{"id":"W2965901492","doi":"10.1016/j.enconman.2019.111812","title":"A novel solar and geothermal-based trigeneration system for electricity generation, hydrogen production and cooling","year":2019,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Absorption refrigerator; Exergy efficiency; Exergy; Coefficient of performance; Process engineering; Hydrogen production; Electricity generation; Renewable energy; Geothermal power; Environmental science; Geothermal gradient; Waste management; Geothermal energy; Chiller; Nuclear engineering; Engineering; Thermodynamics; Chemistry; Hydrogen; Refrigeration; Mechanical engineering; Heat pump; Heat exchanger; Power (physics); Electrical engineering; 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":[0.0001200596,0.000357005,0.0005737322,0.0002447813,0.0009503478,0.0004128806,0.001050184,0.0004116926,0.004054305],"category_scores_gemma":[0.0000713355,0.0001705933,0.0003464083,0.000440909,0.0002021466,0.0007428387,0.0004404423,0.0003072368,0.0009211628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217238,"about_ca_system_score_gemma":0.0006960548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122765,"about_ca_topic_score_gemma":0.003593912,"domain_scores_codex":[0.9998609,0.00001216831,0.000008333201,0.00005254589,0.00004934427,0.000016744],"domain_scores_gemma":[0.9999453,0.000005105338,0.000006029238,0.000009186093,0.00001983846,0.00001455111],"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":[0.0009527662,0.000392336,0.003318109,0.0005390291,0.00008026551,0.0004730993,0.0001681283,0.005717587,0.8922386,0.001481536,0.00424221,0.09039623],"study_design_scores_gemma":[0.0004153691,0.002929361,0.01657409,0.00004755084,0.0003191773,0.00160594,0.0002113191,0.1624985,0.7583294,0.00102652,0.0558742,0.0001685033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614287,0.001875807,0.1181053,0.0003760065,0.0005542188,0.0002516809,0.0007045054,0.003565872,0.01313776],"genre_scores_gemma":[0.9704724,0.0003114587,0.02063933,0.000107738,0.0000402432,0.00008958434,0.0002804983,0.0000337177,0.008024964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004054305,"threshold_uncertainty_score":0.01356304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006041803824286516,"score_gpt":0.1782674776945796,"score_spread":0.1722256738702931,"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."}}