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首页> 外文期刊>Generation, Transmission & Distribution, IET >Carbon dioxide capture and storage planning considering emission trading system for a generation corporation under the emission reduction policy in China
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Carbon dioxide capture and storage planning considering emission trading system for a generation corporation under the emission reduction policy in China

机译：中国减排政策下考虑发电企业排放交易系统的二氧化碳捕集与封存规划

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摘要

Power generation corporations face challenges from emission reduction targets (ERTs) of government policy from the increasingly explicit demand for carbon dioxide (CO) emission reduction. CO capture and storage (CCS) is receiving considerable attention as a potential greenhouse gas mitigation option for fossil-fuelled power plants. In this study, a mathematical model is built to select the proper plants to deploy CCS under the Emission Trading System. The model considers factors such as clean energy development, fuel price fluctuation and economic level growth in the next five years to maximise the profit of the whole corporation under the premise of fulfilling the ERT in China. The Black-Scholes option pricing theory is used to analyse the investment potential amid yearly carbon price fluctuations. A discrete bacterial colony chemotaxis algorithm is then used to solve the model. The model is illustrated by an example of 11 plants with 17 units subordinated to a certain corporation in Hebei, China. The results show that the CCS planning situations in three carbon-trading scenarios and their option values can effectively provide the investment strategy references for power generation corporations.
机译：发电公司面临着来自政府政策的减排目标（ERTs）的挑战，而二氧化碳减排的需求日益明确。作为化石燃料发电厂的潜在温室气体减排方案，二氧化碳捕集与封存（CCS）受到了广泛关注。在这项研究中，建立了一个数学模型来选择在排放交易系统下部署CCS的合适工厂。该模型考虑了未来五年清洁能源发展，燃料价格波动和经济水平增长等因素，以在满足中国ERT的前提下使整个公司的利润最大化。 Black-Scholes期权定价理论用于分析年度碳价波动中的投资潜力。然后使用离散细菌菌落趋化性算法来求解模型。该模型以中国河北某公司下属的11个工厂的17个单位为例进行了说明。结果表明，三种碳交易情景下的CCS规划情况及其期权价值可以有效地为发电企业提供投资策略参考。

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