NON LINEAR CARBON EMISSION IN THE SUSTAINABILITY OF RENEWABLE ELECTRICITY

Abstract

The effects of global warming have made it clearer in recent years that energy transformation is now a crucial component of reaching carbon neutrality. Therefore, this study focuses on the connection between carbon emissions and electrical energy transformation in particular. The time series approach is used in this work to investigate energy transition problems. This study investigates the nonlinear effects of carbon emission variations on the usage of coal, oil, and renewable electrical energy sources. There is a significant correlation between three variables, namely renewable electricity, oil and coal where the significant number is less than 0.05. The largest coefficient contributing to carbon emissions is oil followed by coal. While renewable energy reduces carbon emissions with a negative coefficient. This study was conducted in the period 1990-2022.