Tippichai, Atit
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Preferred name
Tippichai, Atit
Main Affiliation
Email
atit.ti@kmitl.ac.th
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Item type:Publication, Decomposition Analysis of Energy Consumption in Thailand, 1990-2020(2022-07-19)Thailand is a net energy importer that has steadily increased the demand for energy over the past several decades. But there has not been a systematic analysis of the energy demand change factors. Therefore, in this study, a decomposition analysis was applied to determine the major driving forces of the changes in energy use from the years 1990-2020. The analysis period covered a regional financial crisis known in Thailand as the “Tom Yum Kung” crisis in 1997-1998 and a global pandemic COVID-19 in 2020. The analysis results showed that the value-added of economic sectors is the most important factor in requiring more energy, while energy intensity is the most important factor in reducing energy consumption. Therefore, increasing the value-added of productions and enhancing the energy efficiency more stringent will lead to a decoupling of energy consumption against GDP and sooner peak demand of energy in Thailand. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Energy Demand Modeling for the Eastern Economic Corridor of Thailand: A Case Study of Rayong Province(2022-03-20) ;Lunsamrong, ChanidapornThis paper assesses long-term energy consumption and greenhouse gas (GHG) emissions in Rayong Province which is one of the three provinces in the Eastern Economic Corridor (EEC) of Thailand. LEAP (the low emissions analysis platform) is used to project final energy demand for each economic sector by using the 2019 data as a base year. In the model, we defined the energy consumption into two scenarios; a business-as-usual (BAU) scenario and a low carbon scenario (LCS), to see different energy demand and CO<inf>2</inf> emissions up to the year 2050. There are different assumptions between BAU and LCS in each sector such as energy efficiency improvement, shift to modern energy, the share of high energy-efficient vehicles, etc. In the BAU scenario, the final energy consumption needed by Rayong Province will increase with an average annual growth rate (AAGR) of 3.49%, while only 1.52% for the LCS. CO<inf>2</inf> emissions in the LCS will be reduced by 41.7% by 2050 when compared with the BAU scenario. Most interestingly, even though energy demand in Rayong Province will be increasing up to 2050, CO<inf>2</inf> emissions will peak about 2035 and then reduce. The industry and transport sectors are the most final energy consumption and the highest CO<inf>2</inf> emissions. This is because EEC is driven by a production-based economy. The solution for this is to transform to alternative energies sourcing, shift all productions to sustainable ones, restructure the industrial estate to become the eco-industrial and GHG emissions management, which will also result in obvious carbon reduction. This kind of information will be beneficial to energy demand conservation and GHG emission mitigation at the provincial level which will depend on the energy policies initiated and implemented in the future.
