Literature DB >> 32300616

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

Wan Nurdiyana Wan Mansor1,2, Samsuri Abdullah1,2, Che Wan Mohd Noor Che Wan Othman1, Mohamad Nor Khasbi Jarkoni1, How-Ran Chao3, Sheng-Lun Lin4,5.   

Abstract

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.
© 2020 The Author(s).

Entities:  

Keywords:  Emission factor; Energy data of Malaysia; Greenhouse gas emission; Malaysia power plants

Year:  2020        PMID: 32300616      PMCID: PMC7152656          DOI: 10.1016/j.dib.2020.105440

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table

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 CO2, CH4, N2O and total emissions in CO2-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, 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 CO2. 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 CO2-e, respectively, from natural gas power plants. Table 4, Table 5 and Table 6 present the GHG emissions data in tons and CO2-e from diesel, fuel oil and coal and coke power plants, respectively. Fig. 3. illustrates the trend of GHG emissions and populations over time. Fig. 4. represents the total GHG emissions in CO2-e from power plants and populations in Malaysia. Table 7 shows the correlation analysis between the total GHG emissions in CO2-e from fuels used in power plants and populations.
Fig. 1

Power plants located in Peninsular Malaysia.

Fig. 2

Power plants located in West Malaysia.

Table 1

Emission factor and global warming potential value.

GHGEmission Factor (kg/TJ) [4]
GWP values for 100-year time horizon [2]
Natural gasDiesel oilFuel Oil (as Residual Fuel oil)Coal and Coke (as coking coal)Fifth assessment report (AR5)
CO256,10074,10077,40094,6001
CH4510101028
N2O0.10.60.61.5265
Table 2

Malaysia's population 1990 – 2017.

YearPopulationsReference
199018,102,400[5]
199118,547,200[5]
199219,067,500[5]
199319,601,500[5]
199420,141,700[5]
199520,681,800[5]
199621,222,600[5]
199721,769,300[5]
199822,333,500[5]
199922,909,500[5]
200023,494,900[5]
200124,030,500[5]
200224,542,500[5]
200325,038,100[5]
200425,541,500[5]
200526,045,500[5]
200626,549,900[5]
200727,058,400[5]
200827,567,600[5]
200928,081,500[5]
201028,588,600[5]
201129,062,000[5]
201229,510,000[5]
201330,213,700[5]
201430,708,500[6]
201531,186,100[6]
201631,633,500[6]
201732,022,600[6]
Table 3

GHG emissions in tons from natural gas power plants in Malaysia, 1990–2017.

YearGHG emissions (tons)
Annual growth/Reduction
CO2CH4N2OAll GHGs (tons CO2-e)
19903196,709.7256.985.703,199,815.26
19915949,497.23106.0510.615,955,277.0486.1%
19927384,610.85131.6313.167,391,784.8524.1%
199310,273,628.46183.1318.3110,283,609.0739.1%
199412,023,480.58214.3221.4312,035,161.1517.0%
199515,065,169.85268.5426.8515,079,805.3525.3%
199617,590,124.26313.5531.3517,607,212.7016.8%
199717,688,773.64315.3131.5317,705,957.920.6%
199820,871,390.59372.0437.2020,891,666.7218.0%
199923,868,452.76425.4642.5523,891,640.4714.4%
200027,199,043.78484.8348.4827,225,467.1014.0%
200128,002,331.61499.1549.9228,029,535.303.0%
200229,181,426.60520.1752.0229,209,775.754.2%
200325,585,421.76456.0745.6125,610,277.47−12.3%
200424,768,041.17441.5044.1524,792,102.81−3.2%
200528,822,060.99513.7651.3828,850,061.0316.4%
200629,416,306.08524.3552.4429,444,883.412.1%
200729,475,025.95525.4052.5429,503,660.330.2%
200832,063,397.81571.5457.1532,094,546.758.8%
200931,450,362.37560.6156.0631,480,915.75−1.9%
201029,660,580.73528.7152.8729,689,395.38−5.7%
201125,782,720.52459.5945.9625,807,767.90−13.1%
201227,088,650.43482.8648.2927,114,966.505.1%
201331,755,705.70566.0656.6131,786,555.7117.2%
201432,554,295.93580.2958.0332,585,921.762.5%
201531,422,176.83560.1156.0131,452,702.84−3.5%
201631,145,019.05555.1755.5231,175,275.80−0.9%
201727,927,999.30497.8349.7827,955,130.78−10.3%
Table 4

GHG emissions in tons from diesel power plants in Malaysia, 1990–2017.

