001054234 001__ 1054234
001054234 005__ 20260211065243.0
001054234 0247_ $$2doi$$a10.1016/j.compchemeng.2026.109591
001054234 0247_ $$2ISSN$$a0098-1354
001054234 0247_ $$2ISSN$$a1873-4375
001054234 037__ $$aFZJ-2026-01751
001054234 082__ $$a660
001054234 1001_ $$0P:(DE-Juel1)187346$$aGlücker, Philipp$$b0$$eCorresponding author
001054234 245__ $$aUnlocking reactive power potential of industrial processes for voltage support through scheduling optimization
001054234 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2026
001054234 3367_ $$2DRIVER$$aarticle
001054234 3367_ $$2DataCite$$aOutput Types/Journal article
001054234 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1770746394_5904
001054234 3367_ $$2BibTeX$$aARTICLE
001054234 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001054234 3367_ $$00$$2EndNote$$aJournal Article
001054234 520__ $$aDemand response of industrial processes generally accounts for active power, but not reactive power which grows in importance for balancing local voltage levels in future electricity grids. We present an optimization-based approach to integrate reactive power into demand response scheduling and derive first estimates on the arising potentials. To this end, we extend a resource-task network scheduling model to account for the reactive power of electrically-powered process tasks, local power converters, and the local power grid. As an illustrative example, we study the multi-step copper production. We find a large achievable range of reactive power provision without compromising production volume or operating cost. Furthermore, we demonstrate how reactive power could be provided as an ancillary service by following a signal. Our results show that penalties or additional investment in compensation devices for power factor correction can be avoided through reactive power control of local power converters. Moreover, we demonstrate that industrial processes with sufficient capacity can alleviate voltage problems in transmission grids. Our work therefore lays the groundwork towards determining the reactive power scheduling potential of power-intensive production processes, and showcases its potential support for the voltage stability of future power grids.
001054234 536__ $$0G:(DE-HGF)POF4-1121$$a1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)$$cPOF4-112$$fPOF IV$$x0
001054234 536__ $$0G:(DE-HGF)POF4-1122$$a1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)$$cPOF4-112$$fPOF IV$$x1
001054234 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001054234 7001_ $$0P:(DE-Juel1)180409$$aGermscheid, Sonja H. M.$$b1
001054234 7001_ $$0P:(DE-Juel1)190183$$aOjeda, Ariana$$b2$$ufzj
001054234 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b3$$ufzj
001054234 7001_ $$0P:(DE-Juel1)172097$$aDahmen, Manuel$$b4
001054234 7001_ $$0P:(DE-Juel1)142000$$aPesch, Thiemo$$b5
001054234 773__ $$0PERI:(DE-600)1499971-7$$a10.1016/j.compchemeng.2026.109591$$gp. 109591 -$$p109591$$tComputers & chemical engineering$$v-$$x0098-1354$$y2026
001054234 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)187346$$aForschungszentrum Jülich$$b0$$kFZJ
001054234 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190183$$aForschungszentrum Jülich$$b2$$kFZJ
001054234 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179029$$aForschungszentrum Jülich$$b3$$kFZJ
001054234 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172097$$aForschungszentrum Jülich$$b4$$kFZJ
001054234 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)142000$$aForschungszentrum Jülich$$b5$$kFZJ
001054234 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1121$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x0
001054234 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1122$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x1
001054234 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCOMPUT CHEM ENG : 2022$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2025-11-12
001054234 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2025-11-12
001054234 920__ $$lyes
001054234 9201_ $$0I:(DE-Juel1)ICE-1-20170217$$kICE-1$$lModellierung von Energiesystemen$$x0
001054234 980__ $$ajournal
001054234 980__ $$aEDITORS
001054234 980__ $$aVDBINPRINT
001054234 980__ $$aI:(DE-Juel1)ICE-1-20170217
001054234 980__ $$aUNRESTRICTED