A cooling tower thermal performance evaluation method and system

Abstract

The invention discloses a method and a system for evaluating the thermal performance of a cooling tower. The method is based on measurement for air temperature edge values. The method includes acquiring field operating parameters and environmental parameters of the cooling tower and determining water temperature and air temperature edge values; computing a relation between water temperature change and air temperature change and creating an air temperature edge value constraint expression; creating an evaluation model for the thermal performance of the cooling tower according to an air temperature edge value constraint relation; creating a fourth Runge-Kutta formula group according to the created evaluation model for the thermal performance of the cooling tower and computing the thermal performance of the cooling tower. The system comprises a monitoring device. The monitoring device comprises an operating parameter and environmental parameter acquisition module, a man-machine interaction module, a Flash memory module, a real-time clock module and an embedded central processing module. The method and the system have the advantages that the method and the system are favorable for evaluating the thermal performance of the cooling tower in an online manner in real time, the evaluation model is simplified on the basis of measurement for the air temperature edge values, and the computation time is greatly shortened on the premise that the evaluation precision is guaranteed as compared with an existing method for evaluating the thermal performance of a cooling tower; the method and the system are high in instantaneity and adaptability and can be widely applied to evaluating the field thermal performance of mechanical countercurrent cooling towers in real time.

Description

technical field [0001] The invention relates to a cooling tower thermal performance evaluation method and system, in particular to a cooling tower thermal performance evaluation method and system based on air temperature boundary value measurement. Background technique [0002] Since the 21st century, China's industrial systems, power plants, and central air-conditioning systems have developed rapidly, and large-scale systems need to be equipped with large-scale cooling systems to remove a large amount of waste heat. The cooling tower is an essential terminal cooling device for central air-conditioning systems, power plants and industrial systems. Its principle is to directly contact the high-temperature industrial circulating cooling water through the air, complete the heat and mass transfer process from the water to the air in the tower, and transfer the high temperature to the air. Humid air is removed from the tower, taking away part of the heat, lowering the water tempe...

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Problems solved by technology

The Merkel model is established based on assumptions, the model is simple, and the evaluation error is large, and it needs to be solved by numerical integration or iterative method. The e-NTU model introduces the number of heat transfer units to avoid numerical integration or iterative calculation, but it has the same level of evaluation error as the Merkel model. , the Poppe model evaluation results are accurate, but the model is complex, the solution process involves multiple iterations, and the evaluation time is long. The classic cooling tower thermal performance evaluation model cannot meet the requirements of high precision and small amount of calculation at the same time.

With the development of computer technology, artificial intelligence algorithms are introduced into the thermal performance evaluation of cooling towers to avoid the modeling process of cooling tower mechanisms, but a large number of training samples are required and the evaluation time is long

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