MétaCan
Menu
Back to cohort

Bidirectional District Heating Network Pipe Model Based on Circuit Equivalents

2025· article· W4416125030 on OpenAlexaff
Yizhong Hu, Jalal Dadkhah, Janesh Rupasinghe, Yi Zhang

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsRTDS Technologies (Canada)
Fundersnot available
KeywordsEquivalent circuitNetwork modelElectronic circuitFlow (mathematics)Heat pipeElectrical networkElectric networkThermalVoltage

Abstract

fetched live from OpenAlex

This paper reports the implementation of the district heating network pipe model in the Real-Time Digital Simulator (RTDS<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup>). An equivalent-circuit-based pipe model, which consists of multiple resistors, capacitors, voltage sources and current sources, has been adopted as it solves both hydraulic and thermal calculations via solving electric circuits. This paper further improves the existing model to be more practical by integrating those individual components into a single model with bidirectional flow feature. The proposed pipe model can be easily connected to other heating network components that are modelled using equivalent circuits or input-output approaches. Validation tests show the improved model gives the same result as the original one.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.227
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicIntegrated Energy Systems OptimizationFrench-language works237,207