New energy combined cooling heating and power system user energy consumption evaluation method based on cloud model
A technology of combined cooling, heating and power supply and system users, which is applied in the direction of resources, data processing applications, instruments, etc., can solve the problems of weight method evaluation result deviation, single evaluation method, and inconsistent evaluation of user energy consumption, and achieve weight The effect of objective and reasonable solution and accurate weight results
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Embodiment 1
[0040] In one or more implementations, a method for evaluating user energy consumption of new energy combined cooling, heating and power systems based on cloud models is disclosed. Refer to figure 1 ,include:
[0041] (1) Obtain the total power supply, heat supply and cooling power of the system and the demand power data of the corresponding loads respectively.
[0042] (2) According to the obtained data, calculate the electricity load satisfaction rate, heat load satisfaction rate, and cooling load satisfaction rate index respectively, and use them as evaluation indicators; the evaluation indicators also include electricity satisfaction, heat satisfaction, and cooling satisfaction .
[0043] Specifically, electricity satisfaction, heat satisfaction, cooling satisfaction, electricity load satisfaction rate, heat load satisfaction rate, and cooling load satisfaction rate are determined as evaluation indicators;
[0044] Among them, the data of electricity satisfaction, heat s...
Embodiment 2
[0122] In one or more implementations, a cloud-based model-based new energy cooling, heating and power system user energy evaluation system is disclosed, including:
[0123] A device for separately obtaining the total power supply, heating and cooling power of the system and the demand power data of the corresponding load;
[0124] A device for calculating the electricity load satisfaction rate, heating load satisfaction rate and cooling load satisfaction rate respectively according to the acquired data, and using them as evaluation indicators; the evaluation indicators also include electricity satisfaction, heat satisfaction and cooling satisfaction ;
[0125] A device for solving the weights of each evaluation index by using the AHP and the coefficient of variation method respectively, based on the weights of each evaluation index obtained by the above two methods, and using game theory to solve the comprehensive weight of each evaluation index;
[0126] A device for calcul...
Embodiment 3
[0130] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program realizes a new energy cooling, heating and power cogeneration method based on the cloud model in the first embodiment. For the sake of brevity, details are not repeated here.
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