{"id":"https://openalex.org/W7129024846","doi":"https://doi.org/10.1016/j.compchemeng.2026.109597","title":"Improving Fouling Forecasting in Industrial Distillation via Physics-Informed Hybrid Warped Gaussian Processes","display_name":"Improving Fouling Forecasting in Industrial Distillation via Physics-Informed Hybrid Warped Gaussian Processes","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129024846","doi":"https://doi.org/10.1016/j.compchemeng.2026.109597"},"language":"en","primary_location":{"id":"doi:10.1016/j.compchemeng.2026.109597","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compchemeng.2026.109597","pdf_url":null,"source":{"id":"https://openalex.org/S150671403","display_name":"Computers & Chemical Engineering","issn_l":"0098-1354","issn":["0098-1354","1873-4375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Chemical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compchemeng.2026.109597","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019435842","display_name":"Francesco Negri","orcid":"https://orcid.org/0000-0002-1010-2241"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Negri","raw_affiliation_strings":["Dipartimento di Chimica, Materiali e Ingegneria Chimica \u201dGiulio Natta\u201d, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy","Itelyum Regeneration S.p.A., Via Tavernelle, 19, Pieve Fissiraga, 26854, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1010-2241","affiliations":[{"raw_affiliation_string":"Dipartimento di Chimica, Materiali e Ingegneria Chimica \u201dGiulio Natta\u201d, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Itelyum Regeneration S.p.A., Via Tavernelle, 19, Pieve Fissiraga, 26854, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024022318","display_name":"Andrea Galeazzi","orcid":"https://orcid.org/0000-0002-5907-195X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Galeazzi","raw_affiliation_strings":["Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK","The Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"The Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090323165","display_name":"Francesco Gallo","orcid":"https://orcid.org/0000-0003-0669-5723"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Gallo","raw_affiliation_strings":["Itelyum Regeneration S.p.A., Via Tavernelle, 19, Pieve Fissiraga, 26854, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Itelyum Regeneration S.p.A., Via Tavernelle, 19, Pieve Fissiraga, 26854, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126078414","display_name":"Flavio Manenti","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Flavio Manenti","raw_affiliation_strings":["Dipartimento di Chimica, Materiali e Ingegneria Chimica \u201dGiulio Natta\u201d, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3305-8044","affiliations":[{"raw_affiliation_string":"Dipartimento di Chimica, Materiali e Ingegneria Chimica \u201dGiulio Natta\u201d, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5126078414"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":{"value":4070,"currency":"USD","value_usd":4070},"apc_paid":{"value":4070,"currency":"USD","value_usd":4070},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15886759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"209","issue":null,"first_page":"109597","last_page":"109597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.6219000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.6219000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.03139999881386757,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.02290000021457672,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6467999815940857},{"id":"https://openalex.org/keywords/fouling","display_name":"Fouling","score":0.6269000172615051},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5292999744415283},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4884999990463257},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.38449999690055847},{"id":"https://openalex.org/keywords/chemical-process","display_name":"Chemical process","score":0.3206000030040741}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6467999815940857},{"id":"https://openalex.org/C115792997","wikidata":"https://www.wikidata.org/wiki/Q1439803","display_name":"Fouling","level":3,"score":0.6269000172615051},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.5997999906539917},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5292999744415283},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4180999994277954},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38370001316070557},{"id":"https://openalex.org/C124223222","wikidata":"https://www.wikidata.org/wiki/Q2281940","display_name":"Chemical process","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2984282874","wikidata":"https://www.wikidata.org/wiki/Q10952243","display_name":"Industrial equipment","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C154030694","wikidata":"https://www.wikidata.org/wiki/Q1436074","display_name":"Fractionating