Central air conditioner energy-saving control system and method

Abstract

The invention provides a central air conditioner energy-saving control system and method. The system comprises an energy efficiency terminal which is used for carrying out data collection, an intelligent energy controller which is used for correcting a pre-built equipment model based on the collected data, and uploading the corrected equipment model and the collected data to a cloud platform, andis also used for carrying out energy-saving control on each subsystem device based on the energy-saving control strategy received from the cloud platform, and the cloud platform which is used for calculating the optimal total energy consumption based on the collected data and the corrected equipment model, making an energy-saving control strategy and issuing the energy-saving control strategy to the intelligent energy controller when regulation and control need to be carried out. The central air conditioner energy-saving control system and method can achieve in-time accurate control over eachsubsystem of a central air conditioner, self-optimization control over the central air conditioner system is achieved, and therefore overall energy saving of the system is achieved.

Description

technical field [0001] The invention belongs to the technical field of air-conditioning system energy-saving, and in particular relates to a central air-conditioning energy-saving control system and method. Background technique [0002] Green development is a way of economic growth and social development aimed at efficiency, harmony, and sustainability. It has become a trend in the world today. Energy conservation is an important part of green development. In the total energy consumption of society, building energy consumption accounts for a high proportion, reaching about 30%, while HVAC is the main component of building energy consumption, accounting for about 65%. The energy consumption of air-conditioning systems in large public buildings is usually between 50% and 80%. At present, the energy consumption of air-conditioning systems in the building field is too high, and the energy-saving potential is huge, so it is urgent to carry out comprehensive energy-saving optimiz...

AI Technical Summary

Problems solved by technology

[0003] In recent years, local building automatic control systems have been widely deployed in air-conditioning systems in public buildings. The existing automatic control systems for central air-conditioning are not highly intelligent and accurate, and traditional PID control, fuzzy mathematics and other control methods are usually used, such as Johnson, Siemens, Honeywell, etc., at the same time rely on manual experience to control, the operation effect and energy saving effect are not good

The existing central air-conditioning control system has the following problems: 1. The original equipment model of the central air-conditioning own system is usually formed based on physical mechanism modeling, which has been preset at the factory, and its model algorithm fixed model is often solidified and cannot Corresponding changes are made with the increase of use time and changes in external factors, which cannot truly reflect the existing operating status and characteristics of the air-conditioning system; 2. The relationship between subsystems is not considered when formulating energy-saving control strategies for central air-conditioning and air-conditioning 3. The central air-conditioning system has characteristics such as nonlinearity, multi-variables, and large lag, and the actual on-site operation and maintenance personnel usually use it according to Based on the information monitored by the system, the temperature setting and the start-up and stop of the unit can be made based on experience, which cannot be adjusted accurately, and the best timing for adjustment is also missed.

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