Energy-saving operation optimization scheduling method for air conditioning system
A technology for air conditioning system and operation optimization, applied in the direction of machinery and equipment, etc.
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[0087] Example 1: Such as figure 1 , 2 As shown, an optimized scheduling method for energy-saving operation of an air conditioning system includes the following steps:
[0088] S1: According to the energy consumption status of each device in the air conditioning system, construct a total objective function to calculate and minimize the total energy consumption, the formula is as follows:
[0089]
[0090] In the formula: x is the load rate of each equipment, and the value is [0~1]; k is the number of each equipment type, determined by the composition of the system equipment, and the value is [a~d]; j is the number of k equipment, which is determined by the system The number of equipment is determined, and the value is [1~m]; i is the operating time of each equipment, and the value is [1~24];
[0091] S2: Input the predicted load Q to be distributed i , Sort the devices according to the priority order of peak price in the timetable, and judge the forecast load Q i Whether it is highe...
Example Embodiment
[0151] Example 2: As attached Figure 7 , As shown in Table 1 to Table 7, the building air conditioning system of an international hotel in Hefei consists of two centrifugal chillers, two vacuum gas boilers, two sets of cooling towers (each set of 3) and cold and hot water pumps (refrigeration, cooling , Three hot water pumps each). Its system form is like Figure 7 Shown. The calculation method of optimized operation strategy proposed by the present invention is used to calculate specific daily load distribution. The calculation results are shown in the attached Tables 1 to 4, and the output results show that the present invention has achieved the design goals. The invention can adjust the parameters according to the actual project and realize the purpose of energy saving and cost saving. In Table 1, the colors from dark to light indicate peak electricity price, flat electricity price and valley electricity price respectively.
[0152] The above technical features constitute ...
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