column","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C2993373340","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Industrial water","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25920000672340393},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.251800000667572},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C81637046","wikidata":"https://www.wikidata.org/wiki/Q3030722","display_name":"Multiple-effect distillation","level":4,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.compchemeng.2026.109597","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compchemeng.2026.109597","pdf_url":null,"source":{"id":"https://openalex.org/S150671403","display_name":"Computers & Chemical Engineering","issn_l":"0098-1354","issn":["0098-1354","1873-4375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Chemical Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.compchemeng.2026.109597","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compchemeng.2026.109597","pdf_url":null,"source":{"id":"https://openalex.org/S150671403","display_name":"Computers & Chemical Engineering","issn_l":"0098-1354","issn":["0098-1354","1873-4375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Chemical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W1980032585","https://openalex.org/W1981890344","https://openalex.org/W1984113680","https://openalex.org/W1986797382","https://openalex.org/W1991754200","https://openalex.org/W2001414605","https://openalex.org/W2010812986","https://openalex.org/W2025720061","https://openalex.org/W2032927332","https://openalex.org/W2041457261","https://openalex.org/W2075494248","https://openalex.org/W2088603669","https://openalex.org/W2090299879","https://openalex.org/W2095654324","https://openalex.org/W2100119621","https://openalex.org/W2132029223","https://openalex.org/W2135663228","https://openalex.org/W2147129131","https://openalex.org/W2264709743","https://openalex.org/W2887284364","https://openalex.org/W2913314997","https://openalex.org/W2953822436","https://openalex.org/W2963507686","https://openalex.org/W2974000087","https://openalex.org/W3022643593","https://openalex.org/W3029898984","https://openalex.org/W3031381838","https://openalex.org/W3034344745","https://openalex.org/W3119313217","https://openalex.org/W3163338397","https://openalex.org/W3205848213","https://openalex.org/W4238676389","https://openalex.org/W4280614529","https://openalex.org/W4310073256","https://openalex.org/W4388871936","https://openalex.org/W4388915050","https://openalex.org/W4391971011","https://openalex.org/W4393227681","https://openalex.org/W4400032234","https://openalex.org/W4400062929","https://openalex.org/W4400193469","https://openalex.org/W4411376006","https://openalex.org/W4411782751"],"related_works":[],"abstract_inverted_index":{"Fouling-induced":[0],"pressure":[1],"drop":[2],"in":[3,21],"process":[4],"plants":[5],"present":[6],"complex,":[7],"non-linear":[8],"degradation":[9],"patterns":[10],"that":[11,113],"challenge":[12],"standard":[13,119],"forecasting":[14,106],"models":[15],"and":[16,68,100],"pose":[17],"a":[18,30,64,87],"significant":[19],"obstacle":[20],"the":[22,48,60,78,114,144],"context":[23],"of":[24,51,63,146],"Industry":[25],"4.0.":[26],"This":[27,82],"study":[28],"introduces":[29],"machine":[31],"learning":[32],"methodology":[33],"based":[34],"on":[35,107],"physics-informed":[36,139],"output":[37],"warping":[38,57],"for":[39,89,149],"Gaussian":[40],"Process":[41],"Regression":[42],"(GPR),":[43],"specifically":[44],"designed":[45],"to":[46],"capture":[47],"asymptotic":[49],"behavior":[50],"fouling.":[52],"By":[53,133],"analytically":[54],"deriving":[55],"monotone":[56],"functions":[58],"from":[59],"governing":[61],"equations":[62],"vacuum":[65],"distillation":[66],"column":[67],"its":[69],"fired":[70],"heater,":[71],"physical":[72],"constraints":[73],"are":[74,102],"directly":[75],"embedded":[76],"into":[77],"GPR":[79],"observation":[80],"model.":[81],"hybrid":[83,115],"warp":[84,116],"acts":[85],"as":[86,127],"regularizer":[88],"long-horizon":[90],"extrapolation":[91],"by":[92],"encoding":[93],"operational":[94],"limits.":[95],"Three":[96],"configurations":[97],"(unwarped,":[98],"log-warp,":[99],"hybrid-warp)":[101],"evaluated":[103],"using":[104],"rolling-window":[105],"industrial":[108,151],"refinery":[109],"data.":[110],"Results":[111],"demonstrate":[112],"consistently":[117],"outperforms":[118],"baselines,":[120],"particularly":[121],"during":[122],"abrupt":[123],"regime":[124],"changes":[125],"such":[126],"rapid":[128],"fouling":[129],"or":[130],"steam-blowing":[131],"operations.":[132],"combining":[134],"automatic":[135],"kernel":[136],"search":[137],"with":[138],"warping,":[140],"this":[141],"approach":[142],"improves":[143],"reliability":[145],"predictive":[147],"maintenance":[148],"critical":[150],"assets.":[152]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2026-02-17T00:00:00"}