高俊莲,张博,张国生,刘合.数字经济时代我国能源模型的创新发展研究[J].中国科学院院刊,2024,39(8):1336-1347.

数字经济时代我国能源模型的创新发展研究

Innovative development of China’s energy models in digital economy era

高俊莲^1,2
中国矿业大学(北京) 管理学院 北京 100083;湘江实验室 长沙 410205
GAO Junlian^1,2
School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China;Xiangjiang Laboratory, Changsha 410205, China
张博^3*
厦门大学 管理学院 厦门 361005
ZHANG Bo^3*
School of Management, Xiamen University, Xiamen 361005, China
张国生⁴
中国石油勘探开发研究院 北京 100083
ZHANG Guosheng⁴
Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
刘合⁵
多资源协同陆相页岩油绿色开采全国重点实验室 大庆 163712
LIU He⁵
National Key Laboratory for Green Mining of Multi-resource Collaborative Continental Shale Oil, Daqing 163712, China

         能源模型;能源战略;数字技术;数字经济

        energy models;energy strategy;digital technology;digital economy

        数字经济时代，爆炸式增长的海量数据和新兴技术为能源模型研发带来了新机遇与新挑战。文章立足能源模型发展的历史脉络与当前动向，重新审视了能源模型的基本内涵及其狭义和广义之分，并从全球视角分别剖析了两类模型的最新研究进展与技术前沿。聚焦国内实践，阐明了数字经济时代我国能源模型研发亟待解决的包括实现自主创新、契合国情、服务“双碳”目标和加速数字技术赋能在内的诸多现实需求，以及面临的数字处理能力水平不足、数据共享壁垒和模型理论技术创新难度升级等系列挑战。最后，文章从提升能源模型的综合集成能力，构建中国特色能源模型学科体系，改善能源模型的可靠性、实用性与灵活性，以及加快能源模型领域的人才培养与开发等4个方面，提出了数字经济背景下推动我国能源模型研发及创新应用的相关建议。

        In the era of the digital economy, the explosive growth of massive data and emerging technologies has brought new opportunities and challenges to the development of energy models. This study is grounded in the historical context and current trends of energy model development, revisits the basic connotations of energy models and their narrow and broad distinctions, and analyzes the latest research progress and technological frontiers of both types of models from a global perspective. Focusing on domestic practices, it clarifies the urgent needs for China’s energy model development in the digital economy era, including achieving independent innovation, aligning with national conditions, serving the “dual carbon” strategy, and accelerating the empowerment of digital technology. Meanwhile, this area also faces several challenges such as insufficient digital processing capabilities, barriers to data sharing that need to be overcome, and increased difficulty in model theoretical and technological innovation. From the perspectives of enhancing the integrated capability of energy models, constructing a discipline system of energy models with Chinese characteristics, improving the reliability, practicality, and flexibility of energy models, and accelerating talent cultivation and development in the energy model field, it is proposed that relevant suggestions for promoting the development and innovative application of China’s energy models in the context of the digital economy.