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Record W4400360929 · doi:10.20998/2078-5364.2024.2.02

COMPLEX THERMAL INTEGRATION OF THE RECTIFICATION PROCESS OF THE BENZENE-TOLUENE MIXTURE

2024· article· en· W4400360929 on OpenAlex
Igor Ryshchenko, S. М. Bykanov, K. О. Gorbunov, A. M. Myronov, M. V. Ilchenko

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIntegrated Technologies and Energy Saving · 2024
Typearticle
Languageen
FieldChemistry
TopicChemical Thermodynamics and Molecular Structure
Canadian institutionsnot available
Fundersnot available
KeywordsTolueneBenzeneRectificationProcess (computing)Process engineeringThermalChemical engineeringMaterials scienceChemistryComputer scienceOrganic chemistryThermodynamicsEngineeringPhysicsProgramming language

Abstract

fetched live from OpenAlex

Comprehensive thermal integration of the benzene-toluene mixture rectification process was carried out. Thermal integration was carried out using pinch analysis methods with using thermocompression. The principle technological scheme of rectification of the benzene-toluene mixture with a productivity of 11 t/h is taken as a basis. For this performance, the consumption of flows, their temperatures, heat load, and flow heat capacities are calculated on the basis of the material and heat balance. Based on the calculated data, a flow table was created. Three hot streams are selected for integration: the distillate, the tailings, and the vapor from the top of the column, and two cold streams: the initial mixture and the column cube. The necessary degree of vapor compression is calculated for thermocompression. For a given degree of compression, the temperature of the steam after compression and the temperature of its condensation were calculated. Based on the technical and economic considerations, the minimum temperature difference DTmin=12 °С was determined for this technological scheme of the rectification process. For the selected DTmin, the component curves of the flows are constructed. Using the table algorithm method, the temperatures of the furnace for hot and cold flows were determined, which are ТНpinh=82 °С, ТСpinh=70 °С. The minimum number of hot and cold utilities is determined: QНmin and QCmin. For the selected DTmin, heat recovery was obtained in the amount of Qrek=2186,82 kW. A grid diagram is constructed, heat exchangers are located in accordance with CP and N rules. A technological scheme of the rectification process after reconstruction using thermocompression is proposed. The upgraded scheme includes the use of four recuperative heat exchangers, one heater and two coolers to achieve target flow temperatures. It is recommended to install a compressor for thermocompression. The use of Alfa Laval plate heat exchangers is proposed as heat exchange equipment. The payback period of the proposed solution is approximately two to two and a half years.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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