Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas

Energy

Volumn 49, Issue 1, 2013, Pages 19-31

  Wu, Zhibin ^a   Xu, Jiuping ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Energy consumption; Fuzzy multi objective programming; Industrial structure; System dynamics

Indexed keywords

CARBON DIOXIDE; DECISION SUPPORT SYSTEMS; ECONOMICS; ELECTRIC LOAD FORECASTING; FORECASTING; INDUSTRIAL EMISSIONS; INVESTMENTS; OPTIMIZATION; SYSTEM THEORY;

DECISION SUPPORT MODELS; ECONOMIC DEVELOPMENT; ECONOMIC GROWTHS; EMISSION INTENSITY; ENERGY INTENSITY; ENERGY TECHNOLOGIES; FUZZY MULTIPLE OBJECTIVE PROGRAMMING; INDUSTRIAL STRUCTURES; INTEGRATED APPROACH; LOW-CARBON; MULTIOBJECTIVE PROGRAMMING; MULTIPLE OBJECTIVE PROGRAMMING; OPTIMIZATION MODELS; POLICY SUGGESTIONS; REGIONAL LEVELS; RENEWABLE ENERGIES; SYSTEM DYNAMICS; SYSTEM DYNAMICS MODEL;

ENERGY UTILIZATION;

CARBON DIOXIDE; CARBON EMISSION; ECONOMIC GROWTH; EMISSION INVENTORY; ENERGY EFFICIENCY; ENERGY PLANNING; ENERGY POLICY; ENERGY USE; ENVIRONMENTAL PROTECTION; FUZZY MATHEMATICS; INDUSTRIAL STRUCTURE; INVESTMENT; OPTIMIZATION; PREDICTION; RENEWABLE RESOURCE; SUSTAINABLE DEVELOPMENT; WORLD HERITAGE SITE;

CHINA;

EID: 84871722476     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.10.030     Document Type: Article

References (67)

