{"id":"W4388952839","doi":"10.2139/ssrn.4642287","title":"Performance Evaluation of Renewable Integrated Power Generation System Coupled with Heat Storage","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Renewable energy; Thermal energy storage; Renewable heat; Environmental science; Process engineering; Energy storage; Power (physics); Engineering; Waste heat; Electrical engineering; Mechanical engineering; Heat exchanger; Thermodynamics; Physics","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":[0.0003394108,0.0006553259,0.0007804537,0.0004459149,0.0004748821,0.0007491354,0.0006025551,0.0005267436,0.003690598],"category_scores_gemma":[0.000491407,0.0002015284,0.0004288749,0.0004273181,0.0003101294,0.0005974387,0.0003603868,0.000313748,0.0004265037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004996236,"about_ca_system_score_gemma":0.0002886664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005699586,"about_ca_topic_score_gemma":0.004574435,"domain_scores_codex":[0.9997607,0.00007604725,0.00001548337,0.00004685533,0.00005244566,0.00004846616],"domain_scores_gemma":[0.9995896,0.0001644913,0.0000307999,0.00003582329,0.0001410962,0.0000382958],"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":[0.006693005,0.0005435112,0.007559747,0.0008966743,0.0003631853,0.0008277667,0.0001546387,0.8187228,0.1200594,0.001211488,0.001547392,0.04142024],"study_design_scores_gemma":[0.000232478,0.004174778,0.01345205,0.00003113534,0.0003223085,0.0001530489,0.0001488495,0.907282,0.07280541,0.0004192287,0.0009372581,0.00004138513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915853,0.0003371092,0.003837355,0.00005857358,0.00003690014,0.00002500021,0.0001963044,0.0003104804,0.003613147],"genre_scores_gemma":[0.9992263,0.00003246442,0.0002124251,0.000004380256,0.000003384603,0.000003737528,0.00004802329,0.000007299922,0.0004620344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005699586,"threshold_uncertainty_score":0.01234627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395459530802913,"score_gpt":0.2267786249968497,"score_spread":0.2128240296888206,"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."}}