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Record W4412700095 · doi:10.11159/ffhmt25.193

Thermodynamic Superiority of Calcium Hydroxide-Based Thermochemical Energy Storage over Ammonia-Based Systems in Concentrated Solar Power

2025· article· en· W4412700095 on OpenAlexvenueno aff
Soheil Khosravi, Henk Huinink, Ahmad Arabkoohsar

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2025
Typearticle
Languageen
FieldEngineering
TopicAdsorption and Cooling Systems
Canadian institutionsnot available
FundersHORIZON EUROPE Framework ProgrammeEuropean Commission
KeywordsAmmoniaEnergy storageSolar energyThermodynamicsConcentrated solar powerHydroxideCalciumSolar powerMaterials scienceThermal energy storageChemistryPower (physics)Inorganic chemistryProcess engineeringMetallurgyEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Thermochemical energy storage technology is a promising step in the development of renewable energy and the transition to sustainable energy systems.Thermochemical energy storage systems store thermal energy through reversible chemical reactions and can provide a stable and continuous energy source with appropriate efficiency.This study investigates and compares the performance of two promising thermochemical energy storage systems when integrated with a concentrated solar thermal power plant.Calcium hydroxide-and ammonia-based thermochemical energy storage systems, due to their suitable temperature range and energy density, are coupled with a 20 MW concentrated solar plant.Results show that, in terms of roundtrip efficiency, the calcium hydroxide-based system performs better, achieving 93.6 % thermal-to-thermal efficiency with the capability of generating 2.28 MW of electrical power, while the ammonia-based system achieves 84 % thermal-to-thermal efficiency with a capability of 2.04 MW of electrical power.From a secondlaw thermodynamics perspective, during the charging phase, the endothermic reactor in the ammonia-based system demonstrates better performance, with approximately 10 % higher exergy efficiency compared to the calcium hydroxide-based system.During the discharging phase, reactors in both systems show similar performance.For the proposed integrated configurations, a heliostat field is designed with an area of 0.055 km 2 and an efficiency of 72.44%.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.669

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 head0.010
GPT teacher head0.217
Teacher spread0.206 · 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 designBench or experimental
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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

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