1. Lin Q.G., Huang G.H. An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level. Energy 2010, 35:2270-2280.
2. Hodge B.M.S., Huang S., Siirola J.D., Pekny J.F., Reklaitis G.V. A multi-paradigm modeling framework for energy systems simulation and analysis. Computers and Chemical Engineering 2011, 35:1725-1737.
3. Warr B.S., Ayres R.U. Evidence of causality between the quantity and quality of energy consumption and economic growth. Energy 2010, 35:1688-1693.
4. Hongbo R., Weisheng Z. Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects. Applied Energy 2010, 87:3642-3651.
5. Fan Y., Xia Y. Exploring energy consumption and demand in China. Energy 2012, 40:23-30.
6. Li Y.P., Huang G.H., Chen X. Planning regional energy system in association with greenhouse gas mitigation under uncertainty. Applied Energy 2011, 88:599-611.
7. Runming Y., Baizhan L., Koen S. Energy policy and standard for built environment in China. Renewable Energy 2005, 30:1973-1988.
8. Abdeen M. Energy, environment and sustainable development. Renewable and Sustainable Energy Reviews 2008, 12:2265-2300.
9. Taiwen F., Linyan S., Ying Z. The relationship between energy consumption structure, economic structure and energy intensity in China. Energy Policy 2009, 37:5475-5483.
10. Jin H., Xu G., Han W., Gao L., Li Z. Sustainable development of energy systems for western China. Energy 2010, 35:4313-4318.
11. Li G.C., Huang C.H., Lin Q.G., Zhang X.D., Tan Q., Chen Y.M. Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management. Energy 2011, 36:3388-3398.
12. Wei Y.M., Wu G., Fan Y., Liu L.C. Progress in energy complex system modelling and analysis. International Journal of Global Energy Issues 2006, 25:109-128.
13. Nakata T., Silva D., Rodionov M. Application of energy system models for designing a low-carbon society. Progress in Energy and Combustion Science 2010, 37:462-502.
14. Suganthi L., Samuel A.A. Energy models for demand forecasting - a review. Renewable and Sustainable Energy Reviews 2012, 16:1223-1240.
15. Østergaard P.A. Reviewing optimisation criteria for energy systems analyses of renewable energy integration. Energy 2009, 34:1236-1245.
16. Aranda-Usón A., Ferreira G., Mainar-Toledo M.D., Scarpellini S., Sastresa E.L. Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors. Energy 2012, 42:477-485.
17. Dzene I., Rosa M., Blumberga D. How to select appropriate measures for reductions in negative environmental impact? Testing a screening method on a regional energy system. Energy 2011, 36:1878-1883.
18. Ito T., Chen Y.Q., Ito S., Yamaguchi K. Prospect of the upper limit of the energy demand in China from regional aspects. Energy 2010, 35:5320-5327.
19. 2 emission on the economic growth and financial development in the Sub Saharan African countries. Energy 2012, 39:180-186.
20. Vassileva I., Wallin F., Dahlquist E. Understanding energy consumption behavior for future demand response strategy development. Energy 2012, 46:94-100.
21. Wang Y. The analysis of the impacts of energy consumption on environment and public health in China. Energy 2010, 35:4473-4479.
22. Yuan C., Liu S., Xie N. The impact on Chinese economic growth and energy consumption of the global financial crisis: an input-output analysis. Energy 2010, 35:1805-1812.
23. 2 emissions and economic growth in Europe. Energy 2010, 35:5412-5420.
24. Zhang J., Deng S., Shen F., Yang X., Liu G., Guo H., et al. Modeling the relationship between energy consumption and economy development in China. Energy 2011, 36:4227-4234.
25. Alam M.J., Begum I.A., Buysse J., Huylenbroeck G.V. Energy consumption, carbon emissions and economic growth nexus in Bangladesh: cointegration and dynamic causality analysis. Energy Policy 2012, 45:217-225.
26. 2 emissions in middle east and north African countries. Energy Policy 2012, 45:342-349.
27. Sadorsky P. Energy consumption, output and trade in South America. Energy Economics 2012, 34:476-488.
28. Hamit-Haggar M. Greenhouse gas emissions, energy consumption and economic growth: a panel cointegration analysis from Canadian industrial sector perspective. Energy Economics 2012, 358-364.
29. Kankal M., AkpInar A., Komurcu M.I., Ozsahin T.S. Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables. Applied Energy 2011, 88:1927-1939.
30. Kumar U., Jain V.K. Time series models (Grey-Markov, Grey model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India. Energy 2010, 35:1709-1716.
31. Azadeh A., Saberi M., Seraj O. An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: a case study of Iran. Energy 2010, 35:2351-2366.
32. Baker K.J., Rylatt R.M. Improving the prediction of UK domestic energy-demand using annual consumption-data. Applied Energy 2008, 85:475-482.
