{"id":"https://openalex.org/W2507911041","doi":"https://doi.org/10.6967/jcice.200607.0383","title":"A New and Efficient NLP Formulation for Synthesizing Large Scale Multi-Stream Heat Exchanger Networks","display_name":"A New and Efficient NLP Formulation for Synthesizing Large Scale Multi-Stream Heat Exchanger Networks","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W2507911041","doi":"https://doi.org/10.6967/jcice.200607.0383","mag":"2507911041"},"language":"en","primary_location":{"id":"mag:2507911041","doi":"https://doi.org/10.6967/jcice.200607.0383","is_oa":false,"landing_page_url":"https://www.airitilibrary.com/Publication/Index/03681653-200607-37-4-383-394-a","pdf_url":null,"source":{"id":"https://openalex.org/S82500661","display_name":"Journal of The Chinese Institute of Chemical Engineers","issn_l":"0368-1653","issn":["0368-1653","1876-1062"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of The Chinese Institute of Chemical Engineers","raw_type":null},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111553706","display_name":"Wu Hua Xiao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112206012","display_name":"Pingjing Yao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pingjing Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101925324","display_name":"Xing Luo","orcid":"https://orcid.org/0000-0002-5467-4364","observed_orcids":["https://orcid.org/0000-0002-5467-4364"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Luo","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5467-4364","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050463394","display_name":"Wilfried Roetzel","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wilfried Roetzel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5243,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87629425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":"4","first_page":"383","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.9984999895095825,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heat-exchanger-network-synthesis","display_name":"heat exchanger network synthesis","score":0.9750000238418579},{"id":"https://openalex.org/keywords/heat-transfer-temperature-difference","display_name":"heat transfer temperature difference","score":0.8029999732971191},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.796999990940094},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"simulated annealing","score":0.9580000042915344},{"id":"https://openalex.org/keywords/building-materials","display_name":"building materials","score":0.6359999775886536},{"id":"https://openalex.org/keywords/mixed-integer-nonlinear-programming","display_name":"mixed-integer nonlinear programming","score":0.6489999890327454}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.643672525882721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6372865438461304},{"id":"https://openalex.org/C107706546","wikidata":"https://www.wikidata.org/wiki/Q189124","display_name":"Heat exchanger","level":2,"score":0.5990983247756958},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5979098677635193},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.596551775932312},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49894213676452637},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4763498604297638},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4489907920360565},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4277111291885376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3905662000179291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34428733587265015},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.2770071029663086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27472785115242004},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08207827806472778},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2507911041","doi":"https://doi.org/10.6967/jcice.200607.0383","is_oa":false,"landing_page_url":"https://www.airitilibrary.com/Publication/Index/03681653-200607-37-4-383-394-a","pdf_url":null,"source":{"id":"https://openalex.org/S82500661","display_name":"Journal of The Chinese Institute of Chemical Engineers","issn_l":"0368-1653","issn":["0368-1653","1876-1062"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of The Chinese Institute of Chemical Engineers","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"sustainable_development_goals_aurora":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2363422115","https://openalex.org/W2349213689","https://openalex.org/W2578759793","https://openalex.org/W2775061503","https://openalex.org/W1982077959","https://openalex.org/W2064231398","https://openalex.org/W2269247948","https://openalex.org/W2349321669","https://openalex.org/W2951560758","https://openalex.org/W2017682638","https://openalex.org/W339847454","https://openalex.org/W2346271898","https://openalex.org/W1975315783","https://openalex.org/W3146371406","https://openalex.org/W2393907181","https://openalex.org/W2083702853","https://openalex.org/W2011076840","https://openalex.org/W2376686018","https://openalex.org/W2119775153","https://openalex.org/W1526463193"],"abstract_inverted_index":{"The":[0,146],"heat":[1,66,97,131],"exchanger":[2,67],"network":[3,68],"(HEN)":[4],"synthesis":[5,35,70,85,127],"problem":[6,41,86,117,128],"is":[7,45,71,118],"generally":[8],"formulated":[9],"as":[10],"a":[11,54],"mixed":[12],"integer":[13],"nonlinear":[14,56],"programming":[15,57],"(MINLP)":[16],"by":[17,120],"using":[18,102,142],"the":[19,33,37,40,61,111,116,121,143,151],"concept":[20],"of":[21,39,42,48,60,115,150],"HEN":[22,34],"superstructures.":[23],"Although":[24],"these":[25],"MINLP":[26],"formulations":[27],"can":[28,79,139],"be":[29,80,140],"used":[30,81],"to":[31,82],"solve":[32,83],"problem,":[36],"size":[38,112],"their":[43,49],"application":[44],"restrained":[46],"because":[47],"complexity.":[50],"In":[51],"this":[52],"study,":[53],"new":[55],"(NLP)":[58],"formulation":[59,78,153],"simultaneous":[62],"model":[63],"for":[64],"multi-stream":[65],"(MSHEN)":[69],"proposed":[72],"based":[73,93],"on":[74,94,110],"stream":[75,96],"pseudo-temperature.":[76],"This":[77],"MSHEN":[84,126],"with":[87,129],"temperature":[88,99],"enthalpy":[89],"(T-H)":[90],"diagram":[91],"method":[92],"optimal":[95],"transfer":[98,132],"difference":[100],"contributions":[101],"genetic/simulated":[103],"annealing":[104],"algorithm":[105,155],"(GA/SA).":[106],"A":[107],"significant":[108],"reduction":[109],"and":[113,135,148,154],"complexity":[114],"achieved":[119],"NLP":[122,144,152],"formulation.":[123,145],"Large":[124],"scale":[125],"unequal":[130],"film":[133],"coefficients":[134],"different":[136],"construction":[137],"materials":[138],"solved":[141],"performance":[147],"efficiency":[149],"are":[156],"demonstrated":[157],"through":[158],"two":[159],"examples.":[160]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
