This invention discloses a prefabricated
atmospheric pressure refrigeration system, relating to the field of
refrigeration system technology. It includes: a
power grid information interaction module, used to acquire real-
time data on off-peak
electricity hours, the maximum allowable load during those hours, and
power grid load fluctuations; preprocessing the acquired data to obtain standardized
power grid data; and a cooling demand prediction module, used to calculate the hourly cooling demand assessment value for the next day based on the
system's historical hourly total
cooling capacity data, real-time environmental parameters, and the operating plans of major
terminal equipment, using a preset prediction model, and outputting the system's total cooling demand curve and peak
cooling capacity. This invention, by calculating the next day's cooling demand assessment value and combining it with historical hourly
cooling capacity, real-time temperature and
humidity, and equipment operating plans, can accurately predict the cooling demand for each time period of the next day, ensuring that cooling capacity preparation matches the actual cooling
scenario, avoiding
insufficient cooling supply that could affect production or office cooling, and also avoiding
excessive cooling capacity storage that could lead to energy waste.