Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system

Energy

Volumn 40, Issue 1, 2012, Pages 291-299

  Fang, Guochang ^a,b   Tian, Lixin ^a   Sun, Mei ^a   Fu, Min ^a  

^a JIANGSU UNIVERSITY   (China)

^b YANCHENG INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Artificial neural network; Carbon emissions; Chaos; Economic growth; Energy intensity; Energy saving and emission reduction

Indexed keywords

CHAOS THEORY; CHAOTIC SYSTEMS; ECONOMICS; LYAPUNOV METHODS; NEURAL NETWORKS; THREE DIMENSIONAL;

BIFURCATION DIAGRAM; CARBON EMISSIONS; COEFFICIENT METHODS; DYNAMIC BEHAVIORS; DYNAMIC EVOLUTION; ECONOMIC GROWTH; ECONOMIC GROWTHS; EMPIRICAL STUDIES; ENERGY INTENSITY; HOMOCLINIC ORBITS; LYAPUNOV EXPONENT; REAL SYSTEMS; SIMULATION MODEL; SMALE HORSESHOE; STATISTICAL DATAS;

ENERGY CONSERVATION;

ARTIFICIAL NEURAL NETWORK; CARBON EMISSION; CHAOTIC DYNAMICS; ECONOMIC GROWTH; EMISSION CONTROL; EMPIRICAL ANALYSIS; ENERGY CONSERVATION; THREE-DIMENSIONAL MODELING;

CHINA;

EID: 84859110463     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.01.071     Document Type: Article

References (38)

