面向创新全链条的碳捕获、利用与封存领域技术机会预测  

Forecast of Technological Opportunity in the Field of Carbon Capture,Utilization and Storage Oriented for the Entire Innovation Chain

作　　者：毛荐其[1] 陆高潮 刘娜[1] 魏延辉[1] Mao Jianqi;Lu Gaochao;Liu Na;Wei Yanhui(Shandong Technology and Business University,Yantai 264005;Beijing University of Technology,Beijing 100124)

机构地区：[1]山东工商学院工商管理学院,烟台264005 [2]北京工业大学经济与管理学院,北京100124

出　　处：《情报杂志》2025年第4期160-172,共13页Journal of Intelligence

基　　金：山东省社会科学规划研究项目“脱钩断链背景下山东制造业新质生产力培植研究”(编号:24CGLJ40)研究成果。

摘　　要：[研究目的]旨在预测CCUS领域的技术机会,涵盖基础研究、应用研究和商业化三个层面,为CCUS技术的创新发展提供系统性洞见和决策支持。[研究方法]搜集反映CCUS领域基础研究、应用研究和商业化的多源异构数据,通过改进的TextRank算法对文本数据进行关键词提取,构建多重关键词共现网络,计算单层及双层共现网络的11个相似性指标,将隐藏神经元数和训练周期数进行遍历,确定BP神经网络模型参数的最佳配置,运用最佳模型对CCUS领域基础研究、技术研发以及商业化的三个层面的技术机会进行预测。[研究结果/结论]基础研究层面识别出生态系统与碳循环研究的融合及催化作用在CO_(2)资源转化中的应用等关键方向;应用研究层面,识别了催化作用和高效CO_(2)吸收分离技术等创新潜力区域;商业化层面,突出了低碳氢的制备与存储、CO_(2)捕获运输存储与转化等商业前景。[Research purpose]The research aims to predict technological opportunities in the carbon capture,utilization and storage(CCUS)field from basic research to applied research and commercialization,to provide systematic insights and decision-making support for the innovative development of CCUS technology.[Research method]Heterogeneous data from multiple sources reflecting basic research,applied research,and commercialization in the field of CCUS are gathered.The improved TextRank algorithm is used to extract keywords from text data,construct a multi-keyword co-occurrence network,calculate 11 similarity indicators of single-layer and double-layer co-occurrence networks,traverse the number of hidden neurons and the number of training cycles,determine the optimal configuration of BP neural network model parameters.The study applies the optimal model to predict technical opportunities at three levels of basic research,technology research and development,and commercialization in the CCUS field.[Research result/conclusion]At the basic research level,the integration and catalytic role of ecosystem and carbon cycle research in the application of CO_(2) resource conversion and other key directions are identified;at the applied research level,innovative potential areas such as catalytic action and efficient CO_(2) absorption and separation technology are identified;at the commercialization level,the commercial prospects of low-carbon hydrogen production and storage,CO_(2) capture,transportation,storage,and conversion are highlighted.

关 键 词：碳捕获、利用与封存 创新链 BP神经网络 链路预测 技术机会 

分 类 号：F273.1[经济管理—企业管理]