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Matrix-based model of the carbon footprint analysis for thermal power generation in China

机译:基于矩阵的中国火力发电碳足迹分析模型

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With the increasing seriousness of climate change problem, carbon footprint has become a very useful method to measure carbon emissions and has been widely accepted. In modern industry, electricity is almost consumed in all industry processes, and electricity is the first "footprint" of most products. As carbon emissions is always measured by theoretical estimation from input inventory but not experimental data, the input inventory of electricity generation becomes very important in carbon footprint analysis. Electricity generation is a very complex process, where all input items inter-dependant on each other and the whole system is an infinite cycle net. But in the traditional calculation model of input inventory, the interaction effect of production system is usually neglected. The major work of this study is to make clear the carbon emissions of provision lkWh thermal power generation to consumers in China in 2006, since thermal power generation takes the most proportion of Chinese electricity. This study used a matrix-based model which includes interaction effect of the system to calculate the input inventory of electricity generation, and then the carbon emissions of thermal electricity generation in China in 2006 can be calculated. The final result of this paper can be used in carbon footprint, Life Cycle Assessment or some other related fields.
机译:随着气候变化问题的日益严重,碳足迹已成为衡量碳排放量的非常有用的方法,并已被广泛接受。在现代工业中,几乎所有工业过程都消耗电力,而电力是大多数产品的第一个“足迹”。由于碳排放量总是通过输入清单的理论估算值而非实验数据来衡量的,因此发电的输入清单在碳足迹分析中变得非常重要。发电是一个非常复杂的过程,其中所有输入项相互依赖,整个系统是一个无限循环的网络。但是在传统的投入库存计算模型中,生产系统的相互作用通常被忽略。这项研究的主要工作是弄清2006年向中国消费者提供的1kWh火力发电的碳排放量,因为火力发电占中国电力的大部分。本研究采用基于矩阵的模型,该模型包括系统的相互作用效应,来计算发电量的输入存量,然后可以计算出2006年中国火力发电的碳排放量。本文的最终结果可用于碳足迹,生命周期评估或其他一些相关领域。

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