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海南省交通运输业能源需求与碳排放预测分析

Forecasting of Energy Demands and Carbon Emission of Transportation in Hainan Province

  • 摘要: 为预测海南省交通运输业的能源需求与碳排放情况,以美国和瑞典共同开发的模型—“长期能源替代规划系统(LEAP)”和MATLAB为工具,在分析2005—2014年间海南省交通运输业能源消耗及碳排放现状的基础上,建立了海南省交通运输的能源与环境LAEP模型,同时,采用回归分析法,对海南省交通运输业的能源需求和二氧化碳排放量进行了预测,并设置了基准、结构和政策3种情境,以2010年为基准期,估测了2015—2035年交通运输的能源需求量和二氧化碳排放量.分析结果表明,在节能低碳情景下,2035年海南省的能源需求和CO2排放量显著减缓,其中能源需求的结构情境相比基准情境将降低11.45%,单位产值的CO2排放则减少15.01%.政策情境相比基准情境将降低11.08%,单位产值的CO2排放则减少12.24%.因此,调整交通运输的结构比例和从政策角度降低各终端的能源强度,有利于节能减排的实现.

     

    Abstract: To forecast the energy demands and carbon emission of transportation in Hainan Province, LEAP model (Long-range Energy Alternatives Planning System), which were developed by U.S.A and Sweden, and MATLAB, were used as the tools to analyze the situation of energy demands and carbon emission of transportation industry in Hainan Province from 2005 to 2014, and the LEAP model of Hainan Province was constructed. Regression analysis was performed to forecast the energy demands and carbon emission of transportation in Hainan Province. Three scenario, baseline, structure, and policy, were set, the energy demand and carbon dioxide emissions from 2015—2035 were estimated. The results showed that the energy demand and carbon dioxide emissions in 2035 would be declined under the energy-saving and low-carbon scenario. Compared with baseline scenario,the energy demand in the structure scenario would be reduced by 11.45%, and the emissions of carbon dioxide reduced by 15.01%. Compared with baseline scenario,the energy demand under the policy scenario would be reduced by 11.08%, and the emissions of carbon dioxide reduced by 12.24%. Therefore, adjusting the proportion of transportation industries and decreasing the energy intensity from the perspective of policy analysis are helpful for the realization of energy-saving and emission-reduction.

     

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