Driving forces analysis of CO2 emissions from China's electric industry based on two-phase LMDI decomposition method

2021 ◽  
Vol 13 (1) ◽  
pp. 015901
Author(s):  
Rong Li ◽  
Jun Dong ◽  
Lidan Pa
2019 ◽  
Vol 235 ◽  
pp. 612-624 ◽  
Author(s):  
Jincai Zhao ◽  
Guangxing Ji ◽  
YanLin Yue ◽  
Zhizhu Lai ◽  
Yulong Chen ◽  
...  

2020 ◽  
Vol 508 ◽  
pp. 112451
Author(s):  
Elkin Dario C. Castrillon ◽  
Yara L. Coelho ◽  
Álvaro Javier P. Agudelo ◽  
Isabela A. Marques ◽  
Eliara A. Hudson ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 764 ◽  
Author(s):  
Jaruwan Chontanawat

ASEAN is a dynamic and diverse region which has experienced rapid urbanization and population growth. Their energy demand grew by 60% in the last 15 years. In 2013, about 3.6% of global greenhouse-gas emissions was emitted from this region and the share is expected to rise substantially. Hence, a better understanding of driving forces of the changes in CO2 emissions is important to tackle global climate change and develop appropriate policies. Using IPAT combined with variance analysis, this study aims to identify the main driving factors of CO2 emissions for ASEAN and four selected countries (Indonesia, Malaysia, Philippines and Thailand) during 1971–2013. The results show that population growth and economic growth were the main driving factors for increasing CO2 emissions for most of the countries. Fossil fuels play an important role in increasing CO2 emissions, however the growth in emissions was compensated by improved energy efficiency and carbon intensity of fossil energy. The results imply that to decouple energy use from high levels of emissions is important. Proper energy management through fuel substitution and decreasing emission intensity through technological upgrades have considerable potential to cut emissions.


Author(s):  
Arindam Chakraborty ◽  
Sharif Rahman

This paper reports three multiscale models, including sequential, invasive, and concurrent models, for fracture analysis of a crack in a two-phase, functionally graded composite. The models involve stochastic description of the particle volume fractions, particle locations, and constituent material properties; a two-scale algorithm including microscale and macroscale analyses for determining crack-driving forces; and two stochastic methods for fracture reliability analysis. Numerical results indicate that the sequential and invasive multiscale models are the most computationally inexpensive models available, but they may not produce acceptable probabilistic characteristics of stress-intensity factors or accurate probability of fracture initiation. The concurrent multiscale model is sufficiently accurate, gives probabilistic solutions very close to those generated from the microscale model, and can reduce the computational effort of the latter model by more than a factor of two. In addition, the concurrent multiscale model predicts crack trajectory as accurately as the microscale model.


2002 ◽  
Vol 756 ◽  
Author(s):  
D. Carlier ◽  
A. Van der Ven ◽  
G. Ceder ◽  
L. Croguennec ◽  
M. Ménétrier ◽  
...  

ABSTRACTWe present a detailed study of the O2-LiCoO2 phase used as positive electrode in lithium batteries. This phase is a metastable form of LiCoO2 and is prepared by ionic exchange from P2-Na0.70CoO2. The O2-LiCoO2 system presents interesting fundamental problems as it exhibits several phase transformations upon lithium deintercalation that imply either CoO2 sheet gliding or lithium/vacancy ordering. Two unusual structures are observed: T#2 and O6. The T#2 phase was characterized by X-ray, neutron and electron diffraction, whereas the O6 phase was only characterized by XRD.In order to better understand the structures and the driving forces responsible for the phase transformations involved in lithium deintercalation, we combine our experimental study of this system with a theoretical approach. The voltage-composition curve at room temperature is calculated using Density Functional Theory combined with Monte Carlo simulations, and is qualitatively in good agreement with the experimental voltage curve over the complete lithium composition range. Pseudopotential and thermodynamic calculations both show that two tetrahedral sites have to be considered for Li in the T#2 structure. The calculated voltage curve thus exhibits a two-phase O2/T#2 region that indicates that this phase transformation is driven by the entropy maximization and not by a non-metal to metal transition. We also predict two ordered phases for Li1/4CoO2 (O2) and Li1/3CoO2 (O6) and show that the formation of the O6 phase is not related to Li staging or Co3+/Co4+ charge ordering.


2014 ◽  
Vol 61 ◽  
pp. 1119-1125 ◽  
Author(s):  
Zhiqiang Lv ◽  
Alun Gu ◽  
Yu Liu

2016 ◽  
Vol 100 ◽  
pp. 361-371 ◽  
Author(s):  
Andrés F. Chamorro Rengifo ◽  
Gabriel M. Dias Ferreira ◽  
Guilherme M. Dias Ferreira ◽  
Maria C. Hespanhol da Silva ◽  
Jaqueline de Paula Rezende ◽  
...  

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