{"id":"W4394779052","doi":"10.1016/j.est.2024.111551","title":"Digital twin modelling for compressed air energy storage plants: Dynamic modelling of the discharge unit","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Compressed air energy storage; Renewable energy; Turbine; Energy storage; Process engineering; Engineering; Compressed air; Mechanical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037766,0.000474021,0.0007885123,0.0002942995,0.0003873995,0.001105607,0.0008389709,0.001058879,0.0036657],"category_scores_gemma":[0.0007189144,0.0003583149,0.0006492891,0.0004798447,0.0005731464,0.0009929589,0.0005441391,0.0006322737,0.0003803139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006970247,"about_ca_system_score_gemma":0.0008781562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910122,"about_ca_topic_score_gemma":0.01054438,"domain_scores_codex":[0.9998918,0.00002211317,0.000006224151,0.0000207354,0.00003937947,0.0000198846],"domain_scores_gemma":[0.9997839,0.00009440466,0.00002215397,0.00002481468,0.00005929649,0.0000152894],"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":[0.00002801686,0.000007326256,0.000164643,0.00002143423,0.000005653388,0.00002291813,0.00001883564,0.9951702,0.0009980832,0.001360718,0.0001253413,0.002076851],"study_design_scores_gemma":[0.000001795021,0.00000495573,0.00005061076,0.000001270259,0.00000192866,0.000003273866,0.000004132702,0.9993238,0.0002529713,0.0001720425,0.0001813819,0.000001776819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3331585,0.000729062,0.6163551,0.0005514405,0.0001866818,0.0000958415,0.0007725174,0.0009431912,0.04720769],"genre_scores_gemma":[0.986755,0.0001634035,0.006082314,0.00002903105,0.00001085108,0.00003499135,0.0001352201,0.00006070228,0.006728535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01910122,"threshold_uncertainty_score":0.03798008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508131779860925,"score_gpt":0.2035878993906896,"score_spread":0.1885065815920803,"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."}}