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

Energy consumption and efficiency are important in regional low-carbon economic development and environmental protection. This paper provides a system dynamics and fuzzy multi-objective programming integrated approach for the prediction of energy consumption and CO2 emissions at a regional level. Fi...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 49; no. 1; pp. 19 - 31
Main Authors: Wu, Zhibin, Xu, Jiuping
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.01.2013
Elsevier
Subjects:
Applied sciences
carbon dioxide
China
CO2 emissions
decision support systems
economic development
emissions factor
Energy
Energy consumption
Energy. Thermal use of fuels
environmental protection
Exact sciences and technology
Fuzzy multi-objective programming
greenhouse gas emissions
Industrial structure
issues and policy
prediction
System dynamics
water power
China
China, People's Rep
Energy consumption
Industrial structure
System dynamics
CO2 emissions
Fuzzy multi-objective programming
Electric power consumption
Dynamical system
Optimization
Multiobjective programming
ISSN:0360-5442
Online Access:Get full text
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Summary:Energy consumption and efficiency are important in regional low-carbon economic development and environmental protection. This paper provides a system dynamics and fuzzy multi-objective programming integrated approach for the prediction of energy consumption and CO2 emissions at a regional level. First, a general system dynamics model is constructed to analyze an economy-energy system. To deal with the uncertainties and optimize the parameters in the system, a fuzzy multiple objective programming model is used. This decision support model is then applied to predict the energy consumption of a world heritage area in China during 2010–2020. The results reveal that the energy consumption and CO2 emissions increase dramatically with rapid economic growth. In the scenario herein considered, which is based on the proposed optimization model, a 19.32% reduction was found in the energy intensity decreases from 0.88 tce/104 RMB to 0.71 tce/104 RMB, and a 23.26% reduction in the CO2 emission intensity, from 2.15 t/104 RMB to 1.65 t/104 RMB. Policy suggestions such as adjusting the industrial structure, enhancing local hydro-power and renewable energy and increasing investment in energy technology and efficiency are indicated for the promotion of a low-carbon oriented economy in world heritage areas. ► A general system dynamics model is constructed to analyze an economy-energy system. ► A FMOP approach is presented to optimize the parameters in the system. ► The decision support model is applied to predict the energy consumption of a world heritage area in China. ► Suggestions are given to promote a low-carbon oriented economy in world heritage areas.
Bibliography:http://dx.doi.org/10.1016/j.energy.2012.10.030
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ISSN:0360-5442
DOI:10.1016/j.energy.2012.10.030