Publication:
Optimal scheduling of boiler electrification for process decarbonization

cris.lastimport.scopus2025-04-28T22:07:26Z
cris.virtual.departmentChemical Engineeringen_US
cris.virtual.orcid0000-0002-1354-8329en_US
cris.virtualsource.department72cacb4f-0005-4f24-b667-e63a3158c15a
cris.virtualsource.orcid72cacb4f-0005-4f24-b667-e63a3158c15a
dc.contributor.authorJui‐Yuan Lee
dc.contributor.authorDominic C. Y. Foo
dc.contributor.authorCHENG-LIANG CHEN
dc.contributor.authorRaymond R. Tan
dc.date.accessioned2024-11-05T06:07:24Z
dc.date.available2024-11-05T06:07:24Z
dc.date.issued2024-10-18
dc.description.abstractProcess heat electrification offers the prospect of deep decarbonization of the chemical and allied industries. Replacing fossil fuel-fired boilers with electric units can reduce carbon emissions if the power mix has a large share of renewables. For multinational firms with plants in multiple locations, the electrification decisions should be scheduled based on grid carbon intensity projections and should also be coordinated among these subsidiaries. In addition, carbon credits can be traded among the multiple sites to allow lagging plants to reduce their carbon footprints. A novel mathematical model has been developed to optimize process heat electrification plans in multinational corporations. The model determines the optimal timing of electrification at each location, and also the necessary level of carbon trading among subsidiaries. An illustrative case study demonstrates how the model can be used to generate electrification plans that are superior to those based on simple heuristics.
dc.identifier10.1002/aic.18626
dc.identifier.doi10.1002/aic.18626
dc.identifier.issn00011541
dc.identifier.scopus2-s2.0-85206807377
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85206807377&origin=resultslist
dc.identifier.urihttps://scholars.lib.ntu.edu.tw/handle/123456789/722732
dc.publisherWiley
dc.relation.ispartofAIChE Journal
dc.relation.issn0001-1541
dc.relation.issn1547-5905
dc.rightsfalse
dc.subjectbi-objective optimization
dc.subjectmathematical programming
dc.subjectmultiperiod planning
dc.subjectnet-zero emissions
dc.subjectpower-to-heat technologies
dc.titleOptimal scheduling of boiler electrification for process decarbonization
dc.typejournal article
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: