基于实物期权和多期源汇匹配的电厂离岸碳封存:中国东部沿海案例研究

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摘要

碳捕集利用与封存(CCUS)已成为电力行业减少二氧化碳排放的关键战略,尤其是在中国东部沿海被忽视的海上封存领域。尽管潜在成本高、投资不可逆、开发周期长,但海上封存仍具有广阔前景。考虑到排放源之间的自主决策,本研究为燃煤和燃气电厂量身定制了一个二氧化碳海上封存投资决策模型。利用实物期权模型对离岸封存源汇匹配模型进行创新,并引入管网优化模型,从而探索出最优投资时机下的现实源汇匹配策略。研究结果表明,在浙江省 154 个大型固定排放源中,利用钱塘江、闽江和福州洼地进行海上封存可减少 CO2 排放 4.59 Gt。实施海上封存在经济上是可行的,全过程单位成本为 368.8 元人民币/吨二氧化碳,主要由捕集成本决定。碳税-补贴混合政策既能促进碳减排,又能提高经济效益,与单一政策相比,能更有效地激励排放源投资海上封存。在 250 元人民币/吨 CO2 的混合政策价格下,预计到 2048 年,所有 27 个选定的排放源都将投资海上封存,并优先选择钱塘江坳陷作为封存地点。该研究为大规模部署海上封存提供了重要的技术支持和指导。
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Offshore carbon storage from power plants based on real option and multi‐period source‐sink matching: A case study in the eastern coastal China
Carbon capture utilization and storage (CCUS) emerges as a pivotal strategy for CO2 reduction in the power sector, particularly focusing on the overlooked domain of offshore storage along China's east coast. In spite of the potential high costs, irreversible investments, and lengthy development, offshore storage can still be prospective. Considering autonomous decision-making among emission sources, this study pioneers a CO2 offshore storage investment decision model tailored for coal-fired and gas-fired power plants. Innovating an offshore storage source-sink matching model with a real options model and introducing a pipeline network optimization model allows a realistic source-sink matching strategy to be explored under optimal investment timing. According to the results, among 154 large stationary emission sources in Zhejiang Province, offshore storage could reduce CO2 emissions by 4.59 Gt, utilizing the Qiantang, Minjiang, and Fuzhou depressions. It is economically feasible to implement offshore storage with a whole-process unit cost of 368.8 CNY/tCO2, mainly dominated by capture costs. A hybrid carbon tax-subsidy policy promotes carbon reduction and economic benefits, offering a more effective incentive for emission sources to invest in offshore storage than a single policy. At a hybrid policy price of 250 CNY/tCO2, all 27 selected emission sources are projected to invest in offshore storage by 2048, with a preference for the Qiantang depression as the storage site. Practically, this study provides important technical support and guidance for the large-scale deployment of offshore storage.
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