Investigation of single pressure point off-line correction in matrix-solved steam pipe network model for digital twins application. (15th December 2022)

• Record Type: Journal Article
• Authors: Sun, Jilin; Zhang, Bowen; Cheng, Shouyu; Peng, Minjun
• Is Part Of: Annals of nuclear energy. Volume 179(2022)
• Publication Date: 2022-12-15
• Subjects: Digital twins -- Steam pipe-network model -- Pressure correction -- Improved particle swarm optimization algorithm -- Dynamic optimization environments; Nuclear energy -- Periodicals; Nuclear engineering -- Periodicals; 621.4805
• DOI: 10.1016/j.anucene.2022.109426
• Languages: English
• ISSNs: 0306-4549

Abstract

Highlights: Coexistence of strong coupled solving method and stable off-line correction. Improved particle swarm optimization algorithm application in nuclear system digital twins' research. Dynamic optimization environments reconfiguration based on mechanism and system state. Abstract: Matrix solving (strong coupling) and outlier solving (weak coupling) methods can be used to solve pipe network models. The latter method is widely used in digital twins applications to meet the fast correcting requirements, but is unsuitable in violent maneuvering conditions. Thus, this paper aims to solve the coexistence of strong coupling and stable off-line correction, realizing the off-line data correction of single pressure point in steam pipe network model. The pipe network model is solved by the matrix method, the pressure of one node is corrected by off-line data, and the flow properties linked to the node are optimized by the improved particle swarm optimization algorithm. It was found that the improved particle swarm optimization algorithm can optimize and correct the matrix-solved steam pipe network effectively and stably. Our study provides guidance for the process system of the digital twins model in nuclear power plants.