{"id":"W3090891620","doi":"10.1016/j.enconman.2020.113441","title":"Exergoeconomic and multi-objective optimization of a solar thermochemical hydrogen production plant with heat recovery","year":2020,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Exergy; Exergy efficiency; Process engineering; Rankine cycle; Multi-objective optimization; Thermochemical cycle; Engineering; Thermal energy storage; Environmental science; Waste management; Hydrogen production; Thermodynamics; Chemistry; Hydrogen; Mathematics; Power (physics); 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":[0.0006963753,0.0008375851,0.0008485108,0.0008752796,0.001049373,0.001617142,0.0006201311,0.001486829,0.003130906],"category_scores_gemma":[0.001239762,0.0007827127,0.0009590673,0.0007061357,0.0007690965,0.0007357309,0.0006384322,0.0009173034,0.0002117763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002384512,"about_ca_system_score_gemma":0.001257046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354483,"about_ca_topic_score_gemma":0.02355514,"domain_scores_codex":[0.9997783,0.0000964564,0.000007559287,0.00002648815,0.00004499474,0.00004621153],"domain_scores_gemma":[0.999435,0.0004127167,0.00003694965,0.0000155768,0.00005588209,0.00004389651],"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":[0.00009993129,0.00007688686,0.0004548721,0.00002855929,0.00001522522,0.00005545034,0.000008289482,0.996577,0.0009222012,0.0003441011,0.000080201,0.001337338],"study_design_scores_gemma":[0.00002464268,0.000114311,0.001490803,0.000002898188,0.00001122316,0.000007668803,0.00003843434,0.9971649,0.0007462309,0.0002882333,0.0001027162,0.000007923413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589903,0.0003392485,0.02120474,0.0004599094,0.00004260414,0.0001421363,0.0004988248,0.00009171453,0.01823045],"genre_scores_gemma":[0.9959896,0.0000566808,0.001536524,0.00001682384,0.000006000973,0.00005636207,0.00007748463,0.0000136454,0.002246703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02354483,"threshold_uncertainty_score":0.04681557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005022254974590398,"score_gpt":0.161375949605491,"score_spread":0.1563536946309005,"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."}}