{"id":"W3194176118","doi":"10.1016/j.energy.2021.121842","title":"A techno-economic analysis of small-scale trigenerative compressed air energy storage system","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Compressed air energy storage; Energy storage; Range (aeronautics); Process engineering; Parametric statistics; Scale (ratio); Renewable energy; Environmental science; Investment (military); Environmental economics; Engineering; Power (physics); Electrical engineering; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005966045,0.0006117923,0.0008248586,0.0009910851,0.0008808685,0.001321959,0.000716372,0.0006547135,0.006575494],"category_scores_gemma":[0.00096143,0.0003821634,0.001128037,0.0007209404,0.0007417073,0.001211385,0.0004780247,0.0006968497,0.0002206293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738308,"about_ca_system_score_gemma":0.00186283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01814909,"about_ca_topic_score_gemma":0.01775299,"domain_scores_codex":[0.9997246,0.00006858762,0.000009050445,0.00002498565,0.0001209814,0.00005182383],"domain_scores_gemma":[0.999429,0.000392196,0.00002480105,0.00001876085,0.000114976,0.00002024681],"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":[0.0001626016,0.00006816976,0.001400611,0.0001440838,0.0000410055,0.0002343344,0.00002420785,0.9717622,0.005718519,0.01153236,0.0005872688,0.008324669],"study_design_scores_gemma":[0.00001012589,0.00006664068,0.001612383,0.000005376854,0.00001850912,0.00002440936,0.00003488655,0.9956346,0.000817265,0.001396897,0.0003712799,0.000007513318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8221831,0.002398572,0.09781743,0.001160013,0.0002149517,0.000456374,0.001146646,0.0002532589,0.07436973],"genre_scores_gemma":[0.9959585,0.0001637768,0.0009168454,0.00001353788,0.00001292951,0.00004182065,0.00006948952,0.00001322683,0.002809807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814909,"threshold_uncertainty_score":0.03608686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005252495832578087,"score_gpt":0.1856167863791749,"score_spread":0.1803642905465969,"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."}}