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Record W4395673389 · doi:10.1016/j.est.2024.111742

Design of a two-renewable energy source-based system with thermal energy storage and hydrogen storage for sustainable development

2024· article· en· W4395673389 on OpenAlex
Sibel Uygun Batgi, İbrahim Dinçer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Energy Storage · 2024
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsRenewable energyThermal energy storageExergyProcess engineeringEnergy storageEnvironmental scienceElectricityEngineeringElectrical engineeringThermodynamics

Abstract

fetched live from OpenAlex

A renewable energy-based system, including an energy storage subsystem, is designed within the scope of this proposed study to meet the fresh water and electricity demands of a community. The city of Imperial in the state of California is, in this regard, considered for a case study. The energy storage solutions are incorporated into the system to enhance the flexibility and efficiency of energy systems since solar and wind energy resources fluctuate. These energy storage options help offset the mismatch between demand and supply to provide feasible solutions practically. The current system employs storage technologies, such as thermal energy storage (TES) and hydrogen, to efficiently store excess energy for usage during peak demand periods. The parabolic through solar collector (PTSC) and wind turbine in the system are modelled using the System Advisor Model (SAM). Furthermore, the energy and exergy aspects of thermodynamic are considered when performing the thermodynamic analysis of the entire system. The Engineering Equation Solver (EES) is employed to construct the programming codes and perform a thermodynamic analysis of the overall system and its components. The effects of varying numerous parameters on the system performance are studied in this proposed study using a parametric investigation which is carried out through the changes in the ambient temperature, source temperatures, and mass flow rate of the current system. The results of this study show that the annual net amount of electricity generated by the proposed system is 74.90 GWh, which meets 11.7 % of the residential electricity needs of the Imperial City. The desalination unit in the system is also able to produce fresh water from seawater, meeting the needs of 4708 families. The current system further produces a total of 3379.53 tons of fresh water and 226.98 tons of H 2 annually. As a result of the energy and exergy analyses performed for the designed system, the energy and exergy efficiencies for the overall system are found to be 47.5 % and 34.3 %, respectively. • Renewable energy-based system design with an energy storage option for Imperial, USA. • The PTSC system annually produces 45.67 GWh of thermal energy. • The proposed integrated system meets 11.7 % of Imperial's electricity needs. • Overall energy and exergy efficiencies are 47.5 % and 34.3 %, respectively.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.913
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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