YearGHG emissions (tons)
Annual growth/Reduction
CO2CH4N2OAll GHGs (tons CO2-e)
1990359,880.5814.572.91361,060.76
1991508,796.6820.604.12510,465.2141.4%
1992496,387.0120.104.02498,014.84−2.4%
1993269,910.4410.932.19270,795.57−45.6%
1994772,502.2831.286.26775,035.59186.2%
1995822,140.9833.296.66824,837.076.4%
1996881,086.9435.677.13883,976.337.2%
1997573,947.4823.244.65575,829.65−34.9%
1998853,165.1734.546.91855,963.0048.6%
1999533,616.0321.604.32535,365.95−37.5%
2000592,561.9923.994.80594,505.2111.0%
2001862,472.4334.926.98865,300.7845.5%
20021476,751.3559.7911.961,481,594.1471.2%
20031054,822.3942.718.541,058,281.53−28.6%
2004843,857.9134.166.83846,625.22−20.0%
2005924,520.8037.437.49927,552.639.6%
20061914,192.4077.5015.501,920,469.71107.0%
2007974,159.5039.447.89977,354.12−49.1%
2008927,623.2237.567.51930,665.22−4.8%
20091191,328.8248.239.651,195,235.6128.4%
20101287,503.8052.1310.431,291,725.988.1%
20113043,472.84123.2224.643,053,453.46136.4%
20122516,061.65101.8620.372,524,312.70−17.3%
20131932,806.9178.2515.651,939,145.27−23.2%
20141929,704.4978.1315.631,936,032.67−0.2%
2015865,574.8535.047.01868,413.37−55.1%
2016511,899.1020.724.14513,577.80−40.9%
2017465,474.5118.853.77467,000.96−9.1%
Table 5

GHG emissions in tons from fuel oil power plants in Malaysia, 1990–2017.

YearGHG emissions (tons)
Annual growth/Reduction
CO2CH4N2OAll GHGs (tons CO2-e)
19909310,195.53360.8672.179,339,425.22
19918707,447.06337.5067.508,734,784.39−6.5%
19927621,851.69295.4259.087,645,780.76−12.5%
19937738,512.68299.9459.997,762,808.011.5%
19946341,821.32245.8149.166,361,731.69−18.0%
19956717,728.97260.3852.086,738,819.525.9%
19967628,332.85295.6759.137,652,282.2713.6%
19978043,127.50311.7562.358,068,379.185.4%
19986902,442.22267.5453.516,924,112.67−14.2%
19993078,554.04119.3223.863,088,219.27−55.4%
20001918,425.2574.3614.871,924,448.22−37.7%
20012365,625.7491.6918.342,373,052.7023.3%
20024416,914.90171.2034.244,430,781.9686.7%
2003936,528.5436.307.26939,468.81−78.8%
2004887,919.8034.426.88890,707.45−5.2%
2005891,160.3834.546.91893,958.210.4%
2006554,139.7321.484.30555,879.47−37.8%
2007644,876.0625.005.00646,900.6716.4%
2008586,545.5622.734.55588,387.04−9.0%
2009664,319.5625.755.15666,405.2113.3%
2010405,072.9015.703.14406,344.64−39.0%
20113574,363.27138.5427.713,585,585.11782.4%
20121782,320.7669.0813.821,787,916.42−50.1%
20131270,308.6149.249.851,274,296.79−28.7%
2014871,716.8833.796.76874,453.67−31.4%
2015327,298.9012.692.54328,326.47−62.5%
2016502,290.4019.473.89503,867.3553.5%
2017364,653.1114.132.83365,797.95−27.4%
Table 6

GHG emissions in tons from coal and coke power plants in Malaysia, 1990–2017.

