Industrial Data Space Framework Design and Feasibility Analysis - A Case Study of China’s New Energy Industry

In the rapidly evolving field of new energy, technological advancements and the expansion of application scopes have underscored the importance of effective data management and analysis. However, the new energy industry faces challenges such as the imbalance in spatial and temporal distribution and the significant impact of weather on the efficiency of wind and photovoltaic power. This study, based on the actual conditions of China’s new energy industry chain, proposes an innovative data space framework aimed at accelerating the development of the new energy sector. The framework features a modular design, offering a flexible, scalable, and user-friendly solution through key processes such as data analysis, data transmission, and data governance.At the onset of the research, core requirements for data management in the new energy field were identified through an in-depth analysis of the industry background. Based on these requirements, a four-layer architecture model was constructed, comprising the data layer, analysis layer, interaction layer, and server layer. To verify the practical feasibility of the designed framework, a comprehensive study of China’s new energy industry was conducted, and a series of empirical analyses confirmed the framework’s applicability and effectiveness in Chinese new energy projects. The data space framework proposed for the new energy field in this study is technically viable. Future research will focus on further optimizing and expanding the functions of the framework, with the aim of widespread implementation and application in a broader range of new energy scenarios.