Cooling load prediction based optimal control method of ice-storage system

A control method and system optimization technology, applied in heating and ventilation control systems, heating and ventilation safety systems, heating methods, etc., can solve the problem of increasing investment costs, running out of ice in the ice storage tank, and unable to meet the peak cooling load, etc. problems, to achieve the effect of improving operating efficiency, reducing operating costs, and good economy

Active Publication Date: 2014-02-12
STATE GRID CORP OF CHINA +3
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  • Application Information

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Problems solved by technology

The existing system usually adopts the ice-melting priority or refrigerator priority control method to realize the distribution of cooling load. The ice-melting priority method is simple to control, but it will cause the ice in the ice storage tank to be used up in advance, which cannot meet the peak cooling load demand. The unit may work in a low-load state for a long time, and the efficiency is low; while the priority control method of the refrigerator requires a higher capacity of the refrigeration equipment, which increases the investment cost, and the utilization rate of the ice storage tank is low, which cannot effectively realize "peak shifting and valley filling". " and the purpose of saving operating costs

Method used

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  • Cooling load prediction based optimal control method of ice-storage system
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  • Cooling load prediction based optimal control method of ice-storage system

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Embodiment 1

[0045] figure 2 Shown is a 100% design day hourly cooling load distribution diagram of a building. The cold storage capacity of the ice storage system is designed according to 35% of the total daily cooling load of the building design. The total cold storage capacity of the ice storage tank is 6960RTH. The cooling capacity of the two refrigerating units is 516RT under the air-conditioning condition, and 435RT under the ice storage condition. The electricity price of the building is divided into four periods: peak electricity price period (11:00~12:00, 15:00~16:00), peak electricity price period (9:00~11:00, 14:00~15:00, 17:00~21:00), flat peak electricity price section (7:00~9:00, 12:00~14:00, 16:00~17:00, 21:00~23:00), low valley electricity price section ( 23:00~7:00).

[0046] The control strategy of the ice storage system is realized based on the hourly cooling load distribution of the forecasted day. According to the hourly cooling load and the corresponding temperatur...

Embodiment 2

[0054] The cold storage capacity of the ice storage system is generally designed according to more than 30% of the total daily hourly cooling load of the 100% building design. If the predicted daily hourly cooling load is less than the total cold storage capacity of the ice storage system, all cooling loads Cooling system is provided for melting ice. Under the condition that the forecast day is 25% of the design day hourly cooling load operation condition, the control strategy is as follows Figure 5 shown.

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Abstract

The invention provides a cooling load prediction based optimal control method of an ice-storage system. The method comprises the steps as follows: step one, total daily cooling load amount of an object of the ice-storage system is predicted; step two, whether the total daily cooling load amount of the object exceeds a proportion of total cold accumulation amount of the required ice-storage system is judged, if yes, a step three is executed, otherwise, the ice-storage system adopts a partial cold accumulation mode for cold supply, and then a step four is executed; step three, a corresponding cold accumulation mode is adopted for cold supply according to a priority level sequence of electricity price periods; and step four, during the electricity price valley period, the ice-storage system performs cold accumulation according to maximum cold accumulation power, and all cooling load is provided for the system by the cold accumulation amount. According to the invention, the method based on cooling load prediction and priority ordering is adopted to optimize a control strategy of the ice-storage air-conditioning system, and the economic efficiency of the operation of the ice-storage system is improved.

Description

technical field [0001] The invention belongs to the technical field of application of ice storage systems, and in particular relates to an optimal control method for ice storage systems based on cooling load prediction. Background technique [0002] As an indispensable part of large-scale buildings in modern cities, centralized air-conditioning systems consume a lot of energy, and together with industrial power loads, they cause peak power loads during power consumption periods. The ice storage system stores cold through the low-valley section at night, and releases the cold energy during the peak power consumption during the day, reducing the energy consumption of the air-conditioning and refrigeration host during the peak power consumption period. Due to the difference in peak and valley electricity prices, the ice storage system can also save the overall operating cost of the air conditioner and bring economic benefits. [0003] At present, most ice storage systems use p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00
Inventor 许高杰石坤沈敏轩李德志闫华光王鹤蒋利民李涛永黄伟何桂雄钟鸣屈博孟珺遐孙毅王正刚周宁张景超王倩
Owner STATE GRID CORP OF CHINA
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