A hybrid energy system model to evaluate the impact of climate policy on the manufacturing sector: Adoption of energy-ef fi cient technologies and rebound effects

被引:16
作者
Lee, Hwarang [1 ]
Kang, Sung Won [2 ]
Koo, Yoonmo [1 ,3 ]
机构
[1] Seoul Natl Univ, Coll Engn, Technol Management Econ & Policy Program, 1 Gwanak Ro, Seoul 08826, South Korea
[2] Korea Environm Inst, 370 Sicheong Daro, Sejong 30147, South Korea
[3] Seoul Natl Univ, Grad Sch Engn Practice, 1 Gwanak Ro, Seoul 08826, South Korea
关键词
Rebound effect; Hybrid model; Bottom-up model; Top-down model; Technology efficiency improvement; CO2; emission; BOTTOM-UP; TOP-DOWN; INTEGRATED ASSESSMENT; RENEWABLE ENERGY; CHINA; ECONOMY; EFFICIENCY; INDUSTRY; LINKING; CHALLENGES;
D O I
10.1016/j.energy.2020.118718
中图分类号
O414.1 [热力学];
学科分类号
摘要
Improving efficiency is an important option for reducing manufacturing sector emissions. More efficient technologies reduce energy use and emissions. However, efficiency improvements can induce unexpected effects known as rebound effects. Although previous studies have analyzed these effects, these studies fail to precisely evaluate the rebound effects due to improvements in technology efficiency. Bottom-up models are appropriate for analyzing efficiency improvements at the technology level, but they face limitations in exploring output changes because they usually assume that demand is given. In contrast, top-down models are appropriate for observing output changes in an efficiency-improving sector and in the rest of the economy, but they face limitations in explicitly describing technological changes. This study therefore constructs a hybrid model to overcome the limitations of both types of models and evaluates the impacts of climate policy in Korea's manufacturing sector when rebound effects are considered. The expected emissions reduction due to new technology adoption in the manufacturing sector is 23.8 million tons CO(2)eq without rebound effects, but when rebound effects are included, the actual emission reduction (12.7 million tons CO(2)eq) is about 50% of the expected amount. (c) 2020 The Author(s). Published by Elsevier Ltd.
引用
收藏
页数:10
相关论文
共 51 条
[1]   Cross-country electricity trade, renewable energy and European transmission infrastructure policy [J].
Abrell, Jan ;
Rausch, Sebastian .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2016, 79 :87-113
[2]   Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models [J].
Andersen, Kristoffer S. ;
Termansen, Lars B. ;
Gargiulo, Maurizio ;
Gallachoirc, Brian P. O. .
ENERGY, 2019, 169 :277-293
[3]  
Andersen KS, 2019, SQUARING ENERGY EFFI
[4]  
[Anonymous], 2016, SIM DEV TECHN PLAN E
[5]  
B_ohringer C, 2006, ENERGY J
[6]  
Bank of Korea, INP OUTP STAT 2010
[7]   The macro-economic rebound effect and the UK economy [J].
Barker, Terry ;
Ekins, Paul ;
Foxon, Tim .
ENERGY POLICY, 2007, 35 (10) :4935-4946
[8]   The macroeconomic rebound effect and the world economy [J].
Barker, Terry ;
Dagoumas, Athanasios ;
Rubin, Jonathan .
ENERGY EFFICIENCY, 2009, 2 (04) :411-427
[9]   Estimating the rebound effect in US manufacturing energy consumption [J].
Bentzen, J .
ENERGY ECONOMICS, 2004, 26 (01) :123-134
[10]   Defining the rebound effect [J].
Berkhout, PHG ;
Muskens, JC ;
Velthuijsen, JW .
ENERGY POLICY, 2000, 28 (6-7) :425-432