Optimal scheduling of boiler electrification for process decarbonization

Abstract Process 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.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2024-10-18
DOI
https://doi.org/10.1002/aic.18626
Citations
4
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
1.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal scheduling of boiler electrification for process decarbonization

Raymond R. Tan, Cheng‐Liang Chen, Jui‐Yuan Lee, Dominic C.Y. Foo
4 citations
AIChE Journal
Process Optimization and Integration
1.31
article

Optimal scheduling of boiler electrification for process decarbonization

Raymond R. Tan, Cheng‐Liang Chen, Jui‐Yuan Lee, Dominic C.Y. Foo
article en
4 citations

Abstract

Abstract Process 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.

AIChE JournalVol. 71(2)
University of Nottingham Malaysia Campus (MY), National Taiwan University (TW), De La Salle University (PH), National Cheng Kung University (TW)
Openalex Percentile: Top 19%
Process Optimization and Integration
1.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimal scheduling of boiler electrification for process decarbonization — Raymond R. Tan, Cheng‐Liang Chen, et al. · AIChE Journal (2024) | TGRS Research Map | TGRS