PREDICTION OF CARBON DIOXIDE EMISSION FROM ELECTRICITY GENERATION IN ASEAN
نویسندگان
چکیده
The Coal-Fired Power Plants with low-emissions plants in the power sector can avoid nearly 800 million tonnes CO2 by 2030. number of populations, Gross Domestic Product (GDP), electricity generation, NDC, and relevant energy policies influenced prediction Carbon Dioxide (CO2) emission from generation. Aim: objective is to analyze trends growth related generation activities countries ASEAN an emphasis on identifying factors that influence it evaluating effectiveness existing decarbonization AMS developing suitable strategies reduce future emissions. Methodology Result: Predicting emissions conducted using three approaches considering newest NDC policies, descriptive quantitative analysis based secondary data (1) general information Member States (AMS), (2) plants, (3) fuel use (4) AMS. Results indicated availability potential sources (coal/oil/gas/RE) influences dominant used Prediction CO2e 2020 2040 period identified Vietnam as one highest emitters (380,1 Mt CO2e) Conclusion, significance impact study: needs make a more aggressive policy level significantly, achieving 2050 net zero transition targets. Ultimately, shifting coal-fired other lower factor proves be most significant towards reduction.
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ژورنال
عنوان ژورنال: Indonesian journal of urban and environmental technology
سال: 2023
ISSN: ['2579-9150', '2579-9207']
DOI: https://doi.org/10.25105/urbanenvirotech.v6i1.14810