MétaCan
Menu
Back to cohort
Record W4379802388 · doi:10.1002/est2.497

Development and comparative evaluation of integrated solar‐driven off‐grid energy systems with hydrogen production and storage options for sustainable buildings

2023· article· en· W4379802388 on OpenAlexaffabout
Doğan Erdemir, İbrahim Dinçer

Bibliographic record

VenueEnergy Storage · 2023
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsEnergy storageThermal energy storagePhotovoltaic systemProcess engineeringEnvironmental scienceHydrogen storageSolar energyGrid energy storageRenewable energyDistributed generationNuclear engineeringEngineeringElectrical engineeringHydrogenPower (physics)ChemistryPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Abstract This study presents the development of a new solar energy‐based integrated system where hydrogen production, storage, and power generation and heat storage subsystems are designed in a combined manner to meet the energy demands of multiple buildings in a community. It is also comprehensively analyzed and assessed under various criteria comparatively. A comprehensive study is established for a community with 80 156 residential buildings in Southern Ontario, Canada. Solar‐driven three different cases are investigated, which cover (i) solar energy and grid‐assisted, (ii) solar energy‐driven system integrated with hydrogen subsystems, and (iii) solar‐driven system integrated with hydrogen subsystems and heat storage for both heating and cooling purposes. The studied cases are assessed over the energy and exergy efficiencies. The results of this study indicate that it is possible to achieve solar‐driven and off‐grid operating conditions with hydrogen and heat storage systems. Only about 15% of the energy demand can be met by solar energy without any energy storage options (Case 1). Case 2 shows that it can be achieved off‐grid solar energy system with 1100 MWp of solar power plant capacity with the integration of hydrogen as an energy storage option. In the case of using hydrogen and heat storage together, off‐grid operating conditions can be reached with 750 MWp of power plant capacity. The heat storage integration helps reduce the capacity of the photovoltaic power plant by 32%. Furthermore, hydrogen and heat storage options are needed to cover both cooling and heating demands simultaneously to provide sustainable buildings.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

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 communication0.0010.000
Open science0.0010.001
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 head0.035
GPT teacher head0.259
Teacher spread0.224 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueEnergy StorageSame topicHybrid Renewable Energy SystemsFrench-language works237,207