Open AccessApplication of Digital Twin Technology in Energy and Power Industry
Author(s) -
Xueqing Liang,
Shuming Du,
Xiaofan Zhao,
Chao Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2108/1/012040
Subject(s) - hvac , pid controller , computer science , controller (irrigation) , energy (signal processing) , duty cycle , control engineering , real time computing , air conditioning , temperature control , engineering , voltage , electrical engineering , mechanical engineering , agronomy , statistics , mathematics , biology
Constructing digital twin of physical entity and analyzing twin data, and transfer learning method can be used to transfer the characteristics of twin to physical entity for analysis. This paper mainly studies the application of digital twinning technology in the energy and power industry. Aiming at the energy saving and control problem of building energy demand terminal, the fuzzy adaptive PID control algorithm is used to simulate the indoor HVAC system and lighting system, so as to solve the indoor temperature and illumination intensity are greatly affected by the weather, time-varying and unpredictable factors. By comparing with the conventional PID, we can see that the fuzzy adaptive PID controller adjusts faster, the output duty ratio is more accurate, and can achieve better control effect.