Publication2023
Performance prediction of a model rotary air preheater through porous media approach
The record
- Type
- Publication
- Date
- 1 July 2023
- Level
- National
- Journal
- Journal of Thermal Science and Engineering Applications
- Volume
- 15
- Issue
- 7
- Published
- 1 July 2023
- DOI
- 10.1115/1.4062315
- Scopus ID
- 85180091960
- ISSN
- 19485085
- Authors
- 2
- Open access
- No
- Citations
- 5
- 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 Ensure access to affordable, reliable, sustainable and modern energy for all
Improves thermal power plant efficiency through computational fluid dynamics modeling of rotary air preheater heat recovery systems reducing energy waste and emissions
- 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
Develops porous media approach numerical modeling technique advancing research capacity in thermal engineering and heat transfer optimization
- 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-2.5 Green economy, energy transition and climate resilience
Advances clean energy systems through improved heat recovery technology enabling thermal power plants to operate with enhanced energy efficiency
- 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. “Performance prediction of a model rotary air preheater through porous media approach”. Kortex.