YearGHG emissions (tons)
Annual growth/Reduction
CO2CH4N2OAll GHGs (tons CO2-e)
19903220,059.5134.0451.063,234,542.97
19913814,166.4340.3260.483,831,322.1118.5%
19923833,969.9940.5360.793,851,214.750.5%
19933501,270.1237.0155.523,517,018.43−8.7%
19943663,659.3438.7358.093,680,138.064.6%
19953790,402.1540.0760.103,807,450.953.5%
19963762,677.1639.7759.663,779,601.25−0.7%
19973493,348.6936.9355.393,509,061.37−7.2%
19983818,127.1440.3660.543,835,300.649.3%
19995275,669.4555.7783.655,299,398.8138.2%
20005921,265.6462.5993.895,947,898.8112.2%
20017897,661.3283.48125.237,933,184.1033.4%
200210,123,581.92107.01160.5210,169,116.6328.2%
200316,254,765.33171.83257.7416,327,877.4160.6%
200421,098,717.09223.03334.5521,193,616.7129.8%
200521,946,309.62231.99347.9922,045,021.624.0%
200623,621,691.14249.70374.5523,727,938.817.6%
200729,649,896.02313.42470.1429,783,257.8725.5%
200831,958,991.58337.83506.7532,102,739.487.8%
200935,686,022.33377.23565.8535,846,533.9811.7%
201051,295,191.47542.23813.3551,525,911.3943.7%
201151,540,755.67544.83817.2451,772,580.100.5%
201255,996,557.57591.93887.8956,248,423.698.6%
201353,576,562.05566.35849.5253,817,543.31−4.3%
201454,055,808.29571.41857.1254,298,945.150.9%
201561,894,058.93654.27981.4162,172,451.3414.5%
201667,732,149.59715.981073.9868,036,801.079.4%
201775,170,368.23794.611191.9275,508,475.9711.0%
Fig. 3

Time-series plot for GHG emissions and population trends.

Fig. 4

Total GHG emissions in CO2-e from power plants and populations in Malaysia.

Table 7

Spearman correlation analysis between GHG emissions from fuels and populations.

Fuel typeNatural gasDieselFuel oilCoal & Coke
Population0.876a0.515b−0.867a0.936a

Correlation is significant at the 0.05 level (2-tailed).

Correlation is significant at the 0.01 level (2-tailed).

Power plants located in Peninsular Malaysia. Power plants located in West Malaysia. Emission factor and global warming potential value. Malaysia's population 1990 – 2017. GHG emissions in tons from natural gas power plants in Malaysia, 1990–2017. GHG emissions in tons from diesel power plants in Malaysia, 1990–2017. GHG emissions in tons from fuel oil power plants in Malaysia, 1990–2017. GHG emissions in tons from coal and coke power plants in Malaysia, 1990–2017. Time-series plot for GHG emissions and population trends. Total GHG emissions in CO2-e from power plants and populations in Malaysia. Spearman correlation analysis between GHG emissions from fuels and populations. Correlation is significant at the 0.05 level (2-tailed). Correlation is significant at the 0.01 level (2-tailed).

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.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 CO2-e by multiplying the E with the global warming potential, GWP values as shown in Table 1. The CO2-e 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].
SubjectEnvironmental Engineering
Specific subject areaAir Pollution
Type of dataTable
Figure
Graph
How data were acquiredRaw data was gathered from the Malaysia Energy Commission and the Department of Statistics, Malaysia.
Data formatProcessed, raw
Parameters for data collectionData of fuel input to power stations and Malaysia's population during the year of 1990 until 2017 were considered.
Description of data collectionThe data was processed and analysed using the emission factor method by the 2006 IPCC Guidelines for National Greenhouse Inventories. The global warming potential values from the 2014 IPCC Fifth Assessment Report was used in global warming potential calculation. The data was analysed statistically using Microsoft Excel 2013.
Data source locationMalaysia, 4.2105° N, 101.9758° E
Data accessibilityProcessed data is available with the article. Direct URL to raw data: https://meih.st.gov.my/publications, http://www.dosm.gov.my and http://www.data.gov.my
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