Valve failure detection of the long-distance district heating pipeline by hydraulic oscillation recognition: A numerical approach

Jingjing Yan, Huan Zhang, Yaran Wang, Lijun Zheng, Xinyong Gao and Shijun You

Energy, 2022, vol. 261, issue PA

Abstract: The long-distance district heating pipeline (LDHP) system can deliver waste heat from suburban areas to urban areas. Valve-induced hydraulic oscillation caused by valve failure will lead to large fluctuations of pressure, which may also result in pipeline rupture of the LDHP system. Fast and accurate detection of the faulty valve is a necessary measure for efficient repair and adjustment of the LDHP system. In this paper, the hydraulic transient model of the LDHP system based on the distributed parameter method is combined with the Particle Swarm Optimization algorithm to realize fast and accurate detection of the location and status of faulty valve, by recognizing the faulty valve-induced hydraulic oscillation in the LDHP. The effectiveness of the detection algorithm is verified by numerical simulation of a 20 km LDHP system, and the effects of instrumental error and sampling period on the robustness of the algorithm are investigated. Results show that when the sampling period is less than 10 s, the relative errors of the detected location and opening of the faulty valve are less than 8% and 0.1%, respectively. Therefore, the faulty valve-induced hydraulic oscillation in the LDHP can be effectively detected based on the method proposed in this paper.

Keywords: Valve failure detection; Long-distance district heating pipeline; Hydraulic oscillation; Numerical simulation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222021752
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222021752

DOI: 10.1016/j.energy.2022.125291

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().