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Record W4394582157 · doi:10.1016/j.energy.2024.131209

A comprehensive 6E analysis of a novel multigeneration system powered by solar-biomass energies

2024· article· en· W4394582157 on OpenAlexaff
Mohammad Ali Sabbaghi, M. Soltani, Marc A. Rosen

Bibliographic record

VenueEnergy · 2024
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsOntario Tech UniversityUniversity of Waterloo
Fundersnot available
KeywordsSolar energyBiomass (ecology)Environmental scienceEngineeringWaste managementNuclear engineeringElectrical engineeringEcologyBiology

Abstract

fetched live from OpenAlex

This study presents a novel multigeneration system comprising five different cycles driven by a combination of solar and biomass energy resources. This system includes a modified gas turbine cycle, a trans-critical CO2 cycle (TCO2), a steam Rankine cycle, a biomass-fueled boiler, and a solar collector. The gas turbines exhibit limited thermal efficiency, primarily due to substantial heat losses. Consequently, the TCO2 cycle and the steam Rankine cycle are integrated into the system to improve performance. An innovative aspect of this study is the utilization of a unique configuration of transcritical CO2 and steam Rankine cycles, combined with biomass and solar energies, aimed at maximizing energy recovery and minimizing waste. Furthermore, a proton membrane electrolyzer (PEME) is integrated into the system for hydrogen production, along with a proton membrane fuel cell (PEMFC) to increase electricity generation. In this comprehensive analysis, in addition to energy and exergy analyses, exergoeconomic, exergoenvironmental, emergoeconomic, and emergoenvironmental analyses are conducted. The results indicate that the proposed system achieves notable energy and exergy efficiencies of 20.2 % and 15.2 %, respectively. The total investment cost rate for the system equipment is 0.007554 $/s and the system's environmental impact is 0.0008611 pt/s. The results of the emergy analysis reveal that the emergoeconomic values of the streams are lower than the corresponding environmental values, primarily due to the higher environmental impact throughout the components' life cycle compared to their economic value.

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: none
Teacher disagreement score0.699
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations23
Published2024
Admission routes1
Has abstractyes

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