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Record W2314195226 · doi:10.1504/ijex.2016.075603

Exergetic performance assessment of an integrated solar energy system

2016· article· en· W2314195226 on OpenAlexaff
Canan Acar, İbrahim Dinçer

Bibliographic record

VenueInternational Journal of Exergy · 2016
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsExergyExergy efficiencyEnvironmental scienceProcess engineeringElectricityAir conditioningRenewable energySolar energyEnvironmental engineeringMechanical engineeringEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this study, an integrated solar absorption-cooling and heating system is taken as a basis to develop a multi-generation solar system with five outputs, namely electricity, heat, hot water, cooling, and air conditioning (humidifying/dehumidifying) for residential use. The system performance is assessed by energy and exergy efficiencies. The present system is capable of producing 550 kW of electricity. The exergy efficiencies and exergy destruction rates are examined under the variation of ambient conditions. The results show that the maximum exergy efficiency for the overall system is 28%. It is also found that the main sources of exergy destruction rate are the solar collectors and ORC turbines and evaporators. Therefore, this study points out the importance of the selection and design of these to reduce exergy destruction, and as a result, increase the exergy efficiency of the system by minimising irreversibilities.

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 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 score0.720
Threshold uncertainty score0.344

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 head0.005
GPT teacher head0.226
Teacher spread0.221 · 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.

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

Citations8
Published2016
Admission routes1
Has abstractyes

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