Spatial-temporal pattern evolution and driving factors of China's energy efficiency under low-carbon economy

2020 ◽  
Vol 739 ◽  
pp. 140197 ◽  
Author(s):  
Yan Zhang ◽  
Wei Wang ◽  
Longwu Liang ◽  
Daoping Wang ◽  
Xianghe Cui ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Temporal Pattern ◽  
Driving Factors ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Economy

scholarly journals Increased Energy Efficiency in Brazil: an option for a low carbon economy?

2016 ◽  
Vol 20 (3) ◽  
pp. 273 ◽  
Author(s):  
Aline Souza Magalhães ◽  
Edson Paulo Domingues
Keyword(s):  
Energy Efficiency ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Economy

Um dos efeitos mais discutidos da atividade econômica sobre o meioambiente são as mudanças climáticas originadas pela acumulação de gases de efeito estufa. Nesse contexto, o Brasil confirmou metas voluntá- rias de redução de emissões e propôs Planos Setoriais de Mitigação. Um desses planos refere-se ao aumento da eficiência energética. Neste artigo estimamos o impacto dessa melhoria no uso de energia sobre a economia brasileira, considerando seus setores produtivos e famílias, assim como o potencial de redução de emissões. Os resultados obtidos mostram a relevância das políticas de eficiência energética, tanto para o crescimento da economia como para a redução de emissões

Toward a Low-Carbon Economy: Municipal Financing for Energy Efficiency and Solar Power

2009 ◽  
Vol 51 (1) ◽  
pp. 22-33 ◽  
Author(s):  
Merrian C. Fuller ◽  
Stephen Compagni Portis ◽  
Daniel M. Kammen
Keyword(s):  
Energy Efficiency ◽  
Solar Power ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Economy

scholarly journals Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7699
Author(s):  
Bryan Coyne ◽  
Eleanor Denny
Keyword(s):  
Energy Efficiency ◽  
Technology Diffusion ◽  
Electricity Demand ◽  
Level Energy ◽  
Limited Information ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Data Centre ◽  
Data Centres ◽  
Carbon Economy

Data centres are a key infrastructure for the global digital economy, helping enable the EU “Digital Decade” by 2030. In 2015, data centres were estimated to consume 2.5% of EU electricity demand. In Ireland, the concentrated presence of data centres could consume 37% of national electricity demand by 2028. The uncertainty of data centre facility-level energy efficiency paired with the need to achieve a low-carbon economy pose significant challenge for generation and transmission network planning. This is the first paper to apply a model of technology diffusion with a national forecast of changes in Irish data centre electricity demand through more efficient liquid cooling. The methodology serves as a technology-agnostic resource for practitioners performing forecasts under uncertainty with limited information. Results suggest that technology adoption could lower national electricity demand by 0.81% if adopted by new plant from 2019 to 2028. Savings rise to 3.16% over the same period if adopted by new and existing data centres. Adoption would also lower related emissions by 4.70% and 23.04% over the same period across both scenarios, respectively. Results highlight substantial potential electricity and associated emissions savings available in the sector and suggest policy options to support a transition towards a low-carbon economy.

scholarly journals Opportunities and Challenges of China’s Low-Carbon Economic Development in the New Era

2021 ◽  
Vol 275 ◽  
pp. 02058
Author(s):  
Zhang Chen ◽  
Tong Yixuan
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Driving Factors ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
Low Carbon ◽  
New Era ◽  
Low Carbon Economy ◽  
Man And Nature ◽  
Carbon Economy

In the context of the increasingly severe global greenhouse effect, the “14th Five-Year Plan” proposes to “promote green development and promote harmonious coexistence between man and nature”, which provides a new platform for the faster and better development of low-carbon countries. The low-carbon economy has entered a high-quality stage of China’s economic development in the new era, which is of great significance to the overall green transformation of China’s economic and social development. In order to assess the development level of China’s low-carbon economy, this paper estimates the carbon emissions and carbon emission intensity of energy consumption from 2008 to 2017 and applies the LMDI model to decompose the influencing factors of carbon emissions, analyzes the contribution rate of driving factors, and proposes energy saving, emission reduction and low carbon. Developmental countermeasures. The results show that economic growth and energy intensity are the biggest driving factors for promoting and suppressing carbon emissions, respectively. Measures are taken to improve energy structure, increase utilization efficiency, develop low-carbon industries, and promote low-carbon life.

The Heterogeneity of Sectors and Related Efficiency of Differential Energy Consumption

2013 ◽  
Vol 291-294 ◽  
pp. 1290-1296 ◽  
Author(s):  
Hong Wu ◽  
Fu Zhong Chen ◽  
Ping Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
National Economy ◽  
Significant Heterogeneity ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Economic Output ◽  
Secondary Industry ◽  
Differential Efficiency ◽  
Carbon Economy

Energy consumption has played great roles in the output of national economy. The proposition of low carbon economy also makes the issues about the consumption and relation efficiency to be highlighted. To investigate the efficiency of differential energy consumption along with heterogeneous sectors, the sectors and sub-sectors in Chinese secondary industry is chosen to measure the influence of energy consumption to economic output. The result indicates that the differential efficiency of varied types of energy is significant although total terminal energy consumption and related consumption in coal and oil is insignificant when without considering the heterogeneity of sectors. In addition, the significant efficiency coefficients also provide evidence to support the significant heterogeneity of sectors since the energy consumption has different effects and energy efficiency coefficients.

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