TY - JOUR
T1 - Forecasting new and renewable energy supply through a bottom-up approach
T2 - The case of South Korea
AU - Lee, Chul Yong
AU - Huh, Sung Yoon
N1 - Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2017/3/1
Y1 - 2017/3/1
N2 - This paper introduces the forecasting model for a new and renewable energy supply utilized in the Fourth Basic Plan for New and Renewable Energy of South Korea in 2014 and presents the estimated results. The Korean government formulated a plan for raising the new and renewable energy deployment rate to 11% by 2035, and this paper presents the development of the corresponding plan. The proposed model essentially uses a bottom-up method to reflect the characteristics of each renewable source. In addition, a competitive diffusion model, a logistic growth model, a linear regression model, and data from government planning and companies’ planned projects are used. The forecasts are classified and presented by renewable source and output type (i.e., electricity, heat, and transportation fuels). The results show that Korean new and renewable energy production will reach about 37 million tonnes of oil equivalent by 2035. In addition, the renewable electricity sector has become mainstream since the 2012 implementation of Renewable Portfolio Standard policy, and is expected to account for 60% of total new and renewable energy supply in 2035. Furthermore, wind, solar photovoltaic, and bioenergy are projected to replace current waste-oriented sources.
AB - This paper introduces the forecasting model for a new and renewable energy supply utilized in the Fourth Basic Plan for New and Renewable Energy of South Korea in 2014 and presents the estimated results. The Korean government formulated a plan for raising the new and renewable energy deployment rate to 11% by 2035, and this paper presents the development of the corresponding plan. The proposed model essentially uses a bottom-up method to reflect the characteristics of each renewable source. In addition, a competitive diffusion model, a logistic growth model, a linear regression model, and data from government planning and companies’ planned projects are used. The forecasts are classified and presented by renewable source and output type (i.e., electricity, heat, and transportation fuels). The results show that Korean new and renewable energy production will reach about 37 million tonnes of oil equivalent by 2035. In addition, the renewable electricity sector has become mainstream since the 2012 implementation of Renewable Portfolio Standard policy, and is expected to account for 60% of total new and renewable energy supply in 2035. Furthermore, wind, solar photovoltaic, and bioenergy are projected to replace current waste-oriented sources.
KW - Bottom-up approach
KW - Demand forecasting
KW - Innovation diffusion model
KW - New and renewable energy
KW - Renewable energy consumption
KW - South Korea
UR - http://www.scopus.com/inward/record.url?scp=84996920968&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2016.11.173
DO - 10.1016/j.rser.2016.11.173
M3 - Review article
AN - SCOPUS:84996920968
SN - 1364-0321
VL - 69
SP - 207
EP - 217
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -