{"id":"W4241355480","doi":"10.5383/ijtee.12.01.007","title":"Waste Heat Recovery from Gas Turbine Flue Gases for Power Generation Enhancement in a Process Plant","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organic Rankine cycle; Flue gas; Waste management; Waste heat; Rankine cycle; Waste heat recovery unit; Combined cycle; Exergy; Environmental science; Heat recovery ventilation; Natural gas; Exergy efficiency; Thermal efficiency; Thermal power station; Electricity generation; Degree Rankine; Engineering; Process engineering; Turbine; Heat exchanger; Power (physics); Mechanical engineering; Chemistry; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910291,0.0002406436,0.0002788717,0.0002647914,0.0002574224,0.000324789,0.000277441,0.000313938,0.001146758],"category_scores_gemma":[0.000172796,0.00009986392,0.0003281664,0.0002560035,0.0002504858,0.0003767153,0.000176033,0.0002271235,0.0001474176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035922,"about_ca_system_score_gemma":0.0003117711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422661,"about_ca_topic_score_gemma":0.002960166,"domain_scores_codex":[0.999884,0.00003072013,0.000003601953,0.00001242459,0.00004094313,0.00002840554],"domain_scores_gemma":[0.9999595,0.00001360456,0.00000919783,0.000004192976,0.000008789521,0.000004751899],"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":[0.00100454,0.000293976,0.003069942,0.0002493224,0.00001637333,0.0005806792,0.00006672319,0.02167814,0.9476183,0.0008558086,0.0001558866,0.02441032],"study_design_scores_gemma":[0.00006155417,0.001639596,0.008415514,0.0000103551,0.00002788342,0.0002207361,0.0001144737,0.03161762,0.9564078,0.0001973054,0.001272046,0.00001508349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956611,0.0001152294,0.002939217,0.00002807571,0.000003604867,0.00001714578,0.00002362941,0.0000352407,0.001176884],"genre_scores_gemma":[0.9979854,0.00008137988,0.001479276,0.000004691291,0.000001235725,0.000005594541,0.00001953653,0.000003467537,0.00041953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001422661,"threshold_uncertainty_score":0.003836334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007498156243739582,"score_gpt":0.1950829617931137,"score_spread":0.1875848055493741,"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."}}