Discussion on the transmission mechanism of energy saving policies and measures

2013 ◽  
Author(s):  
Lixin Qiu ◽  
Lili Zhang
Keyword(s):  
Energy Saving ◽  
Transmission Mechanism ◽  
Policies And Measures

A Quantitative Study on Carbon Emission Features of Residential Building in Shenyang Based on LCP Theory

2013 ◽  
Vol 448-453 ◽  
pp. 1297-1300
Author(s):  
Lin Zeng ◽  
Tie Mao Shi ◽  
Miao Liu ◽  
Yuan Man Hu ◽  
Chang Gao
Keyword(s):  
Life Cycle ◽  
Energy Saving ◽  
Carbon Emission ◽  
Residential Building ◽  
Energy Structure ◽  
Local Energy ◽  
Low Carbon ◽  
Solid Waste Disposal ◽  
Policies And Measures ◽  
Energy Efficiency Policies

As the largest amount of building in urban architecture, residential building brings enormous greenhouse gases emissions concerning energy and resource consumption and solid waste disposal during its construction and removal. On the basis of LCP theory, the carbon emission of a residential building in Shenyang was calculated in each stage of the life cycle. The calculation shows that the carbon emission in the use and maintenance stage accounts for 86%, the biggest proportion in its life cycle. The carbon emission of one square meter reaches 45.27kgCO2/(m2·y), higher than other cities in China. So the potential for Shenyang to save energy and reduce carbon is considerable. The low carbon objective can be achieved through reducing the use of fossil energy, improving residents energy saving awareness in the use stage and enforcing energy efficiency policies and measures. Meanwhile, from the perspective of research methodology, the carbon emission of a building is regionally featured. For instance, electric carbon emission coefficient is substantially influenced by local energy structure; the distance between building material production and transportation in different places is different; the carbon emission caused by the energy consumption during the usage of the building is closely associated with local energy saving policies and regulations.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

2008 Economy Results: The End of the "Fat" Years

2009 ◽  
pp. 4-25 ◽  
Author(s):  
B. Zamaraev ◽  
A. Kiyutsevskaya ◽  
A. Nazarova ◽  
E. Sukhanov
Keyword(s):  
Economic Crisis ◽  
National Economy ◽  
Banking System ◽  
Housing Markets ◽  
Transmission Mechanism ◽  
Economic Conditions ◽  
Basic Change ◽  
Russian Economy ◽  
The World

The article analyzes the current economic conditions in Russia. Succession, distribution and the transmission mechanism of the world financial and economic crisis to the Russian economy are considered in this article as well as the changes in the banking system, share and housing markets. Production, consumption and investment on the boundary of 2008-2009 are described. The conclusion about the basic change of conditions of national economy development is presented.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Sign in / Sign up

Export Citation Format

Share Document