Heating energy saving control system based on differential evolution algorithm
YAN Feng
Abstract：Aiming at the problem that the energy consumption of central heating system in public buildings is high, and the automatic regulation and real-time monitoring are quite difficult, a central heating system in public buildings based on the neural network control of differential evolution algorithm was designed with the combination of digital temperature sensor, chip control technology and CAN bus technology.The system has the advantages in realizing the fast convergence and reducing the complexity of genetic algorithm, and has strong adaptive ability.The system can realize the automatic regulation and real-time network monitoring of heating flow.In order to verify the energy saving effect of the system, the proposed system was compared with the heating consumption of the traditional energy saving control system.The results show that the minimum average energy saving of the proposed system is 10.1%, and the maximum energy saving is 16.3%.And the proposed system has better energy saving effect.
Keywords：public buildingcentral heatingsensorCAN busenergy saving control systemdifferential evolution algorithmneural network
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 328-332 )