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A system dynamics model for industrial carbon emissions in Baoding

机译:保定市工业碳排放的系统动力学模型

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Baoding, as one of the first batch of low-carbon pilot cities and heavily industrial energy consumers, faces more responsibilities to adjust industrial structure and mitigate carbon emissions. The purpose of this study is aimed at predicting and comparing industrial carbon emissions of Baoding in 11 scenarios under different policy focus, and then providing emission-cutting recommendations. In view of various scenarios issues, system dynamics has been applied to predict and simulate. To begin with, the model has been established following the step of causal loop diagram and stock flow diagram. Moreover, before we employ the model to predict and simulate, historical test is adopted via the comparison of simulated data and historical data in 2005-2013. Besides, this paper decomposes scenarios factors into energy structure, high-energy-consumption enterprises and growth rate of industrial output. The simulation results show that the prospect of carbon-emission issues in Baoding is not cheerful. Hence, some recommendations about low-carbon mode in Baoding's industrial carbon emissions have been proposed according to simulation results.
机译:保定作为首批低碳试点城市和重工业能源消费国之一,在调整产业结构和减少碳排放方面承担着更多的责任。本研究的目的是在不同政策重点下的11种情景中,对保定市的工业碳排放进行预测和比较,然后提出减排建议。鉴于各种场景问题,系统动力学已应用于预测和模拟。首先,按照因果循环图和库存流程图的步骤建立模型。此外,在我们使用该模型进行预测和模拟之前,通过对模拟数据与2005-2013年历史数据进行比较来进行历史检验。此外,本文将情景因素分解为能源结构,高耗能企业和工业产值增长率。模拟结果表明,保定市碳排放问题的前景并不乐观。因此,根据模拟结果,提出了保定市工业碳排放低碳模式的一些建议。

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