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Record W4400899192 · doi:10.1051/e3sconf/202455201138

Central Tower Solar Receiver Structures: Construction and Performance Comparison

2024· article· en· W4400899192 on OpenAlexaff
Talupuri Aswini Devi, B Swathi, Rajeev Sobti, Anurag Shrivastava, Ashwani Kumar, Rawya Raed, T. Mrudula

Bibliographic record

VenueE3S Web of Conferences · 2024
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsTowerArchitectural engineeringEnvironmental scienceEngineeringComputer scienceStructural engineering

Abstract

fetched live from OpenAlex

The purpose of this study is to evaluate the design and thermal performance of various configurations of central tower solar receivers, with an emphasis on spiral tube receivers. Specifically, it addresses the challenges of cost-effectiveness and efficiency within Concentrating Solar Power (CSP) systems. Multiple designs are assessed using a combination of analytical models and computational fluid dynamics (CFD) tools to assess thermal efficiency, heat transfer, and convective losses. Spiral tube receivers demonstrate superior thermal characteristics across various metrics as a result of the grid independence tests. Additionally, we discuss the effects of various mass flow rates on the outlet temperatures of the heat transfer fluid (HTF), in order to improve solar energy capture and conversion by optimizing the receivers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

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)0.0010.000

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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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