{"id":"W2972606535","doi":"10.1016/j.enconman.2019.112040","title":"Thermodynamic, exergoeconomic, and environmental evaluation of a new multi-generation system driven by a molten carbonate fuel cell for production of cooling, heating, electricity, and freshwater","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":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Process engineering; Molten carbonate fuel cell; Electricity generation; Exergy efficiency; Waste management; Heat exchanger; Desalination; Environmental science; Engineering; Mechanical engineering; Chemistry; Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001570046,0.0001070018,0.0001716762,0.00007221945,0.00002595795,0.000008960074,0.00003588821,0.00004329177,0.000009621556],"category_scores_gemma":[6.034421e-7,0.0001023945,0.0000281714,0.00002046538,0.00001950302,0.00005293197,0.00002741659,0.00002047147,4.157905e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443339,"about_ca_system_score_gemma":0.000004646561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003344451,"about_ca_topic_score_gemma":0.00004904328,"domain_scores_codex":[0.9994103,0.00002205128,0.0001904906,0.0001838564,0.0001001814,0.0000931254],"domain_scores_gemma":[0.9997799,0.00000545615,0.00007183938,0.0000927568,0.00001376559,0.00003624084],"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":[0.0003633313,0.0002405749,0.004097622,0.00691915,0.001312855,0.000001178051,0.005652437,0.3340938,0.6145,0.002780357,0.003546005,0.02649265],"study_design_scores_gemma":[0.001177189,0.00005144911,0.0002091884,0.00003821258,0.0001361094,9.457582e-7,0.0006597223,0.9924306,0.004695795,0.00001257995,0.0004828334,0.0001053354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902441,0.002497011,0.006137788,0.000007458701,0.0002267606,0.000377908,0.00001301271,0.0000215461,0.000474429],"genre_scores_gemma":[0.9975471,0.001112466,0.0002188361,0.000005917875,0.00001950487,0.00001823977,0.00007064074,0.00001373973,0.0009935716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6583368,"threshold_uncertainty_score":0.4175526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00675188202197274,"score_gpt":0.1877560004707485,"score_spread":0.1810041184487757,"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."}}