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Record W2141991506 · doi:10.1115/1.4028241

Performance Assessment of a Novel Solar and Ocean Thermal Energy Conversion Based Multigeneration System for Coastal Areas

2014· article· en· W2141991506 on OpenAlexafffund
Pouria Ahmadi, İbrahim Dinçer, Marc A. Rosen

Bibliographic record

VenueJournal of Solar Energy Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsExergyAbsorption refrigeratorOcean thermal energy conversionEnvironmental scienceDesalinationExergy efficiencySolar energyRenewable energyEnvironmental engineeringPhotovoltaic systemProcess engineeringEngineeringChemistryRefrigerationMechanical engineeringElectrical engineeringMembrane

Abstract

fetched live from OpenAlex

A new multigeneration system based on an ocean thermal energy conversion (OTEC) system equipped with flat plate and PV/T solar collectors, a reverse osmosis (RO) desalination unit to produce fresh water, a single effect absorption chiller, and proton exchange membrane (PEM) electrolyzer is proposed and thermodynamically assessed. Both energy and exergy analyses are employed to determine the irreversibilities in each component and assess the system performance. A parametric study is performed to investigate the effects of varying design parameters and operating conditions on the system energy and exergy efficiencies. In addition, an economic assessment of the multigeneration system is performed, and the potential reduction in total cost rate when the system shifts from power generation to multigeneration are investigated.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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 designSimulation or modeling
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

Citations58
Published2014
Admission routes2
Has abstractyes

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