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. 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.

[1]  Hsiao-Tien Pao,et al.  Forecasting energy consumption in Taiwan using hybrid nonlinear models , 2009 .

[2]  Desheng Dash Wu,et al.  Sustainable development and planning of coal industry under uncertainty using system dynamic and stochastic programming , 2010 .

[3]  H. Pao,et al.  Modeling and forecasting the CO 2 emissions, energy consumption, and economic growth in Brazil , 2011 .

[4]  Ying Fan,et al.  Exploring energy consumption and demand in China , 2012 .

[5]  Gordon H. Huang,et al.  Identification of optimal strategies for energy management systems planning under multiple uncertainties , 2009 .

[6]  Toshihiko Nakata,et al.  Application of energy system models for designing a low-carbon society , 2011 .

[7]  Murat Kankal,et al.  Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables , 2011 .

[8]  Guohe Huang,et al.  An interval fixed-mix stochastic programming method for greenhouse gas mitigation in energy systems , 2010 .

[9]  Ying Li,et al.  ENERGY AND ENVIRONMENTAL SYSTEMS PLANNING UNDER UNCERTAINTY—AN INEXACT FUZZY-STOCHASTIC PROGRAMMING APPROACH , 2010 .

[10]  Lixin Tian,et al.  Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system , 2012 .

[11]  K. Steemers,et al.  Energy policy and standard for built environment in China , 2005 .

[12]  Ujjwal Kumar,et al.  Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India , 2010 .

[13]  Juneseuk Shin,et al.  Long-term renewable energy technology valuation using system dynamics and Monte Carlo simulation: Photovoltaic technology case , 2014 .

[14]  Wenyi Wang,et al.  Optimizing the Regional Industrial Structure Based on the Environmental Carrying Capacity: An Inexact Fuzzy Multi-Objective Programming Model , 2013 .

[15]  Roger F. Naill,et al.  An analysis of the cost effectiveness of U.S. energy policies to mitigate global warming , 1992 .

[16]  Pierre-André Haldi,et al.  Dynamic formulation of a top-down and bottom-up merging energy policy model , 2003 .

[17]  A. Omer.  Energy, environment and sustainable development , 2008 .

[18]  Mahamat Hamit-Haggar,et al.  Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective , 2012 .

[19]  Jing Zhang,et al.  Modeling the relationship between energy consumption and economy development in China , 2011 .

[20]  Keith Baker,et al.  Improving the prediction of UK domestic energy-demand using annual consumption-data , 2008 .

[21]  Chaoqing Yuan,et al.  The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis , 2010 .

[22]  Lambros Ekonomou,et al.  Greek long-term energy consumption prediction using artificial neural networks , 2010 .

[23]  Prem Vrat,et al.  Application of a system dynamics approach for assessment and mitigation of CO2 emissions from the cement industry. , 2006, Journal of environmental management.

[24]  Hongguang Jin,et al.  The energy situation and its sustainable development strategy in China , 2011 .

[25]  M. Duran Toksarı,et al.  Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey , 2009 .

[26]  Robert U. Ayres,et al.  Evidence of causality between the quantity and quality of energy consumption and economic growth , 2010 .

[27]  Ke Wang,et al.  A PSO–GA optimal model to estimate primary energy demand of China , 2012 .

[28]  Shiwei Yu,et al.  A hybrid procedure for energy demand forecasting in China , 2012 .

[29]  H Mirzaesmaeeli,et al.  A multi-period optimization model for energy planning with CO(2) emission consideration. , 2010, Journal of environmental management.

[30]  Ali Azadeh,et al.  An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran , 2010 .

[31]  Hongguang Jin,et al.  Sustainable development of energy systems for western China , 2010 .

[32]  Jasbir S. Arora,et al.  Survey of multi-objective optimization methods for engineering , 2004 .

[33]  Shoichi Ito,et al.  Prospect of the upper limit of the energy demand in China from regional aspects , 2010 .

[34]  Xing Zhang,et al.  An interval full-infinite mixed-integer programming method for planning municipal energy systems - A case study of Beijing , 2011 .

