{"id":"W4410579930","doi":"10.1016/j.est.2025.116876","title":"Design of an innovative industrial system driven by renewable energy for achieving thermal energy storage, carbon capture and clean fuels","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Yildiz Teknik Üniversitesi","keywords":"Renewable energy; Waste management; Carbon capture and storage (timeline); Clean energy; Renewable fuels; Environmental science; Carbon-neutral fuel; Energy storage; Process engineering; Thermal energy storage; Thermal energy; Carbon fibers; Fossil fuel; Engineering; Chemistry; Materials science; Environmental engineering; Syngas; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004117472,0.0002807687,0.000700711,0.0003256095,0.00008646257,0.00004398815,0.0003032812,0.0002848142,0.000003824947],"category_scores_gemma":[0.00002450119,0.0002464478,0.0001208466,0.00036565,0.00005358474,0.0001795689,0.00003358278,0.0001882314,2.069338e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775068,"about_ca_system_score_gemma":0.0001302524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514392,"about_ca_topic_score_gemma":0.000102762,"domain_scores_codex":[0.9983548,0.000166411,0.000763649,0.0001906455,0.0002336136,0.0002908748],"domain_scores_gemma":[0.9988661,0.0001274877,0.0004099878,0.0002146427,0.0002636703,0.0001181297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004925614,0.00007838564,0.00006700964,0.0001499585,0.0009630751,0.0000355998,0.0005069151,0.8918146,0.09219759,0.003185177,0.002433534,0.008075584],"study_design_scores_gemma":[0.006290935,0.001479125,0.0001152764,0.001877593,0.0007750619,0.0001162879,0.005830263,0.9214739,0.04079536,0.0002995916,0.01965105,0.001295515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2181323,0.003740366,0.7745126,0.0000210514,0.001299955,0.00006940327,0.00003014159,0.00006014892,0.002134058],"genre_scores_gemma":[0.9982164,0.00008314108,0.0003768551,0.00003168139,0.0003678993,0.000009831336,0.00001463263,0.00004645119,0.0008531209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7800841,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009843954011667037,"score_gpt":0.2110279742206001,"score_spread":0.201184020208933,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}