{"id":"W2944933087","doi":"10.1002/est2.71","title":"Performance assessment of a solar tower‐based multigeneration system with thermal energy storage","year":2019,"lang":"en","type":"article","venue":"Energy Storage","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Organic Rankine cycle; Exergy; Environmental science; Rankine cycle; Process engineering; Solar energy; Thermal energy storage; TRNSYS; Nuclear engineering; Energy storage; Thermal energy; Thermal; Engineering; Electricity generation; Meteorology; Thermodynamics; Power (physics); Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001416727,0.000241882,0.0003610607,0.0001147128,0.00006382971,0.00002432233,0.0001922421,0.0001065322,0.00008820496],"category_scores_gemma":[8.390894e-7,0.0002000728,0.00009558535,0.0001516375,0.00002627435,0.0001324092,0.00001590048,0.00009497,0.000005376299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559287,"about_ca_system_score_gemma":0.0000652378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003899455,"about_ca_topic_score_gemma":0.00004539015,"domain_scores_codex":[0.9988381,0.00004778214,0.0003091742,0.0002268194,0.0003107523,0.0002673868],"domain_scores_gemma":[0.9993311,0.00002227007,0.0001010509,0.0004057565,0.00006414478,0.00007568624],"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":[0.00002790211,0.00003175178,0.0009299556,0.0001522145,0.0001109343,0.000007536471,0.0000953668,0.9723369,0.02312296,0.00193277,0.00006754632,0.001184102],"study_design_scores_gemma":[0.0005451029,0.0001466114,0.001852134,0.0001453638,0.00003257305,0.000003796231,0.0001640089,0.9921501,0.003176241,4.509777e-7,0.001515648,0.0002679942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6525668,0.0002243013,0.334444,0.00000284413,0.0004245888,0.00005492927,0.000007261824,0.0001769216,0.01209836],"genre_scores_gemma":[0.9980615,0.00001440071,0.0004423475,0.00001900283,0.0001187446,0.00002951656,0.00004829355,0.00005333928,0.001212804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3454947,"threshold_uncertainty_score":0.8158733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004056656390214795,"score_gpt":0.1878141887439745,"score_spread":0.1837575323537597,"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."}}