Does the industrial park have energy storage business

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.

Are big data industrial parks a zero carbon green energy transformation?

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.

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 .

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 does energy storage technology affect the economy?

The economy of energy storage is heavily influenced by the initial investment cost. Costs are falling quickly as energy storage technology advances. At present, energy storage technology in China is weak in the basic, forward-looking cross-technology field.

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.