Life Cycle Energy Assessment in the Electricity Generation Sector of Thailand
Keywords:
Energy consumption, Sustainable development, Environmental growth, Climate changeAbstract
This research aims to study the relationship of causal factors affecting energy consumption throughout the life cycle in Thailand’s electricity production sector in the future, in line with the country’s development goal toward sustainability. A Long Structural Equation Modeling based on the Latent Growth Model (LSEM-LG model) was developed as a key tool to be applied in managing the country efficiently toward the net zero emission goal by the year 2065. The research findings revealed that from the past (1992–2024), there has been continuous and significant growth in the economic and social sectors. However, this growth has simultaneously caused ongoing environmental degradation. The study found that CO2 emissions resulting from energy use in the electricity sector have increased beyond the acceptable threshold (set not to exceed 65.05 Mt CO2 Eq. for 2024–2034). The projected growth rate between 2025 and 2034 is 31.52%, resulting in CO2 emissions reaching 75.79 Mt CO2 Eq. As a result, the study proposes a new policy scenario: increasing the use of biodiesel and gasohol fuels can help reduce the growth rate of CO2 emissions to only 52.31 Mt CO2 Eq. (2025– 2034). This demonstrates that the model developed in this study is suitable for application in national decision-making to drive the country toward a green industrial future.
References
The World Bank. “Energy Use (Kg of Oil Equivalent Per Capita) Home Page,” Jan. 5, 2025. [Online]. Available: https://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE
Office of the National Economic and Social Development Council (NESDC). Jan. 3, 2025. [Online]. Available: https://www.nesdc.go.th/nesdb_en/main.php?filename=index
Thailand Greenhouse Gas Management Organization (Public Organization). Net Zero GHG Emissions, Jan. 10, 2025. [Online]. Available: https://www.tgo.or.th/2023/index.php/th/page/PAG232
Department of Alternative Energy Development and Efficiency. Jan. 5, 2025. [Online]. Available: https://pei.dede.go.th/my_MM/dataset/energybalance-of-thailand
National Statistical Office Ministry of Information and Communication Technology. Jan. 15, 2025. [Online]. Available: https://dl.parliament.go.th/handle/20.500.13072/425815
OECD, Historical Crude Oil Import Prices (Indicator). Organization for Economic Co-operation and Development. Jan. 15, 2025. [Online]. Available: https://data.oecd.org/energy/crudeoil-import-prices.htm
ONEP. “Thailand’s Fourth Biennial Update Report, Office of Natural Resources and Environmental Policy and Planning,” Jan. 10, 2025. [Online]. Available: https://www.onep.go.th
P. Sutthichaimethee. “A Framework on Setting Strategies for Enhancing the Efficiency of State Power use in Thailand’s Pursuit of a Green Economy”, Int. J. Energy Econ. Policy., 2024, vol. 14, pp. 108–120.
United Nations Framework Convention on Climate Change (UNFCCC, Bonn, Germany). “The Paris Agreement: An Early Assessment. Environ.” Policy Law, 2014, vol. 44, pp. 485–488.
United Nations Framework Convention on Climate Change (UNFCCC, Bonn, Germany). “Global Progress in Environmental Law.” Environ. Policy Law., 2016, vol. 46, pp. 23–27.
P. Sutthichaimethee, “Forecasting Economic, Social and Environmental Growth in the Sanitary and Service Sector Based on Thailand’s Sustainable Development Policy.” J. Ecol. Eng., 2018, vol. 19, pp. 205–210.
Pollution Control Department Ministry of Natural Resources and Environment. “Enhancement and Conservation of National Environmental Quality Act,” B.E. 2535, Jan. 10, 2025, [Online]. Available: https://www.pcd.go.th/laws/5406/
Thailand Development Research Institute, Carbon Capture Utilization. “Carbon Capture Utilization and Storage,” Jan. 15, 2025. [Online]. Available: https://thaicarbonlabel.tgo.or.th/tools/files.php?mod=YjNKbllXNXBlbUYwYVc5dVgyUnZkMjVzYjJGaw&type=WDBaSlRFVlQ&files=TkRrPQ
P. Sutthichaimethee et al., “A LongTerm CO2 Emission Forecasting Under Sustainability Policy Using an Advanced Model Complementing the PAARIMAX Framework,” Agriculture, 2024, vol. 14, pp. 2342.
Harvey, A.C. Forecasting, “Structural Time Series Models and the Kalman Filter,” Cambridge University Press: Cambridge, UK, 1980.
D.A. Dickey and W.A. Fuller. “Likelihood ratio statistics for autoregressive time series with a unit root.” Econometrica, 1981, vol. 49, pp. 1057–1072.
S. Johansen and K. Juselius. “Maximum likelihood estimation and inference on cointegration with applications to the demand for money.” Oxf. Bull. Econ. Stat., 1990, vol. 52, pp.169–210.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Faculty of Industrial Technology, Suan Sunandha Rajabhat University

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของคณะเทคโนโลยีอุตสาหกรรม มหาวิทยาลัยราชภัฎสวนสุนันทา
ข้อความที่ปรากฏในบทความแต่ละเรื่องในวารสารวิชาการเล่มนี้เป็นความคิดเห็นส่วนตัวของผู้เขียนแต่ละท่านไม่เกี่ยวข้องกับมหาวิทยาลัยราชภัฎสวนสุนันทา และคณาจารย์ท่านอื่นๆในมหาวิทยาลัยฯ แต่อย่างใด ความรับผิดชอบองค์ประกอบทั้งหมดของบทความแต่ละเรื่องเป็นของผู้เขียนแต่ละท่าน หากมีความผิดพลาดใดๆ ผู้เขียนแต่ละท่านจะรับผิดชอบบทความของตนเองแต่ผู้เดียว

