Data on greenhouse gases emission of fuels in power plants in Malaysia during the year of 1990–2017
| Autor: | Mohamad Nor Khasbi Jarkoni, Sheng-Lun Lin, Che Wan Mohd Noor Che Wan Othman, Samsuri Abdullah, How-Ran Chao, Wan Nurdiyana Wan Mansor |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Population
lcsh:Computer applications to medicine. Medical informatics Emission factor Greenhouse gas emission 03 medical and health sciences 0302 clinical medicine Environmental protection education lcsh:Science (General) 030304 developmental biology 0303 health sciences education.field_of_study Multidisciplinary business.industry Fossil fuel Oil refinery Global warming Fuel oil Electricity generation Climate change mitigation Malaysia power plants Greenhouse gas Environmental Science Environmental science lcsh:R858-859.7 Energy data of Malaysia business 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 30, Iss, Pp 105440-(2020) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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