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Energy saving and emission reduction of fossil energy based on low carbon economy and its consumption structure optimization

机译:基于低碳经济的化石能源节能减排及其消费结构优化

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Energy saving and emission reduction have been not only a slogan but also a policy in this modern society where the phenomenon of greenhouse is exacerbated. In this study, calculation method of carbon emission and integrated parallel acquisition technique (IPAT) scenario prediction model were combined to predict the changes of total carbon emissions, energy structure distribution, and carbon emission intensity under three measures of energy saving and emission reduction in the next ten years in Shandong, China. The results showed that the total carbon emission increased year by year, and the coal ratio and carbon emission intensity decreased under the natural scenario; the total carbon emission in the weakly constrained scenario would increase annually until 2029, the amplitude was smaller than that of the natural scenario, while the coal ratio and carbon emission intensity would decrease, and the amplitude was larger than that of the natural scenario. Under the strongly constrained scenario, the total carbon emission would increase annually before 2025, and the amplitude was smaller than the weakly constrained scenario, while the coal ratio and carbon emission intensity would decrease, and the amplitude was larger than the weakly constrained scenario.
机译:在这个加剧温室效应的现代社会中,节能减排不仅是口号,而且还是一项政策。本研究结合碳排放量的计算方法和综合并行获取技术(IPAT)情景预测模型,通过三种节能减排措施预测了碳排放总量,能源结构分布和碳排放强度的变化。未来十年在中国山东。结果表明,在自然情景下,总碳排放量逐年增加,煤比和碳排放强度下降。到2029年,弱约束情景下的总碳排放量将逐年增加,幅度小于自然情景,而煤比和碳排放强度将降低,幅度大于自然情景。在强约束情景下,总碳排放量将在2025年之前逐年增加,其幅度小于弱约束情景,而煤比和碳排放强度将降低,幅度大于弱约束情景。

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