Publication2023
COMPUTATIONAL MODELING FOR THE PERFORMANCE PREDICTION OF QUAD-SECTOR ROTARY AIR PREHEATER AND COMPARATIVE STUDY WITH TRI-SECTOR AND BI-SECTOR ROTARY AIR PREHEATERS
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Computational Thermal Sciences
- Volume
- 15
- Issue
- 6
- Pages
- 19-40
- Published
- 1 January 2023
- DOI
- 10.1615/computthermalscien.2023047355
- Scopus ID
- 85172707867
- ISSN
- 19402503
- Authors
- 2
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
7.3 Double the global rate of improvement in energy efficiency
Computational modeling of quad-sector rotary air preheater demonstrates superior effectiveness over bi-sector and tri-sector designs for power plant energy efficiency.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Thermal behavior analysis using porous media CFD approach and comparative performance optimization advances heat transfer research methodology.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.2 Industry and manufacturing
Industrial power generation equipment optimization improves energy efficiency and manufacturing processes in thermal power systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “COMPUTATIONAL MODELING FOR THE PERFORMANCE PREDICTION OF QUAD-SECTOR ROTARY AIR PREHEATER AND COMPARATIVE STUDY WITH TRI-SECTOR AND BI-SECTOR ROTARY AIR PREHEATERS”. Kortex.