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Record W2136665731 · doi:10.1002/cjce.20422

The relative exergy array—a new measure for interactions in process design and control

2010· article· en· W2136665731 on OpenAlexaffvenueabout
Juan M Montelongo-Luna, William Y. Svrcek, Brent R. Young

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicProcess Optimization and Integration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanitiesExergyPhysicsControllabilityPolitical scienceMathematicsArtThermodynamicsApplied mathematics

Abstract

fetched live from OpenAlex

Abstract In this paper, we present the relative exergy array (REA), a tool to measure the relative exergetic efficiency and the controllability of a process when a proposed process and control structure is postulated. The REA is a means to compare thermodynamic efficiency for control structures of multi input–multi output processes. Although only steady‐state information is employed, it is a tool for quick comparison between several candidate process control structures. Guidelines for interpreting the results obtained from the REA are presented and explained. A case study of dual composition control of a distillation column is presented and the results discussed. Une bonne compréhension de tous les domaines du génie chimique ainsi que de nombreux aspects sont nécessaires afin de concevoir efficacement un processus chimique. Par exemple, les organismes gouvernementaux exigent que tous les secteurs d'activité respectent certaines règles en matière d'impact environnemental. L'ingénieur chimiste chargé de concevoir un processus doit prendre ces règles en compte tout en essayant de créer le meilleur processus possible afin d'optimiser les bénéfices. L'exergie peut servir à mesurer la qualité d'un système, notamment en matière d'efficacité du processus. Un processus présente une efficacité thermodynamique élevée et est par conséquent rentable et écoefficace si les valeurs exergétiques des produits issus d'un processus sont proches des valeurs des matières premières. Dans ce document, nous présentons un nouvel outil, le tableau d'exergie relative (TER) permettant de mesurer l'efficacité exergétique relative ainsi que la contrôlabilité d'un processus lorsqu'un processus et une structure de contrôle sont proposés. Le tableau d'exergie relative permet de comparer l'efficacité thermodynamique des structures de contrôle de processus à entrées multiples et sorties multiples. Bien que l'on utilise uniquement l'information de fonctionnement normal, il s'agit d'un outil utile pour comparer rapidement plusieurs structures de contrôle de processus proposées. Ce document présente et explique des directives générales d'interprétation des résultats obtenus grâce au TER. Une étude de cas d'une double structure de contrôle d'une colonne de distillation est également présentée et les résultats sont commentés. © 2010 Canadian Society for Chemical Engineering

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.002
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations28
Published2010
Admission routes3
Has abstractyes

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