How can big data industrial parks improve energy storage business model?

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.

How can a big data industrial park achieve zero carbon?

Scenario design for the zero-carbon big data industrial park 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.

How can energy storage benefits be improved?

By adjusting peak and valley electricity prices and opening the FM market, energy storage benefits can be greatly improved, which is conducive to promoting the development of zero-carbon big data industrial parks, and technical advances are beneficial for reducing investment costs.

How do energy parks work?

Energy parks integrate multiple renewable energy source and storage solutions like batteries, and potentially co-locate with electricity consumers such as factories or data centers, all connected to the grid at a single point. They do this to speed up development, share costly onsite infrastructure, and directly connect complementary resources.

What are the economic indicators of big data industrial park?

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 .

Do Peak–Valley power prices affect energy storage projects?

This section sets five kinds of peak–valley price difference changes: 0.1 decreased, 0.05 decreased, 0.05 increased, 0.1 increased, investigating the economic influence of altering peak–valley power prices on energy storage projects, as shown in Fig. 8.