The invention discloses an
assembly type normal-pressure heating and refrigerating
system, and relates to the technical field of
building energy supply. Comprising an intelligent
power grid linkage platform which is used for obtaining a
power grid data set, a power generation energy
data set and an
equipment state data set in real time and preprocessing the obtained
power grid data set, power generation energy data set and
equipment state data set to obtain standardized fusion data; and the regional supply and demand prediction module is used for dividing regions according to functional attributes and establishing an independent
energy consumption feature
library. The characteristics of photovoltaic midday output peak and
wind power night output stability are dynamically matched, cold and heat storage region division and
energy storage rhythm in a single tank are adjusted by combining regional demands of heating,
refrigeration and domestic hot water in the next day, photovoltaic
electric energy can preferentially drive midday
cold storage,
wind power energy is efficiently used for night heat storage, and the energy efficiency is improved. And meanwhile, cold and hot fluid storage in the tank is more suitable for the next-day
energy consumption scene,
energy loss caused by cold and hot mixing is avoided, and
new energy consumption and peak shifting and valley filling values are fully exerted.