33. 2 emissions at the national level. Applied Energy 2010, 87:2928-2937.
34. Yu S.W., Zhu K.J. A hybrid procedure for energy demand forecasting in China. Energy 2012, 37:396-404.
35. Zhu Y., Huang G.H., Li Y.P., He L., Zhang X.X. An interval full-infinite mixed-integer programming method for planning municipal energy systems - a case study of Beijing. Applied Energy 2011, 88:2846-2862.
36. Kaya A., Yalcintas M. Energy consumption trends in Hawaii. Energy 2010, 35:1363-1367.
37. Pao H.T. Forecasting energy consumption in Taiwan using hybrid nonlinear models. Energy 2009, 34:1438-1446.
38. 2 emissions, energy consumption, and economic growth in Brazil. Energy 2011, 36:2450-2458.
39. Sözen A., Gülseven Z., Arcaklioglu E. Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies. Energy Policy 2007, 35:6491-6505.
40. Ekonomou L. Greek long-term energy consumption prediction using artificial neural networks. Energy 2010, 35:512-517.
41. Toksari M.D. Estimating the net electricity energy generation and demand using the ant colony optimization approach: case of Turkey. Energy Policy 2009, 37:1181-1187.
42. Assareh E., Behrang M.A., Assari M.R., Ghanbarzadeh A. Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran. Energy 2010, 35:5223-5229.
43. AlRashidi M.R., EL-Naggar K.M. Long term electric load forecasting based on particle swarm optimization. Applied Energy 2010, 87:320-326.
44. Yu S.W., Wei Y.M., Wang K. China's primary energy demands in 2020: predictions from an MPSO-RBF estimation model. Energy Conversion and Management 2012, 61:59-66.
45. 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.
46. Fang G.C., Tian L.X., Sun M., Fu M. Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system. Energy 2012, 40:291-299.
47. 2 emission consideration. Journal of Environmental Management 2010, 91(5):1063-1070.
48. Cai Y.P., Huang G.H., Yang Z.F., Tan Q. Identification of optimal strategies for energy management systems planning under multiple uncertainties. Applied Energy 2009, 86(4):480-495.
49. Li Y.F., Li Y.P., Huang G.H., Chen X. Energy and environmental systems planning under uncertainty - an inexact fuzzy-stochastic programming approach. Applied Energy 2010, 87:3189-3211.
50. Chen W.T., Li Y.P., Huang G.H., Chen X., Li Y.F. A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty. Applied Energy 2010, 87(3):1033-1047.
51. Xie Y.L., Li Y.P., Huang G.H., Li Y.F. An interval fixed-mix stochastic programming method for greenhouse gas mitigation in energy systems under uncertainty. Energy 2010, 35:4627-4644.
52. Li Y.F., Huang G.H., Li Y.P., Xu Y., Chen W.T. Regional-scale electric power system planning under uncertainty - a multistage interval-stochastic integer linear programming approach. Energy Policy 2010, 38(1):475-490.
53. Frei C.W., Haldi P.A., Sarlos G. Dynamic formulation of a top-down and bottom-up merging energy-policy model. Energy Policy 2003, 31:1017-1031.
54. 2 emissions from the cement industry. Journal of Environmental Management 2006, 79:383-398.
55. Guneralp B., Barlas Y. Dynamic modelling of a shallow fresh water lake for ecological and economic sustainability. Ecological Modelling 2003, 167:115-138.
56. Naill R.F., Gelanger S., Klinger A., Petersen E. An analysis of cost effectiveness of US energy policies to mitigate global warming. System Dynamics Review 1992, 8:111-118.
57. Xu J., Li X. Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment. Expert Systems with Applications 2011, 38:11552-11559.
58. Xu J., Wu D., Dong R. Sustainable development and planning of coal industry under uncertainty using system dynamic and stochastic programming. International Journal of Environment and Pollution 2010, 42:371-387.
59. O'Regan B., Moles R. Using system dynamics to model the interaction between environmental and economic factors in the mining industry. Journal of Cleaner Production 2006, 14:689-707.
60. Xu J., Zhou X. Fuzzy-like multiple objective decision making. Studies in fuzziness and soft computing 2011, vol. 263. Springer-Verlag Berlin Heidelberg.
61. Yu S.W., Wei Y.M., Wang K. A PSO-GA optimal model to estimate primary energy. Energy Policy 2012, 42:329-340.
62. Marler R.T., Arora J.S. Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization 2004, 26:369-395.
63. The Leshan Bureau of Statistics. Leshan statistical yearbook (2001-2009). http://www.lstjj.gov.cn.
64. The Sichuan Bureau of Statistics Sichuan statistical yearbook 2010, China Statistics Press, Beijing.
65. 2 emissions report 2009, Science Publishing House, Beijing.
66. Kahrl F., Roland-Holst D. Growth and structure change in China's energy economy. Energy 2009, 34:894-903.
67. Zhang N., Lior N., Jin H.G. The energy situation and its sustainable development strategy in China. Energy 2011, 36:3639-3649.