[35]  M. R. AlRashidi,et al.  LONG TERM ELECTRIC LOAD FORECASTING BASED ON PARTICLE SWARM OPTIMIZATION , 2010 .

[36]  Poul Alberg Østergaard,et al.  Reviewing optimisation criteria for energy systems analyses of renewable energy integration , 2009 .

[37]  Gwo-Ching Liao,et al.  A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reducti , 2011 .

[38]  Jeroen Buysse,et al.  Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis , 2012 .

[39]  Pekka Ahtila,et al.  Implications of process energy efficiency improvements for primary energy consumption and CO2 emissions at the national level , 2010 .

[40]  Perry Sadorsky,et al.  Energy consumption, output and trade in South America , 2012 .

[41]  Qiong Wu,et al.  Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects , 2010 .

[42]  Lili Zuo,et al.  Predicting energy consumption of multiproduct pipeline using artificial neural networks , 2014 .

[43]  Adnan Sözen,et al.  Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies , 2007 .

[44]  David Roland-Holst,et al.  Growth and structural change in China's energy economy , 2009 .

[45]  Yaman Barlas,et al.  Dynamic modelling of a shallow freshwater lake for ecological and economic sustainability , 2003 .

[46]  Dagnija Blumberga,et al.  How to select appropriate measures for reductions in negative environmental impact? Testing a screening method on a regional energy system , 2011 .

[47]  I. Vassileva,et al.  Understanding energy consumption behavior for future demand response strategy development , 2012 .

[48]  Linyan Sun,et al.  The relationship between energy consumption structure, economic structure and energy intensity in China , 2009 .

[49]  Jiuping Xu,et al.  Fuzzy-Like Multiple Objective Decision Making , 2011, Studies in Fuzziness and Soft Computing.

[50]  Bernadette O’Regan,et al.  Using system dynamics to model the interaction between environmental and economic factors in the mining industry , 2006 .

[51]  Yi-Ming Wei,et al.  Progress in energy complex system modelling and analysis , 2006 .

[52]  A. Ghanbarzadeh,et al.  Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est , 2010 .

[53]  Ilhan Ozturk,et al.  On the relationship between energy consumption, CO2 emissions and economic growth in Europe , 2010 .

[54]  H. M’henni,et al.  Energy Consumption, Economic Growth and CO2 Emissions in Middle East and North African Countries , 2012, Social Science Research Network.

[55]  Gintaras V. Reklaitis,et al.  A multi-paradigm modeling framework for energy systems simulation and analysis , 2011, Comput. Chem. Eng..

[56]  G. Huang,et al.  An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level , 2010 .

[57]  Guohe Huang,et al.  A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty , 2010 .

[58]  Ke Wang,et al.  China’s primary energy demands in 2020: Predictions from an MPSO–RBF estimation model , 2011 .

[59]  L. Suganthi,et al.  Energy models for demand forecasting—A review , 2012 .

[60]  Yu Wang,et al.  The analysis of the impacts of energy consumption on environment and public health in China , 2010 .

[61]  Michele Moretto,et al.  Solar Grid Parity Dynamics in Italy: A Real Option Approach , 2013 .

[62]  Guohe Huang,et al.  Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management , 2011 .

[63]  Ye Xu,et al.  Regional-scale electric power system planning under uncertainty—A multistage interval-stochastic integer linear programming approach , 2010 .

[64]  Jiuping Xu,et al.  Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment , 2011, Expert Syst. Appl..

[65]  Yongxiu He,et al.  Low-carbon-oriented dynamic optimization of residential energy pricing in China , 2014 .

[66]  Usama Al-mulali,et al.  The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries , 2012 .

[67]  Guohe Huang,et al.  Planning regional energy system in association with greenhouse gas mitigation under uncertainty , 2011 .

[68]  Germán Ferreira,et al.  Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors , 2012 .

[69]  Melek Yalcintas,et al.  Energy consumption trends in Hawaii. , 2010 .