Open AccessEnergy Storage Planning of Park Energy System Based On Multi-Dimensional Digital Twin Technology
Author(s) -
Tao Xiong,
Chi Yang,
Qinglin Cheng,
Xianlong Yang,
Shu Lin
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 - 10.1088/1742-6596/2108/1/012059
Subject(s) - renewable energy , energy storage , computer science , energy (signal processing) , energy consumption , construct (python library) , energy accounting , simulation , engineering , process engineering , electrical engineering , mathematics , computer network , power (physics) , statistics , physics , quantum mechanics
The existing energy storage planning methods have the problem of imperfect equipment mathematical model, resulting in small installed capacity of renewable energy. An energy storage planning method of Park energy system based on multi-dimensional digital twin technology is designed. This article explains the basic connotation of multi-dimensional digital twin technology and park energy system, and obtains feedback information. Combined with the energy consumption of industrial users, the park’s electricity load is predicted. We used the multi-dimensional digital twin technology to construct the mathematical model of the equipment, extracted the energy conversion law, optimized the energy storage mode of the energy system, and achieved zero heat emission. Case analysis results: the average installed capacity of renewable energy after optimization is 2349.6 kW, 626.6 kW higher than that before optimization, indicating that the energy storage planning method integrating multi-dimensional digital twin technology has a broader application prospect.