scholarly journals Fuel switching, energy saving and carbon trading – three ways to control carbon dioxide emissions in the Finnish forest industry

2007 ◽  
Vol 2007 (35) ◽  
Author(s):  
Aki Villa
Keyword(s):  
Carbon Dioxide ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Forest Industry ◽  
Carbon Trading ◽  
Fuel Switching ◽  
Switching Energy

scholarly journals Comparative analysis of low-energy buildings to help achieve carbon neutrality technology

2021 ◽  
Vol 261 ◽  
pp. 04035
Author(s):  
Zhizheng Zhang ◽  
Qingying Hou ◽  
Jin Tao ◽  
Hao Zhang ◽  
Xuesong Chou ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Comparative Analysis ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Low Energy ◽  
Carbon Neutrality ◽  
Building Technology ◽  
Rural Buildings ◽  
Key Technologies ◽  
Low Energy Buildings

The development of low-energy buildings is an important initiative to achieve carbon peaking by 2030 and carbon neutrality by 2060. According to the data of the relevant papers, if all the northern urban and rural buildings in China adopt passive ultra low energy building technology, it can save about 350 million tons of coal for heating and reduce about 900 million tons of carbon dioxide emissions each year. It’s of great significance to achieve the goals of “peak carbon dioxide emissions” and “carbon neutrality”. Starting from four key technologies for low-energy buildings, explanation and analysis the energy-saving methods for low-energy buildings, It also presents the challenges and suggestions for the development of low-energy buildings in China.

The Study on Community Energy Planning and Emission Reduction in China

2012 ◽  
Vol 433-440 ◽  
pp. 1442-1446 ◽  
Author(s):  
Zhi Hua Zhou ◽  
Zi Chao Tan ◽  
Guo Qiang Yang ◽  
She Ming Qiu
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Energy Structure ◽  
Regional Energy ◽  
Save Energy ◽  
Reduce Carbon Dioxide

Climate change is becoming a highlight of the world. As the world's second largest CO2 emission country, China faces increasing pressure. Energy consumption and utilizing is the major source of CO2 emissions. Optimization of the regional energy configuration can not only reduce energy consumption, but also reduce carbon dioxide emissions. Thus, it will achieve energy conservation and sustainable development. Based on the Eco-city constructed by China and Sino-Singapore, this paper calculates the regional energy-saving under the requirement of existing Energy Conservation Code, plans its energy saving quantity by taking some measurements and then predicts the carbon dioxide emission reductions. The result shows that using effective measures to save energy can reduce 227772t carbon dioxide emissions. Using renewable energy and energy saving measures will reduce 371414t CO2, which has a striking effect. So changing energy structure and using renew energy are main measures to reduce CO2 emission.

Insulation Systems and Green Sustainable Construction

2014 ◽  
Vol 1025-1026 ◽  
pp. 1031-1034 ◽  
Author(s):  
Alexey Zhukov ◽  
Yekaterina Bobrova ◽  
Dmitriy Zelenshchikov ◽  
Ruslan Mustafaev ◽  
Anastasiya Khimich
Keyword(s):  
Carbon Dioxide ◽  
Energy Saving ◽  
Natural Environment ◽  
Carbon Dioxide Emissions ◽  
Social Protection ◽  
Green Building ◽  
Sustainable Construction ◽  
Insulation Systems ◽  
Work Planning ◽  
And Performance

Insulation systems: an insulation shell of building creates terms for energy saving, reduction of carbon dioxide emissions, natural environment preservation. And it is pressing question of modern construction. The concepts of green building take into account ecology and social protection in processes of work planning and performance, including energy saving.

Energy saving of buildings for reducing carbon dioxide emissions using novel dendrite net integrated adaptive mean square gradient

2022 ◽  
Vol 309 ◽  
pp. 118409
Author(s):  
Yongming Han ◽  
Jingze Li ◽  
Xiaoyi Lou ◽  
Chenyu Fan ◽  
Zhiqiang Geng
Keyword(s):  
Carbon Dioxide ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Mean Square

Construction of the Decision Method Based on Energy Saving and Reduction of Greenhouse Gas Emissions

2014 ◽  
Vol 962-965 ◽  
pp. 1437-1443
Author(s):  
Hui Qin Dong ◽  
Hong Lin ◽  
Chao Huang ◽  
Ji Sun
Keyword(s):  
Carbon Dioxide ◽  
Power Plant ◽  
Energy Saving ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Dioxide Emissions ◽  
Topsis Method ◽  
Gas Emissions ◽  
Carbon Productivity ◽  
Igcc Power Plant

This paper intends to improve the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in view of the traditional TOPSIS method and combines with the current development of Chinese enterprises. By determining the index weights and attributes, it also constructs a new enterprise decision-making method which based on energy saving and greenhouse gas emissions. According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions. The results show that under the same circumstances, the energy consumption of IGCC power plant is lower than that of the conventional coal-fired power plants, has less carbon dioxide emissions, lower carbon intensity and higher carbon productivity. On the basis, using the improved TOPSIS method, the paper calculates the numerical superiority of two schemes and sorts of them, verified the correctness of this construction method.

scholarly journals A method to predict electric vehicles’ market penetration as well as its impact on energy saving and CO2 mitigation

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110402
Author(s):  
Shijun Fu ◽  
Hongji Fu
Keyword(s):  
Carbon Dioxide ◽  
Internal Combustion Engine ◽  
Energy Saving ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Dioxide Emissions ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Market Penetration ◽  
Carbon Dioxide Mitigation

Introduction: Although forecasting electric vehicles’ growth in China was frequently reported in the literature, predicting electric vehicles market penetration as well as corresponding energy saving and carbon dioxide mitigation potential in a more suitable method is not well understood. Methods: This study chose the double species model to predict electric vehicles’ growth trajectory under mutually competitive conditions between electric vehicles and internal combustion engine vehicles. For comparison, it set two scenarios: with 200 and 300 vehicles per thousand persons at 2050. To give details on energy saving and carbon dioxide mitigation potential induced by electric vehicles’ market penetration, it further divided electric vehicles into five subgroups and internal combustion engine vehicles into seven subgroups, therein forming respective measurement formulas. Results: This paper solved the double species model and thus got its analytical formula. Then it employed the analytical formula to conduct an empirical study on electric vehicles market penetration in China from year 2010 to 2050. Under scenario 300, electric vehicles growth trajectory will emerge a quick growth stage during 2021–2035, thereafter keeping near invariant till 2050. Meanwhile, current internal combustion engine vehicles’ quick growth will continue up to 2027, then holding constant during 2028–2040, afterwards following a 10-year slowdown period. Scenario 200 has similar features, but a 2-year delay for electric vehicles and a 5-year lead time for internal combustion engine vehicles were found. On average, scenario 300 will save 114.4 Mt oil and 111.5 Mt carbon dioxide emissions, and scenario 200 will save 77.1 Mt oil and 73.4 Mt carbon dioxide emissions each year. Beyond 2032, annual 50.0% of road transport consumed oil and 18.6% of carbon dioxide emissions from this sector will be saved under scenario 300. Discussion: Compared with scenario 200, scenario 300 was more suitable to predict electric vehicle market penetration in China. In the short-term electric vehicle penetration only brings about trivial effects, while in the long-term it will contribute a lot to both energy security and carbon dioxide mitigation. The contribution of this article provided a more suitable methodology for predicting electric vehicle market penetration, simulated two coupled trajectories of electric vehicles and internal combustion engine vehicles, and discussed relative energy-saving and climate effects from 2010 to 2050.

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