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5 results about "Ice storage air conditioning" patented technology
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Ice storage air conditioning is the process of using ice for thermal energy storage. This is practical because of water's large heat of fusion: one metric ton of water (one cubic metre) can store 334 megajoules (MJ) (317,000 BTU) of energy, equivalent to 93 kWh (26.4 ton-hours).
The invention provides an ice storageair conditioningsystem and a control method thereof, particularly relates to the technical field of air conditioners, and is used for switching working modes so as to reduce the power consumption cost of the ice storageair conditioningsystem under the condition that the cold consumption requirement is met. The ice storage air-conditioning system comprises a main machine, wherein the main machine comprises a refrigerating loop consisting of a compressor, a condenser, a first throttling device and an evaporator; the ice storage system comprises an ice storage tank, a second throttling device and a refrigerant pump; the switching assembly is used for controlling at least one of the following items: the second end of the ice storage tank is communicated with the first input end of the compressor, the second end of the ice storage tank is communicated with the refrigerant output end of the evaporator, and the refrigerant output end of the evaporator is communicated with the first input end of the compressor; therefore, the ice storage air-conditioning system can be in any one of the following working modes: a main machinerefrigeration mode, an ice storage system refrigeration mode, an ice making mode, a main machine and ice storage system combined refrigeration mode and a main machine refrigeration and ice making mode.
The application discloses an ice storage air conditioner operation scheduling method based on variable air volume control. Historical statistical data of city refrigeration load are acquired, and then a building internal setting temperature curve is fitted, and a load typical operation scene is generated based on the historical statistical data of city refrigeration load; the building internal setting temperature curve is constrained according to preset human comfort boundary conditions, upper and lower boundary curves of the building internal setting temperature curve are obtained, and then are converted into a building refrigeration demand curve; a model constraint condition is constructed according to the building refrigeration demand curve, and then an ice storage air conditioner operation optimization model based on variable air volume control is constructed; the load typical operation scene is input into the ice storage air conditioner operation optimization model based on variable air volume control to obtain a scheduling result. The application can further release the regulation potential of the ice storage air conditioner, expand the power systemdemand response load resource pool, and improve the supply and demand balance ability of the power grid to cope with the randomness and fluctuation of new energy output.
This invention discloses a microgrid collaborative optimization scheduling method and system. The method includes: establishing mathematical models of various equipment units in the microgrid, including wind power generation systems, photovoltaic power generation systems, energy storage systems, diesel generators, electric vehicle clusters, and ice storageair conditioning; constructing an optimization objective function with the goal of minimizing the total operating cost of the system; setting system constraints, including power balance constraints, equipment power constraints, energy storage constraints, electric vehicle SOC constraints, and ice storageair conditioning capacity constraints; adjusting the operating parameters of the mathematical models of each equipment unit under the premise of satisfying the system constraints, so that the optimization objective function reaches its minimum value; and optimizing the scheduling of each equipment unit based on the solved operating parameters. The advantages of this invention are: fully leveraging the collaborative scheduling potential of emerging schedulable resources such as electric vehicle clusters and ice storageair conditioning systems, and effectively addressing the uncertainties of renewable energy.