Cleanliness Consumption and the Rebound Effect of Energy Efficiency

Author(s):  
Julia Sophie Woersdorfer
2018 ◽  
Vol 2 (1) ◽  
pp. 23-24
Author(s):  
Merter AKINCI ◽  
Haktan SEVİNÇ ◽  
Ömer YILMAZ

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4397
Author(s):  
Dan Yu ◽  
Bart Dewancker ◽  
Fanyue Qian

The equipment energy efficiency improvement policy (EEEIP) is one of the important measures of energy conservation and emission reduction in various countries. However, due to the simultaneous implementation of variety policies, the effect of the single policy cannot be clearly reflected. In this paper, a method of identification and evaluation of EEEIP was proposed, and the application was verified by analyzing the example of EEEIP in Japan (Top Runner policy, TRP). Firstly, through the factor decomposition model, this paper studied the energy conservation and emission reduction potential of this policy area in Japan. Then, the TRP was identified by using moving windows and correlation analysis, and the impact of specific equipment in TRP was analyzed. Finally, through the calculation of the rebound effect of the carbon footprint (REC), this paper analyzed the energy consumption and emission reduction effects of TRP in the short-term and whole life cycle. It showed that the policy has a good effect in tertiary industry and transportation, while the effect in residential is poor. For life cycle, the TRP of air conditioning and passenger car can bring better CO2 emission reduction effect, but the emission reduction effect of lighting is basically offset.


Author(s):  
Kenneth Gillingham ◽  
David Rapson ◽  
Gernot Wagner

2007 ◽  
Vol 29 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Runar Brännlund ◽  
Tarek Ghalwash ◽  
Jonas Nordström

2012 ◽  
Vol 524-527 ◽  
pp. 3101-3106
Author(s):  
Li Li ◽  
Xue Wen Lin

Since the view that energy efficiency improvement would increase rather than reduce energy consumption, so-called rebound effect, was put forward and has been the focus that is encouraging a fierce debate within mainstream economics. This paper tries to introduce an improved estimation model by efficiency share decomposed from energy intensity, based on IPAT equation to estimate the rebound effect of three major regions in Guangdong, together with redistricting Guangdong applying hierarchical clustering analysis. The result shows the average rebound effect of low-intensity high-yield area, high-intensity low-yield area, and low-intensity low-yield area, is 17.91%, 10.82% and 8.10%, correspondingly. While the empirical study provides support of existence of rebound effect, it does suggest we should not only rely on improving energy efficiency, but also using market instruments such as resources taxes, to reinforce the energy savings.


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