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March 10, 20260 citationsOpen Access

A Flow Balance Index-Based Method for Evaluating the Balance Degree of Flow Allocation in Heating Networks

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BSBing SunJLJigang LiWLWenhao Li

Key Points

  • The aim is to develop a systematic framework to evaluate uneven flow allocation in district heating systems.
  • Proposed a Flow Balance Index to quantify flow distribution balance.
  • Transformed discrete flow rates into a continuous, normalized allocation curve.
  • Examined geometric concavity of the allocation curve to assess imbalance levels.
  • Constructed a parameterized branched heating network to simulate various imbalance conditions.
  • Flow Balance Index values detected global imbalance levels: 0.16 (ideal), 0.46 (mild), and 0.91 (severe).
  • The method effectively differentiated degrees of flow allocation imbalance.
  • It served as an intuitive and quantitative tool for refined regulation strategies.

Abstract

To address the critical issue of uneven flow allocation in district heating systems, this paper proposes a novel, systematic evaluation framework centered on the Flow Balance Index. The basic approach transforms discrete actual flow rates of users across the entire network into a continuous, normalized flow allocation curve. By analytically examining the geometric concavity of this curve, the overall imbalance level of the system is intuitively captured, which is further quantitatively represented by calculating the Flow Balance Index. The primary innovation of this method lies in shifting from local, point-based deviation metrics to a global, mathematical quantification of flow distribution balance by calculating the area of allocation deviation. To verify the effectiveness of this method, a parameterized branched heating network was constructed, simulating ideal balance, mild imbalance, and severe imbalance conditions. Within these simulated scenarios, the calculated Flow Balance Index successfully differentiated the varying degrees of global imbalance, yielding specific values of 0.16, 0.46, and 0.91, respectively. The results demonstrate that this method provides both an intuitive identification tool and an objective, scale-independent quantitative target for refined flow regulation strategies.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69af955970916d39fea4ccb5https://doi.org/10.3390/buildings16051068
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