{"id":"W4378840371","doi":"10.1016/j.ijhydene.2023.05.137","title":"Biomass co-fired combined cycle with hydrogen production via proton exchange membrane electrolysis and waste heat recovery: Thermodynamic assessment","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen production; Exergy; Organic Rankine cycle; Rankine cycle; Proton exchange membrane fuel cell; High-pressure electrolysis; Natural gas; Hydrogen; Environmental science; Waste management; Biomass (ecology); Combined cycle; High-temperature electrolysis; Hydrogen fuel; Exergy efficiency; Hydrogen economy; Electricity generation; Combustion; Renewable energy; Process engineering; Electrolysis; Chemistry; Turbine; Chemical engineering; Thermodynamics; Engineering; Power (physics); Fuel cells; Mechanical engineering; Organic chemistry; 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":[0.000406085,0.0004376466,0.0006646041,0.0006452254,0.0005811442,0.0006470815,0.0005734305,0.0006194929,0.002488197],"category_scores_gemma":[0.0005052206,0.0002122459,0.0005116886,0.0006726339,0.0003972567,0.0007910806,0.0003934831,0.0005092919,0.0003645774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008596433,"about_ca_system_score_gemma":0.0005435546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004367266,"about_ca_topic_score_gemma":0.01132225,"domain_scores_codex":[0.9997687,0.00001908077,0.000009114005,0.00003060472,0.0001461391,0.000026484],"domain_scores_gemma":[0.9998335,0.00004648929,0.00001082804,0.00001415727,0.00008257184,0.00001235795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008829048,0.0007847313,0.01454746,0.001345235,0.0003482247,0.0008270514,0.0001323657,0.07041408,0.8213745,0.003112385,0.0008327315,0.07745229],"study_design_scores_gemma":[0.0001291821,0.001495989,0.01166813,0.00002651981,0.0001461073,0.0001424522,0.0001585552,0.09653437,0.8865225,0.0009335348,0.002208175,0.0000345455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925822,0.0005743805,0.003078501,0.00005242315,0.00003830652,0.00005041788,0.0003094989,0.00003579544,0.003278433],"genre_scores_gemma":[0.9981177,0.0001838282,0.0006710294,0.000007229442,0.000002928325,0.00001675857,0.00008501635,0.000006666124,0.0009087478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004367266,"threshold_uncertainty_score":0.008683681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007442436707541822,"score_gpt":0.2406663707279511,"score_spread":0.2332239340204093,"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."}}