Efficient Solution Strategy for Hydrogen Network Synthesis Considering the Group Cascade Layout of Compressors

Hydrogen is an important raw material for fuel and other chemical products in refineries. Hydrogen consumption can be reduced through a hydrogen recovery system known as a hydrogen network (HN). Optimizing the HN, particularly concerning compressor arrangements, has been consistently been challenging. To achieve a simultaneous solution, traditional research often necessitates structural simplifications in modeling, which excludes many alternative compressor layouts and potentially results in suboptimal solutions. To address this problem, this work proposes a HN model considering the group cascade layout of compressors, which accounts for a wide array of potential scenarios involving up to three compressors connected in series. A new optimization-based two-stage solution strategy is correspondingly introduced to assist the simultaneous HN synthesis, which also makes the issues with uncertain pressures solvable. The performance of this method has been demonstrated to be exceptional across all three studied cases. The optimal results of the first two cases exhibit a compressor cost saving of 2%–3% and the shortest solution time compared with recent studies. The final case illustrates that this model is capable of addressing the issues involving the process unit pressure optimization.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2024-11-18
DOI
https://doi.org/10.1021/acs.iecr.4c02785
Citations
3
Primary Topic
Process Optimization and Integration
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Solution Strategy for Hydrogen Network Synthesis Considering the Group Cascade Layout of Compressors

Jian Du, Linlin Liu, Wenjin Zhou, Duankanghui Yang
3 citations
Industrial & Engineering Chemistry Research
Process Optimization and Integration
0.98
article

Efficient Solution Strategy for Hydrogen Network Synthesis Considering the Group Cascade Layout of Compressors

Jian Du, Linlin Liu, Wenjin Zhou, Duankanghui Yang
article en
3 citations

Abstract

Hydrogen is an important raw material for fuel and other chemical products in refineries. Hydrogen consumption can be reduced through a hydrogen recovery system known as a hydrogen network (HN). Optimizing the HN, particularly concerning compressor arrangements, has been consistently been challenging. To achieve a simultaneous solution, traditional research often necessitates structural simplifications in modeling, which excludes many alternative compressor layouts and potentially results in suboptimal solutions. To address this problem, this work proposes a HN model considering the group cascade layout of compressors, which accounts for a wide array of potential scenarios involving up to three compressors connected in series. A new optimization-based two-stage solution strategy is correspondingly introduced to assist the simultaneous HN synthesis, which also makes the issues with uncertain pressures solvable. The performance of this method has been demonstrated to be exceptional across all three studied cases. The optimal results of the first two cases exhibit a compressor cost saving of 2%–3% and the shortest solution time compared with recent studies. The final case illustrates that this model is capable of addressing the issues involving the process unit pressure optimization.

Industrial & Engineering Chemistry ResearchVol. 63(47)
Dalian University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Process Optimization and Integration
0.98
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.