In recent years, the energy consumption structure has been accelerating towards clean and low-carbon globally, and China has also set positive goals for new energy development, vigorously promoting the development and utilization of renewable energy, accelerating the implementation of renewable energy substitution actions, and focusing on improving the consumption capacity of new energy. However, due to the intermittent and unstabl. In recent years, the energy consumption structure has been accelerating towards clean and low-carbon globally, and China has also set positive goals for new energy development, vigorously promoting the development and utilization of renewable energy, accelerating the implementation of renewable energy substitution actions, and focusing on improving the consumption capacity of new energy. However, due to the intermittent and unstable characteristics of renewable energy, it is difficult to meet the demands of the power load side in practical applications. Energy storage is an important link for the grid to efficiently accept new energy, which can significantly improve the consumption of new energy electricity such as wind and photovoltaics by the power grid, ensuring the safe and reliable operation of the grid system, but energy storage is a high-cost resource. Therefore, this paper focuses on the energy storage scenarios for a big data industrial park and studies the energy storage capacity allocation plan and business model of big data industrial park. Firstly, based on the characteristics of the big data industrial park, three energy storage application scenarios were designed, which are grid center, user center, and market center. On this basis, an optimal energy storage configuration model that maximizes total profits was established, and financial evaluation methods were used to analyze the corresponding business models. Finally, taking an actual big data industrial park as an example, the economic viability. Source-grid-load-storage coordinationZero-carbonBig data industrial parkStorage scenarioAt present, with the growth of the national economy, the scale of energy consumption in China is also expanding, and the total amount of primary energy consumption increased rapidly from 2013 to 2019. Among them, the primary energy consumption is dominated by fossil energy. Over-exploitation of fossil energy sources has made the natural environment increasingly harsh. With the gradual improvement of people's requirements for quality of life, the requirements for comfort and environmental air quality are also increasingly strong. It can be predicted that future energy consumption will further increase, which will bring pressure both on protecting the environment and supplying energy.Among them, one of the main driving forces of growth for the national economy is the big data center, and the big data industrial park is an important gathering base for big data center enterprises. With its large scale and obvious brand effect, the big data industrial park itself has great economic value. Resource sharing has largely contributed to the growth of the national economy and the long-term enlargement of enterprises. However, while providing a large amount of infrastructure and public services, the park has also become a major source of carbon emissions. In all sectors of energy consumption, big data centers account for a large proportion of electricity consumption. Official data showed t. In this study, the big data industrial park adopts a renewable energy power supply to achieve the goal of zero carbon. The power supply side includes wind power generation and photovoltaic power generation and gains profits through arbitrage of peak–valley price difference. The power grid side connects the source and load ends to play the role of p. To realize zero carbon in the construction of big data industrial parks, this paper constructs three collaborative application scenarios of source-grid-load-storage. However, the construction and promotion of the zero-carbon big data industrial park are faced with problems such as an unclear profit model, a long government subsidy cycle, and uncertainty of future peak and valley electricity price policies. It is necessary to evaluate the feasibility of the three scenarios from the economic perspective, and then propose a scalable zero-carbon big data center business model combined with national policies.Based on the characteristics of the source and load of big data industrial park, this paper selects typical income and cost indicators, including financial net present value, internal rate of return, and dynamic payback period of investment, to measure the economy of three scenarios of big data industrial park. This paper analyzes the effectiveness of three main commercialization measures, namely, adjusting peak–valley electricity prices, opening a reserve market, and promoting technological progress, and puts forward the promotion suggestion of a zero-carbon big data industrial park. The logic analysis framework is shown in Fig. 4.
