Optimal matching between CO₂ sources in Jiangsu province and sinks in Subei‐Southern South Yellow Sea basin, China

Abstract

An understanding of CO2 sources, sinks, and their optimal matching relationships is helpful when making an initial assessment or making decisions regarding CO2 sequestration. One of the most populous and developed provinces in China, Jiangsu, is facing tremendous pressure to reduce CO2 emissions. This study assessed CO2 emissions from large, stationary CO2 sources and the CO2 geological storage capacity for the Jiangsu province, and studied their optimal geographical matching relationships. The results of the study show that major, large, stationary sources have a total of 730.75 Mt/year CO2 emissions, and the majority of them are located in southern Jiangsu. The Subei‐Southern South Yellow Sea basin, with a total storage capacity of 5.21 × 104 Mt, can be subdivided into 28 storage blocks based on the faults. Source‐sink geographical matching shows that the locations of the sources and the matched sinks are approximately translational. When the entire Subei‐Southern South Yellow basin was chosen as an option for CO2 sinks, the sinks that matched to the northern Jiangsu CO2 sources were mainly located in the onshore northern Subei basin. The northern sources tended to match the north sinks of the northern Subei basin. The CO2 from the southern Jiangsu should be stored in the southern Subei basin and the offshore Southern South Yellow basin. When only the offshore storage blocks are optional CO2 sinks, the CO2 sources in the northern and central Jiangsu mainly match the sinks in the northwestern Southern South Yellow basin. The CO2 sources from southern Jiangsu mainly match the sinks in the southern and eastern Southern South Yellow basin. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

Potential assessment of CCUS source and sink and its matching research of deep unworkable seam in Huainan coalfield of China

“…In deep unworkable seam, CO 2 geological storage is mainly in adsorbed, dissolved and free states 29 . Among them, adsorption storage is the main storage form of coal seam, which is different from other geological bodies 30 . Considering the storage differences of different phase CO 2 , the following potential assessment model of CO 2 storage can be adopted 16,31 :…”

“…Based on the analysis of the industrial sources report published by the National Energy Technology Laboratory of the United States, the average capture cost of CO 2 source in coal-red power plants is 64.35 $/t 30,37 . Therefore, the capture cost of CO 2 source in Huainan coal eld can be characterized as follows:…”

“…The cost of CO 2 geological storage is closely related to the amount of CO 2 storage and the type of storage site, and the average storage cost coe cient in reservoir is 5.59 $/t 30,37 . Therefore, the cost of CO 2 geological storage in coal reservoir can be characterized as follows:…”

An optimization‐based CCUS source‐sink matching model for dynamic planning of CCUS clusters

“…Based on the region‐specific distribution characteristics of the CO 2 sources and sinks and the objective of minimizing total transport cost for implementing CCS, Zhu et al. studied the optimal geographical matching relationships between the CO 2 sources and sinks in Jiangsu province with a linear programming 19 . Wang et al.…”

“…18 Based on the region-specific distribution characteristics of the CO 2 sources and sinks and the objective of minimizing total transport cost for implementing CCS, Zhu et al studied the optimal geographical matching relationships between the CO 2 sources and sinks in Jiangsu province with a linear programming. 19 Wang et al established a source-sink matching optimization model to optimize the total mitigation costs and identify the coal-fired power plants needing CCS retrofitting under the 2°C constraint. 20 Fan et al developed a CCUS source-sink matching model by considering the constraints of CO 2 emissions, CO 2 storage potential, injection capacity of various storage sites, and transport distance in China, and the optimization model was applied to determine the CO 2 reduction potential of existing coal-fired power plants with CCUS in China.…”