Publication:
Developing Models for Energy Demand and Greenhouse Gas Emission Projection in Malaysia.

Simple item page
dc.contributor.author'Aqilah Abdul Rauf
dc.date.accessioned2023-05-03T15:18:12Z
dc.date.available2023-05-03T15:18:12Z
dc.date.issued2020-09
dc.description.abstractABSTRACT To reduce greenhouse gas emissions in Malaysia and the whole world, a better understanding is needed between the energy demand for the transportation sector and how to reduce it. This study seeks to develop a suitable energy demand model for Malaysia's transportation sector based on the price of fuel in Malaysia, the population of Malaysia, an average monthly wage, the total number of transportation, gross domestic product (GDP), and mean annual temperature in Malaysia. It also projects the energy demand and greenhouse gas emissions for the transportation sector using the energy demand model. Based on the result obtained, this study suggests a policy intervention in order to reduce greenhouse gas emissions. The data obtained for all variables, including final energy demand, were from 1989 to 2018 while the projection for final energy demand and greenhouse gas emissions start from 2019 to 2040. The energy demand model is then developed using a statistical software called Minitab. The population of Malaysia is found to be significantly associated with energy demand. It was also found that based on natural gas, motor gasoline, jet gasoline, and diesel oil, the CO2 and N2O emissions will decrease from 2019 to 2040. Two policies were suggested to drop the greenhouse gas emissions; have a compact and mixed-use land development and fuel switching policy.en_US
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/20749
dc.subjectEnergy Demanden_US
dc.subjectTransportation Sectoren_US
dc.subjectGreenhouse Gas Emissionen_US
dc.titleDeveloping Models for Energy Demand and Greenhouse Gas Emission Projection in Malaysia.en_US
dc.typeResource Types::text
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
Files
Collections
COE Thesis and Final Year Project (FYP)