{"id":"https://openalex.org/W7160257541","doi":"https://doi.org/10.48550/arxiv.2605.01173","title":"Limiting the Impact of AI Data Centers on Fatigue Life of Thermal Turbine Generators in the Grid: A Frequency-Domain Approach","display_name":"Limiting the Impact of AI Data Centers on Fatigue Life of Thermal Turbine Generators in the Grid: A Frequency-Domain Approach","publication_year":2026,"publication_date":"2026-05-02","ids":{"openalex":"https://openalex.org/W7160257541","doi":"https://doi.org/10.48550/arxiv.2605.01173"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.01173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01173","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.01173","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044997969","display_name":"Fiaz Hossain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hossain, Fiaz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018418367","display_name":"Nilanjan Ray Chaudhuri","orcid":"https://orcid.org/0000-0002-7832-9194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaudhuri, Nilanjan Ray","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135374136","display_name":"Alok Sinha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sinha, Alok","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045013829","display_name":"Sai Gopal Vennelaganti","orcid":"https://orcid.org/0000-0002-0716-1080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vennelaganti, Sai Gopal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135305467","display_name":"Mohammed E. Nassar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nassar, Mohammed E.","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.51419997215271,"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"}},"topics":[{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.51419997215271,"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"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.14139999449253082,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.0737999975681305,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phasor","display_name":"Phasor","score":0.7809000015258789},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.5329999923706055},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4918999969959259},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4830000102519989},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46560001373291016},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4253000020980835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3978999853134155}],"concepts":[{"id":"https://openalex.org/C176605952","wikidata":"https://www.wikidata.org/wiki/Q827674","display_name":"Phasor","level":4,"score":0.7809000015258789},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5329999923706055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5097000002861023},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4918999969959259},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46560001373291016},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39489999413490295},{"id":"https://openalex.org/C196796808","wikidata":"https://www.wikidata.org/wiki/Q132629","display_name":"Electrical network","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C2986056383","wikidata":"https://www.wikidata.org/wiki/Q556030","display_name":"Power flow","level":4,"score":0.31360000371932983},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2937000095844269},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.2816999852657318},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C12839126","wikidata":"https://www.wikidata.org/wiki/Q5318989","display_name":"Dynamic load testing","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.01173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01173","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.01173","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01173","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.879814863204956,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"framework":[1],"is":[2,39,44,73],"established":[3],"that":[4,38,104,116],"assesses":[5],"the":[6,19,26,49,58,61,77,89,93,96,111,118,129,135,140,150,164,169,174,177,186,202,205,209],"impact":[7],"of":[8,22,25,88,92,134,176,204],"variations":[9],"in":[10,53,65,120,132,168,185],"artificial":[11],"intelligence":[12],"(AI)":[13],"data":[14],"center":[15],"(DC)":[16],"loads":[17],"on":[18,51,106,208],"fatigue":[20],"damage":[21],"steam/gas":[23],"turbines":[24],"synchronous":[27],"generators":[28],"(SGs)":[29],"from":[30,76],"torsional":[31],"oscillations.":[32],"Next,":[33],"a":[34,84,101,125,145,195],"simple":[35],"three-step":[36],"process":[37],"supported":[40],"by":[41],"frequency-domain":[42,181],"analysis":[43],"laid":[45],"out":[46],"to":[47,109,128,148,153,162],"quantify":[48],"limits":[50],"fluctuations":[52,167],"AI":[54,121,155,170],"DC":[55,122],"loads.":[56],"In":[57,95,139],"first":[59,78],"step,":[60,98,142],"maximum":[62],"allowable":[63,166],"variation":[64],"electrical":[66],"power":[67,137],"output":[68],"at":[69,124],"each":[70,133],"SG":[71,136],"terminal":[72],"independently":[74],"determined":[75],"principles.":[79],"This":[80],"step":[81],"needs":[82],"only":[83],"lumped":[85],"multi-mass":[86],"model":[87],"mechanical":[90],"side":[91],"SG.":[94],"second":[97],"we":[99,143,200],"propose":[100,144],"new":[102],"approach":[103,179,207],"relies":[105],"load":[107,123],"flow":[108],"determine":[110,163],"so-called":[112],"algebraic":[113],"`interaction":[114],"factor'":[115],"maps":[117],"change":[119,131],"given":[126],"bus":[127,192],"corresponding":[130],"outputs.":[138],"third":[141],"screening":[146],"method":[147],"rank":[149],"candidate":[151],"buses":[152],"site":[154],"DCs":[156],"and":[157,182,190],"solve":[158],"an":[159],"optimization":[160],"problem":[161],"optimal":[165],"DCs.":[171],"We":[172],"demonstrate":[173,201],"applicability":[175],"proposed":[178,206],"through":[180],"time-domain":[183],"analyses":[184],"modified":[187],"IEEE":[188],"4-machine":[189],"IEEE-68":[191],"systems":[193],"using":[194],"dynamic":[196],"phasor":[197],"framework.":[198],"Finally,":[199],"scalability":[203],"synthetic":[210],"2000-bus":[211],"Texas":[212],"system.":[213]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-06T00:00:00"}
