Research on CO 2 emissions from China's electric power industry based on system dynamics model

Wei Sun, Jingmin Wang and Yadi Ren

International Journal of Industrial and Systems Engineering, 2016, vol. 22, issue 4, 423-439

Abstract: In China, over 40% of national CO₂ emissions originate from the power industry, which plays a vital role in emissions reduction. In this paper, we present a system dynamics model based on dynamic interactions among system influential components to analyse CO₂ emissions from power electric power industry under three designed scenarios. Simulations results indicate that the total power CO₂ emissions show an increasing trend on the whole. Due to the implementation of low-carbon electricity measures, the growth rate of power CO₂ emissions in low-carbon development scenario and intensive low-carbon development scenario is much lower than that of basic scenario. A 13.19% reduction of the power CO₂ emissions can be achieved in the year 2020 based on low carbon scenario and 27.53% reduction on intensive low carbon scenario. The projections demonstrate the effect of the system dynamic model in serving as a decision making tool in the low carbon electric industry process. Some instructive transition measures to low carbon power industry have provided for power industry's carbon emission profiles.

Keywords: power industry; carbon dioxide; CO2; carbon emissions; system dynamics; modelling; low carbon development; electricity industry; China; simulation. (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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