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Low carbon society scenario analysis of transport sector of an emerging economy-The AIM/Enduse modelling approach

机译:新兴经济体运输部门的低碳社会情景分析-AIM /最终用途建模方法

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The transport sector of a country is the backbone driving the economy forward. Thailand's land transport sector is modelled using the AIM/Enduse, which is a recursive dynamic optimization model, based on bottom-up modelling principle. The travel demand is divided into two major categories which are passenger travel and freight travel. The objective of this paper is to analyse the mitigation possible through low carbon society (LCS) measures and emission tax (ET). Two scenario clusters are devised along with the BAU case. The LCS scenario cluster has three designed scenarios which are LCS-L, LCS-M and LCS-H. The emission tax (ET) cluster has four scenarios, where the taxes of 50, 100, 200 and 500 USD/t-CO2 are implemented. Along with this the marginal abatement costs (MAC) of the countermeasures (CMs) and the co-benefits in terms of energy security, productivity and air pollutant mitigation are also assessed. Results show that LCS scenarios are possible of mitigating up to 1230 Mt-CO2 cumulatively, from 2010 to 2050. In terms of MACs, new vehicles play a pivotal role, along with hybrid vehicles. The Average Abatement Cost (AAC) assessment shows that the AAC of LCS-H scenario is in the order of 100 USD/t-CO2. All the LCS and ET scenarios show an enhancement in energy security and also a threefold increase in productivity. There is distinct mitigation in terms of air pollutants from the transport sector as well. (C) 2014 Elsevier Ltd. All rights reserved.
机译:一个国家的运输部门是推动经济发展的骨干力量。泰国的陆路运输部门使用AIM / Enduse建模,这是一种基于自下而上的建模原理的递归动态优化模型。出行需求分为两大类,即客运和货运。本文的目的是通过低碳社会(LCS)措施和排放税(ET)分析可能的缓解措施。与BAU案例一起设计了两个方案组。 LCS方案集群具有三个设计方案,分别是LCS-L,LCS-M和LCS-H。排放税(ET)集群有四个方案,其中分别征收50、100、200和500美元/吨CO2的税。与此同时,还评估了对策(CM)的边际减排成本(MAC)以及在能源安全,生产力和减轻空气污染物方面的共同收益。结果表明,从2010年到2050年,LCS情景有可能累计减少多达1230 Mt-CO2。就MAC而言,新车和混合动力车起着举足轻重的作用。平均减排成本(AAC)评估显示,LCS-H情景的AAC约为100美元/吨CO2。所有LCS和ET方案都显示出能源安全性的提高,生产率也提高了三倍。运输部门的空气污染物也有明显的缓解。 (C)2014 Elsevier Ltd.保留所有权利。

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