Design of hydrogen transmission pipeline networks with hydraulics

•An MILP model for design of hydraulic pipeline network for hydrogen transmission is developed.•Expansion of the model to determine the optimal location(s) for hydrogen supply.•The optimisation problem is applied to a case study on Germany to examine its applicability. In order to enable a more sust...

Full description

Saved in:
Bibliographic Details
Published inChemical engineering research & design Vol. 131; pp. 266 - 278
Main Authors Weber, Alexandra C., Papageorgiou, Lazaros G.
Format Journal Article
LanguageEnglish
Published Rugby Elsevier B.V 01.03.2018
Elsevier Science Ltd
Subjects
Computational fluid dynamics
Energy industry
Flow velocity
Fluid flow
Hydraulic engineering
Hydraulics
Hydrogen
Hydrogen pipeline networks
Integer programming
Linear programming
MILP
Multi-objective optimisation
Operations research
Pareto optimization
Pipeline design
Pipeline safety
Pipelines
Risk assessment
Site selection
MILP
Hydrogen pipeline networks
Hydraulics
Multi-objective optimisation
Online AccessGet full text

Cover

More Information
Summary:•An MILP model for design of hydraulic pipeline network for hydrogen transmission is developed.•Expansion of the model to determine the optimal location(s) for hydrogen supply.•The optimisation problem is applied to a case study on Germany to examine its applicability. In order to enable a more sustainable transport sector in the future, a mixed-integer linear programming (MILP) model is developed with the aim of designing a pipeline network for hydrogen transmission. The objective of the optimisation is the minimisation of the network cost while taking hydraulics into consideration. Relevant features, i.e., maximum flow rate and facility location problem are included. Furthermore, the objective of pipeline safety is investigated based on an index-based risk assessment by Kim et al. (2011). To examine the capabilities of the developed model, a case study on Germany is conducted for several scenarios. The optimised networks are discussed and compared. A Pareto frontier is computed in order to study the trade-off between network cost and safety.
ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2018.01.022