{"id":"W4319237613","doi":"10.1016/j.enconman.2023.116674","title":"Techno-economic analysis for hydrogen-burning power plant with onsite hydrogen production unit based on methane catalytic decomposition","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Natural gas; Hydrogen production; Cost of electricity by source; Hydrogen; Waste management; Methane; Renewable natural gas; Environmental science; Combustion; Electricity generation; Chemistry; Fuel gas; Engineering; Power (physics); Organic chemistry; Thermodynamics","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":[0.0004772889,0.0005547937,0.0005571927,0.0008200329,0.0007407707,0.001019713,0.0007758462,0.0007233974,0.004754365],"category_scores_gemma":[0.0008451681,0.000344943,0.00102351,0.0006645303,0.0005117652,0.0009546416,0.0003349475,0.0005358209,0.000201905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807926,"about_ca_system_score_gemma":0.0009501173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01078637,"about_ca_topic_score_gemma":0.009270526,"domain_scores_codex":[0.9997382,0.0000733009,0.000006430888,0.00002638186,0.00009004316,0.00006563498],"domain_scores_gemma":[0.9993746,0.0004719105,0.00002609566,0.00001835408,0.00008623825,0.00002286446],"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":[0.0003787384,0.0001512896,0.002612288,0.0001028103,0.00004841314,0.0003070096,0.00001676885,0.9732126,0.007959154,0.007007053,0.0005698076,0.00763404],"study_design_scores_gemma":[0.00001034501,0.00006692884,0.002215068,0.000002632521,0.00002393386,0.00002177967,0.00002968607,0.9952864,0.001307394,0.0008571051,0.0001720809,0.000006634029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009978,0.0007208912,0.05878311,0.0004111773,0.000075084,0.0001041236,0.0004173408,0.0001226445,0.03836784],"genre_scores_gemma":[0.9972966,0.00008951216,0.0007933587,0.000008761628,0.000008514881,0.00002132918,0.00006566491,0.000008254361,0.001707872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078637,"threshold_uncertainty_score":0.02144718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009091840407116358,"score_gpt":0.2227835940253455,"score_spread":0.2136917536182292,"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."}}