Investigation of thermal-hydraulic coupling impact on transient modeling of steam flow in integrated energy systems

Transient modeling is essential for characterizing multi-energy flow dynamics in integrated energy systems, yet typically relies on the thermal-hydraulic decoupling assumption to ensure computational efficiency. This study develops a steam transient analytical model (STAM) to systematically evaluate the applicability boundaries of thermal-hydraulic decoupling. Through statistical analysis of actual industrial steam data, this study compares coupled numerical simulations against decoupled STAM solutions across diverse steam temperature fluctuations. Case#1 examines a single pipeline under 16 operational scenarios, quantifying decoupling applicability ranges via error curve fitting and revealing dominant error sources. Case#2 further validates the decoupling assumption under actual parameter fluctuations through a 24-node steam network. Key findings demonstrate: (1)The dominant steam parameter contributing to STAM errors varies under different baseline pressures; (2) Although thermal-hydraulic decoupling becomes invalid in low-pressure pipelines experiencing sudden pressure changes, it remains applicable under all other conditions at an average amplitude threshold of 11.66 % for temperature fluctuations; (3) Parameter fluctuations in operational energy systems exhibit irregular yet bounded characteristics, and the thermal-hydraulic decoupling assumption in STAM demonstrates applicability in the investigated steam network case study. This research provides critical references for the deployment of transient modeling in various scenarios.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-08-08
DOI
https://doi.org/10.1016/j.csite.2025.106850
Primary Topic
Superconducting Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of thermal-hydraulic coupling impact on transient modeling of steam flow in integrated energy systems

Xiaojie Lin, Meng Yuan, Long Huang, Xiaolei Yuan et al.
Case Studies in Thermal Engineering
Superconducting Materials and Applications
article

Investigation of thermal-hydraulic coupling impact on transient modeling of steam flow in integrated energy systems

Xiaojie Lin, Meng Yuan, Long Huang, Xiaolei Yuan, Long Jiang, Wei Zhong, Liuliu Du-Ikonen
article en

Abstract

Transient modeling is essential for characterizing multi-energy flow dynamics in integrated energy systems, yet typically relies on the thermal-hydraulic decoupling assumption to ensure computational efficiency. This study develops a steam transient analytical model (STAM) to systematically evaluate the applicability boundaries of thermal-hydraulic decoupling. Through statistical analysis of actual industrial steam data, this study compares coupled numerical simulations against decoupled STAM solutions across diverse steam temperature fluctuations. Case#1 examines a single pipeline under 16 operational scenarios, quantifying decoupling applicability ranges via error curve fitting and revealing dominant error sources. Case#2 further validates the decoupling assumption under actual parameter fluctuations through a 24-node steam network. Key findings demonstrate: (1)The dominant steam parameter contributing to STAM errors varies under different baseline pressures; (2) Although thermal-hydraulic decoupling becomes invalid in low-pressure pipelines experiencing sudden pressure changes, it remains applicable under all other conditions at an average amplitude threshold of 11.66 % for temperature fluctuations; (3) Parameter fluctuations in operational energy systems exhibit irregular yet bounded characteristics, and the thermal-hydraulic decoupling assumption in STAM demonstrates applicability in the investigated steam network case study. This research provides critical references for the deployment of transient modeling in various scenarios.

Case Studies in Thermal EngineeringVol. 74
Zhejiang Energy Research Institute (CN), Shanghai Advanced Research Institute (CN), Lappeenranta-Lahti University of Technology (FI), Xi’an Jiaotong-Liverpool University (CN), Zhejiang University (CN), Aalto University (FI)
National Natural Science Foundation of China, Zhejiang University, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 81%
Superconducting Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.