2010
DOI: 10.1016/j.renene.2009.07.024
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The assessment of renewable energy planning on CO2 abatement in South Korea

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Cited by 32 publications
(5 citation statements)
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“…Combining with the BAU (business-as-susal) analysis method of Huang B et al [15] and Grey Forecasting Model GM(1,1) [16], this study estimated values of energy use in 2020. BAU scenario assumes energy consumed in per unit maintains the latest level of study period [17][18][19] and GM(1,1) model uses average growth speed to predict the value of total outputs [20][21][22]. The results are shown in Table 4.…”
Section: Projectionsmentioning
confidence: 99%
“…Combining with the BAU (business-as-susal) analysis method of Huang B et al [15] and Grey Forecasting Model GM(1,1) [16], this study estimated values of energy use in 2020. BAU scenario assumes energy consumed in per unit maintains the latest level of study period [17][18][19] and GM(1,1) model uses average growth speed to predict the value of total outputs [20][21][22]. The results are shown in Table 4.…”
Section: Projectionsmentioning
confidence: 99%
“…The Taiwan LEAP model was used to compare future energy demand and supply patterns, as well as CO 2 emissions, for several alternative scenarios of energy policy and energy sector evolution [17]. In South Korea, the LEAP model was used to analyze future energy consumption in the electricity generation sector and to assess the environmental and economic impacts of renewable energy planning using alternative scenario investigations [18][19][20]. There have not been any studies assessing CO 2 emissions and reduction potential in the building sector using the LEAP model.…”
Section: 1´long-range Energy Alternative Planning (Leap) Modelmentioning
confidence: 99%
“…South Korea imported 96.4% of its total energy consumed in 2009. With regard to final energy consumption by sector, the building sector accounted for about 19.6% of overall consumption. Total CO 2 emissions reached 607.6 Mton CO 2 (million tons of CO 2 equivalent) in 2009, representing a 105% increase since 1990.…”
Section: Introductionmentioning
confidence: 99%
“…A growing number of researchers are making use of the LEAP software in their attempt to model, forecast, and simulate electric power systems and their emissions. These include but are not limited to: El-Fadel et al [19] and Chedid et al [7,14] for Lebanon, Mulugetta et al [37] for Thailand, Islas et al [38] for Mexico, Jun et al [39] for South Korea, Cai et al [40] for China, Giatrakos et al [41] for Crete, and Kumar et al [42] for Vietnam.…”
Section: The Model and Scenario Developmentmentioning
confidence: 99%