1. Amjad S., Rudramoorthy R., Neelakrishnan S. Assessment of petroleum saving and greenhouse gas emission reduction from two-wheeler segment: 2011-2021. Transportation Research Part D 2011, 16:265-269.
2. Liao G.C. A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power. Energy 2011, 36:1018-1029.
3. Ding Y.F., Tang D.S., Wang T. Benefit evaluation on energy saving and emission reduction of National small hydropower ecological protection project. Energy Procedia 2011, 5:540-544.
4. Zhang J.J., Fu M.C., Geng Y.H., Tao J. Energy saving and emission reduction: a project of coal- resource integration in Shanxi Province, China. Energy Policy 2011, 39:3029-3032.
5. Lu X., Yu Z.F., Wu L.X., Yu J., Chen G.F., Fan M.H. Policy study on development and utilization of clean coal technology in China. Fuel Processing Technology 2008, 89:475-484.
6. Mallah S., Bansal N.K. Nuclear and clean coal technology options for sustainable development in India. Energy 2010, 35:3031-3039.
7. Nakata T., Sato T., Wang H., Kusunoki T., Furubayashi T. Modeling technological learning and its application for clean coal technologies in Japan. Applied Energy 2011, 88:330-336.
8. Chen M.S., Gu Y.L. The mechanism and measures of adjustment of industrial organization structure: the perspective of energy saving and emission reduction. Energy Procedia 2011, 5:2562-2567.
9. Guo Z.C., Fu Z.X. Current situation of energy consumption and measures taken for energy saving in the iron and steel industry in China. Energy 2010, 35:4356-4360.
10. 2 emission reduction of home appliances and commercial equipments in China. Energy Policy 2011, 39:4541-4550.
11. Liu X.L. Probing the guiding role of taxation in energy-saving and emission-reducing Technology. Energy Procedia 2011, 5:20-24.
12. Gao C.W., Li Y. Evolution of China's power dispatch principle and the new energy saving power dispatch policy. Energy Policy 2010, 38:7346-7357.
13. Guo J., Chai J., Xi Y.M. The relationship between energy consumption structure, economic structure and energy intensity in China. China Population Resources and Environment 2008, 18(4):38-43.
14. Feng T.W., Sun L.Y., Zhang Y. The relationship between energy consumption structure, economic structure and energy intensity in China. Energy Policy 2009, 37:5475-5483.
15. Mendiluce M., Pérez-Arriaga I., Ocaña C. Comparison of the evolution of energy intensity in Spain and in the EU15. Why is Spain different ?. Energy Policy 2010, 38:639-645.
16. Yoon K.H., Ratti R.A. Energy price uncertainty, energy intensity and firm investment. Energy Economics 2011, 33:67-78.
17. Duro J.A., Padilla E. Inequality across countries in energy intensities: an analysis of the role of energy transformation and final energy consumption. Energy Economics 2011, 33:474-479.
18. Liddle B. Revisiting world energy intensity convergence for regional differences. Applied Energy 2010, 87:3218-3225.
19. Chang-Jian C.W., Chang S.M. Bifurcation and chaos analysis of spur gear pair with and without nonlinear suspension. Nonlinear Analysis: Real World Applications 2011, 12:979-989.
20. Lü J.H., Chen G., Čelikovský S. Bridge the gap between the Lorenz system and the Chen system. International Journal of Bifurcation and Chaos 2002, 12:2917-2926.
21. Čelikovský S., Chen G. On a generalized Lorenz canonical form of chaotic systems. International Journal of Bifurcation and Chaos 2002, 12(8):1789-1812.
22. Sun M., Tian L.X., Fu Y., Qian W. Dynamics and adaptive synchronization of the energy resource system. Chaos, Solitons and Fractals 2007, 31:879-888.
23. Sun M., Tian L.X., Zeng C.Y. The energy resources system with parametric perturbations and its hyperchaos control. Nonlinear Analysis: Real World Applications 2009, 10:2620-2626.
24. Sun M., Wang X.F., Chen Y., Tian L.X. Energy resources demand-supply system analysis and empirical research based on non-linear approach. Energy 2011, 36:5460-5465.
25. Kooten G.C., Eagle A.J., Manley J., Smolak T. How costly are carbon offsets? A meta-analysis of carbon forest sinks. Environmental Science and Policy 2004, 7:239-251.
26. 2 emission research 2008, Science Press, Beijing.
27. Bull L., Thompson D. Developing forest sinks in Australia and the United States-a forest owner's prerogative. Forest Policy and Economics 2011, 13:311-317.
28. Böttcher H., Kurz W.A., Freibauer A. Accounting of forest carbon sinks and sources under a future climate protocol-factoring out past disturbance and management effects on age-class structure. Environmental Science and Policy 2008, 11:669-686.
29. 2 emissions in Greece. Energy 2006, 31:2638-2651.
30. Zhao M., Tian L.R., Zhang W.G., Ji M.H., Liu Y., Yu L.Z. Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method. Energy 2010, 35:2505-2510.
31. 2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews 2010, 14:3220-3225.
32. 2 emissions, energy consumption and economic growth in BRIC countries. Energy Policy 2010, 38:7850-7860.
33. Tian L.X., Sun M. Energy supply and demand system analysis 2011, Science Press, Beijing.
34. Zheng Z., Chen G. Existence of heteroclinic orbits of the Šilnikov type in a 3D quadratic autonomous chaotic system. Journal of Mathematical Analysis and Applications 2006, 315(1):106-119.
35. Murat Y.S., Ceylan H. Use of artificial neural networks for transport energy demand modeling. Energy Policy 2006, 34:3165-3172.
36. Golmohammadi H., Safdari M. Quantitative structure-property relationship prediction of gas-to- chloroform partition coefficient using artificial neural network systems. Microchemical Journal 2010, 95:140-151.
37. Yue T., Long R.Y., Zhuang Y.Y. Analysis of the FDI effect on energy consumption intensity in Jiangsu Province. Energy Procedia 2011, 5:100-104.
38. Zhang D.S., Aunan K., Seip H.M., Vennemo H. The energy intensity target in China's 11th Five- Year Plan period-local implementation and achievements in Shanxi Province. Energy Policy 2011, 39:4115-4124.