur Faqihah and Mohammad, Muhammad Alif and Mohd Nazita, Nurul Izzah (2022) Analysis of dynamic system of conventional cars and oil production in Germany using Lotka Volterra Model / Nur Faqihah Muhammad Daud, Muhammad Alif Mohammad and Nurul Izzah Mohd Nazita. [Student Project] (Submitted)

Abstract

The problem of Germany’s daily oil shortage draws our attention to determine the factors contributing to the large in oil consumption. In this project, we are interested to investigation whether conventional cars industry are the primary cause to the problem. This project aims to use Logistics and Lotka Volterra models to find the growth rate and to analyze the population dynamic of conventional cars and oil production. To elaborate, the major goal of this research we used a logistics model to find the growth rate of conventional cars and oil production, as well as a lotka volterra model to analyze the dynamic population of conventional cars and oil industry, particularly in Germany. We have the prey, which is oil production, and the predator, which is conventional cars, in the Lotka Volterra model. As a result, we aim to find a solution to the problem of conventional cars being the primary cause of oil production fluctuations in Germany. In this work, we utilised two methods to calculate the growth rate which are the logistic model and Lotka Volterra model for oil production and conventional cars in Germany. We entered the growth rate figures into Microsoft Excel to forecast future production for these two industries. We saw the relationship between them by entering the growth rate acquired in the first objective into Python. As a result, the growth rate of prey and predators plays a substantial impact in the development of an industry, according to our findings. Among these, conventional cars will be unable to function if oil production ceases. In conclusion, this technique is crucial because it allows the oil industry to correctly build long-term operating plans without having to deal with complications when inevitable events occur. As a result, the idea of conducting an oil peak risk analysis to determine the benefits and costs of minimising the likelihood of oil peak events might be very useful, and the option of oil fuel switching transportation should be strongly supported.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Muhammad Daud, Nur Faqihah
2020993331
Mohammad, Muhammad Alif
2020993207
Mohd Nazita, Nurul Izzah
2020985341
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Ismail, Mardhiyah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis
T Technology > TL Motor vehicles. Aeronautics. Astronautics > Motor vehicles. Cycles
T Technology > TP Chemical technology > Oils, fats, and waxes
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Mathematics
Keywords: Logistics and Lotka Volterra models, Microsoft Excel, Python, Transportation
Date: February 2022
URI: https://ir.uitm.edu.my/id/eprint/72352
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