Combined with the energy storage application scenarios of big data industrial parks, the collaborative modes among different entities are sorted out based on the zero-carbon target path, and the maximum economic value of the energy storage business model is brought into play through certain collaborative measures.
Thirdly, from the aspects of Integrated Energy System Planning, hydrogen energy storage and appli-cations, CCUS (Carbon Capture, Utilization, and Storage), and other aspects of the key technologies needed for zero-carbon industrial parks are outlined.
Among the users, the productive procedures involve the use of energy such as cold, heat, electricity, and gas. The case simulation was conducted by the software, and the daily load variation curve of the big data industrial park was derived as Fig. 6.
From the standpoint of load-storage collaboration of the source grid, this paper aims at zero carbon green energy transformation of big data industrial parks and proposes three types of energy storage application scenarios, which are grid-centric, user-centric, and market-centric.
Industrial parks are the central units for the development and aggregation of industries, playing an important role in implementing China’s “dual-carbon” strategy. Zero-carbon industrial parks represent a new form of development for future industrial parks and how to build them has become a focus of current research.
Meanwhile, digital technology can be used to collect various energy data in the park, such as photovoltaic, energy storage and charging stations, enabling intelligent management and control of the park. Fig. 1.
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