{"id":"W2081425103","doi":"10.1016/j.enconman.2013.03.008","title":"Energy, exergy, environmental and economic analysis of industrial fired heaters based on heat recovery and preheating techniques","year":2013,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Process Optimization and Integration","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Universiti Malaya; Ministry of Higher Education, Malaysia","keywords":"Air preheater; Exergy; Waste management; Cogeneration; Payback period; Oil refinery; Heat recovery ventilation; Refinery; Process engineering; Engineering; Petrochemical; Environmental science; Heat exchanger; Production (economics); Mechanical engineering; Electricity generation; Economics","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":[0.00004093098,0.00010417,0.0001399299,0.0002714124,0.00003992496,0.00003375757,0.00003076612,0.00005456473,0.0001795455],"category_scores_gemma":[8.254854e-7,0.000101321,0.00002617855,0.00005855528,0.00002951766,0.0001417481,0.00003258644,0.00002567582,6.036751e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005040235,"about_ca_system_score_gemma":0.000002102793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163588,"about_ca_topic_score_gemma":0.00001347458,"domain_scores_codex":[0.999548,0.00001532112,0.0001455428,0.0001548947,0.00005668241,0.00007957531],"domain_scores_gemma":[0.999826,0.00001677725,0.00002434391,0.00008048042,0.000003368549,0.00004906546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002023973,0.0001255841,0.005664999,0.0002067661,0.001499085,0.000003740159,0.0002479024,0.3349178,0.006687816,0.003183215,0.01123281,0.6360279],"study_design_scores_gemma":[0.0004445495,0.00008427801,0.0007088656,0.00003255606,0.0001096304,1.923642e-7,0.0001345348,0.9817805,0.01160505,0.00001661677,0.004951539,0.0001316757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133903,0.0005855525,0.0648355,0.0005716764,0.0003791766,0.0005130904,0.00004489678,0.0003508995,0.0193289],"genre_scores_gemma":[0.9965233,0.002378314,0.0005705665,0.0002043529,0.00001030678,0.00002826071,0.00006730823,0.000008728734,0.0002088831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6468627,"threshold_uncertainty_score":0.413175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004871856271006589,"score_gpt":0.1620263399119388,"score_spread":0.1571544836409322,"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."}}