Collaborative design and control method, device and equipment of heat exchanger and storage medium

By using a multi-objective collaborative optimization model and real-time monitoring and adjustment of a digital twin, the problems of heat transfer efficiency and temperature control accuracy of the heat exchanger under variable load conditions were solved, achieving efficient and reliable heat exchanger operation and improving the system's dynamic adaptability and safety.

CN121898192APending Publication Date: 2026-04-21TSINGHUA UNIVERSITY
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Patent Information

Application Number
CN202511921536.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-18
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Under variable load conditions, heat exchangers are prone to changes in fluid flow rate and velocity, leading to decreased heat transfer efficiency. Uneven flow can cause vibration, resulting in poor temperature control accuracy. Supercritical working fluids are prone to changes in physical properties and temperature pinch points. Furthermore, post-load adjustments do not take into account the adaptability to variable loads, making it difficult to achieve optimal performance, resulting in slow response and potential safety hazards.

Method used

A multi-objective collaborative optimization model is adopted, which combines digital twins and machine learning models to monitor flow, pressure and temperature in real time. Through the coordinated adjustment of bypass valves and frequency converters, optimization commands are generated to ensure that the heat exchanger dynamically adapts and maintains efficient operation throughout its entire life cycle.

Benefits of technology

It achieves efficient heat transfer of heat exchangers over a wide range of operating conditions, improves equipment reliability and lifespan, significantly increases the system's annual energy efficiency, and realizes the transformation from passive maintenance to proactive operation and maintenance.

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Abstract

The invention relates to the technical field of heat exchangers, in particular to a collaborative design and control method, device and equipment for a heat exchanger and a storage medium, and the method comprises the steps that operation data of a target heat exchanger under at least one working condition are collected, and performance coefficient data meeting preset performance conditions are output through a multi-target collaborative optimization model; after operation is conducted according to the performance coefficient data, the flow value, the pressure value and the temperature value of the target heat exchanger are collected, and a corresponding adjusting instruction is determined; and based on the digital twin body, determining performance attenuation data and / or a fault diagnosis result, further generating an optimization instruction, and controlling the target heat exchanger. Therefore, the problems that in the related technology, under the variable load working condition, when the load deviates from a design point, the heat transfer and efficiency become poor due to fluid flow and flow velocity changes, vibration is caused by uneven flow, the temperature control precision is poor, and physical property changes and temperature pinch points are prone to occurring in a supercritical working medium are solved; the post-adjustment adaptability is poor, the performance is difficult to optimize, the response is slow, and potential safety hazards exist.
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