Research on factors for energy storage station site selection

How does hydrogen energy storage affect site selection?

(4) Hydrogen energy storage is incorporated into the site selection consideration of wind-solar complementary power stations, and multiple factors such as resources, climate, economy and society are integrated, which significantly improves the scientific and reliability of site selection decisions.

What factors affect solar power station location?

In the field of solar power station location, Chen built a decision model, which integrated GIS, DEMATEL and ANP technologies, and pointed out that solar irradiance is the most critical factor affecting site selection, followed by environmental factors such as average temperature.

How can GIS help in site selection planning?

In terms of site selection planning, GIS technology can store and analyze spatial data to solve complex problems related to spatial site selection, and has been applied to the comprehensive site selection evaluation of offshore wind power generation, geothermal power generation and tidal power generation .

Why is site selection important?

The rationality of site selection is not only related to the quality of planning in the early stage of the project, but also directly affects the technical difficulty and economic cost of power grid connection, as well as the efficiency and reliability of power and hydrogen energy supply .

Should hydrogen storage devices be integrated into the power to gas system?

In recent years, the innovative practice of integrating hydrogen storage devices into the power to gas system has attracted much attention, which not only helps to reduce the abandonment of wind and solar energy, but also improves the output stability of the power system.

Can batgi energy storage meet the electricity demand of local residents?

Batgi combined thermal energy storage (TES) and hydrogen energy storage technology to build a system simulation model, and research shows that the system can effectively meet part of the electricity demand of local residents. Petrakopoulou used Grasshopper optimization algorithm to optimize system capacity allocation to reduce grid load.