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.

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 .

Does energy storage have time and space rules?

When energy storage is involved in market operation, it has certain time and space rules.

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.

How does particle swarm optimization affect energy storage capacity?

Based on the forecast results of the daily generation curve and daily load curve, the particle swarm optimization algorithm was employed to allocate energy storage capacity in terms of local power balance and local power storage and local power balance and residual power storage, separately.