scholarly journals An Analysis on Global Energy-Related CO2 Emission Reduction and Energy Systems by Current Climate and Energy Policies and the Nationally Determined Contributions

2018 ◽  
Vol 97 (6) ◽  
pp. 135-146
Author(s):  
Keii GI ◽  
Fuminori SANO ◽  
Takashi HOMMA ◽  
Junichiro ODA ◽  
Ayami HAYASHI ◽  
...  
2017 ◽  
pp. 1-30
Author(s):  
D. Yogi Goswami ◽  
Frank Kreith
Keyword(s):  

2009 ◽  
Vol 3 (3) ◽  
pp. 519-530 ◽  
Author(s):  
Maria Grahn ◽  
James. E. Anderson ◽  
Timothy. J. Wallington ◽  
Mats Williander

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
W. Li ◽  
S. X. Liu ◽  
Z. H. Fu ◽  
H. D. Shi ◽  
Y. L. Xie

In this study, a novel inexact two-stage stochastic robust-compensation programming (ITSP-RC) model is developed for CO2 emission reduction management under uncertainties. This model is attempted to integrate ITSP and stochastic RC programming into a general framework and apply the ITSP-RC for power management and CO2 emission reduction management, such that the developed model can tackle uncertainties described in terms of interval values and probability distributions over a two-stage context. Moreover, it can reflect dynamic and randomness of the energy systems during the planning horizon. The developed method has been applied to a case to solve CO2 emission management problem in electric supply environmental management. A number of scenarios corresponding to different adoption rate levels of carbon capture, utilization, and storage technology are examined. With the RC programming, regional energy systems would have a stable financial budget. The result suggests that the methodology is applicable for reflecting complexities of large-scale energy management systems and addressing CO2 emissions reduction issue with the planning period.


2021 ◽  
Author(s):  
Jun Yang ◽  
Hanghang Dong ◽  
Tangyang Jiang

Abstract The global greenhouse effect caused by excessive energy CO 2 emissions has seriously affected the sustainable development of the society, and energy consumption and production mainly come from industrial system and energy system. This paper used the structural decomposition analysis (SDA) and the input-output analysis to study the structural emission reduction of China's industrial and energy systems in 2007-2015. The results showed that: (1) From the analysis of structural factors, the final demand effect was the main factor to promote the growth of energy CO 2 emissions, and the energy intensity effect played a weak role in promoting the growth of energy CO 2 emissions. (2) From the perspective of energy systems, the emission reduction effect of blast furnace gas, raw coal, refinery dry gas and natural gas is obvious, while that of crude oil, gasoline, fuel oil and kerosene is not obvious. (3) From the perspective of China's industrial systems, the tertiary industry played a major role in the final demand effect, followed by secondary industries and the primary industry in turn. Finally, this paper provided a theoretical basis and realistic guiding route for the accurate and efficient emissions reduction of energy system and China's industrial system.


2021 ◽  
pp. 69-71
Author(s):  
N. Voropai ◽  
V. Stennikov

The International Scientific Conference “energy-21: sustainable development and smart management” was held in Irkutsk, Russia, on September 7-11, 2020. The Conference was organized by the Melentiev Energy Systems Institute SB RAS with the financial support of the Russian Foundation for Basic Research (RFBR) and with the participation of the Global Energy Interconnection Development and Cooperation Organization (GEIDCO), the Forum of Gas Exporting Countries, and the Global Energy Association. Over 170 attendees from 18 foreign and 69 Russian organizations from 8 countries (Russia, Qatar, China, Japan, Republic of Korea, Vietnam, Mongolia, Germany, Azerbaijan, and Uzbekistan) took part in the event. The participants presented more than 130 papers.


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