Data on greenhouse gases emission of fuels in power plants in Malaysia during the year of 1990–2017

Energy has a significant influence on Malaysia's industry. It is used in electricity generation, refineries, gas processing plants and end-user applications such as transportation, residential, agriculture and fishing. These burning fossil fuel activities produce greenhouse gases (GHG) emissions. This article presents the emissions data of fuel used in power plants in Malaysia during the year of 1990 until 2017. The fuel used in power plants is coal and coke, natural gas, diesel oil and residual fuel oil. The energy data used in power plants were gathered from the Malaysia Energy Information Hub, published by the Malaysian Energy Commission. The GHG emissions data were calculated using the emission factors method. The climate impact of different GHGs in terms of CO2-equivalent (CO2-e) was also calculated using global warming potentials. The article also presents population data in Malaysia during the year. A correlation between the fuels, GHG emission and the population is also investigated using statistical analysis. The data presented here may facilitate the Malaysian government to identify the source of the pollutants and undertake a climate change mitigation plan.


a b s t r a c t
Energy has a significant influence on Malaysia's industry. It is used in electricity generation, refineries, gas processing plants and end-user applications such as transportation, residential, agriculture and fishing. These burning fossil fuel activities produce greenhouse gases (GHG) emissions. This article presents the emissions data of fuel used in power plants in Malaysia during the year of 1990 until 2017. The fuel used in power plants is coal and coke, natural gas, diesel oil and residual fuel oil. The energy data used in power plants were gathered from the Malaysia Energy Information Hub, published by the Malaysian Energy Commission. The GHG emissions data were calculated using the emission factors method. The climate impact of different GHGs in terms of CO 2 -equivalent (CO 2 -e) was also calculated using global warming potentials. The article also presents population data in Malaysia during the year. A correlation between the fuels, GHG emission and the population is also investigated using statistical analysis. The data presented here may facilitate the Malaysian government to identify the source of the pollutants and undertake a climate change mitigation plan.
© 2020 The Author(s

Value of the Data
• These data are useful for climate change mitigation measures in reducing GHG emissions from fossil-fuel-fired power plants. • Malaysia's government is committed to reducing its greenhouse gas emission under the 2015 Paris Climate agreement by 2030. The government can estimate how much the reduction when switching to renewable energy plants using these data. The data is also beneficial for those who are interested with Malaysia's greenhouse gas emissions trend during the year of 1990 until 2017. • The data presents the opportunity for greenhouse gas emission reduction in Malaysia from the power plants sector. • The data shows the trend of Malaysia's populations from 1990 until 2017 and their correlation with the GHG emission from the power plant sector. The data is beneficial for those who are interested in learning the relationship between Malaysia's energy vs. population, either performing the time series or forecasting future trends.

Data description
Data for populations, GHG emissions specifically CO 2 , CH 4 , N 2 O and total emissions in CO 2 -e from fuel power plants in Malaysia during the year of 1990 until 2017 are shown. The total of  four figures and seven tables showing each data are presented in this investigation. Fig. 1 and Fig. 2 show active power plants in Malaysia using coal, natural gas, diesel and fuel oil in 2018. Table 1 shows the emission factor and global warming potential values for a 100-year limit relative to CO 2 . Table 2 presents the data of Malaysia's populations during the year 1990 until 2017. Table 3 depicts the data of GHG and its total emissions in tons and CO 2 -e, respectively, from natural gas power plants. Table 4 , Table 5 and Table 6 present the GHG emissions data in tons and CO 2 -e from diesel, fuel oil and coal and coke power plants, respectively. Fig. 3 . illus-   trates the trend of GHG emissions and populations over time. Fig. 4 . represents the total GHG emissions in CO 2 -e from power plants and populations in Malaysia. Table 7 shows the correlation analysis between the total GHG emissions in CO 2 -e from fuels used in power plants and populations.

Experimental design, materials, and methods
The energy data used in the research were gathered from the Malaysia Energy Commission [1] . The amount of GHG emitted from power plants was calculated using Eq. (1) . For the estimation of the global warming potential from the power generation technologies, the Eq. (2) was used. (2) where E is the amount of GHG mass in tons, A is the activity data in ktoe and EF is the emission factor in kg/TJ, which is the coefficient established by the Intergovernmental Panel on Climate Change (IPCC) as shown in Table 1 [2] . The total GHG emissions data were converted to CO 2 -e by multiplying the E with the global warming potential, GWP values as shown in Table 1 . The CO 2e reports the equivalent global warming impact from any quantity and type of GHG emissions. The data were processed using an Excel spreadsheet. For the next step in the analysis of the data, the Spearman correlation analysis was applied. The statistical analysis is rated to have a confidence level of 95% [3] .