Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices

Utility supply networks and hydrogen (H2) supply networks have been consistently individually studied in terms of techno-economic feasibility of large scale. A number of studies have proposed and improved mathematical models for design of each optimized supply network. However, although two differen...

Full description

Saved in:
Bibliographic Details
Published in:Energy (Oxford) Vol. 114; pp. 418 - 430
Main Authors: Hwangbo, Soonho, Lee, In-Beum, Han, Jeehoon
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.11.2016
Subjects:
consumers (people)
electricity
Facility deployment
hydrogen
linear programming
mathematical models
methane
Mixed integer linear programming
Multi-period
Optimization
prices
raw materials
steam
Stochastic
uncertainty
Facility deployment
Stochastic
Mixed integer linear programming
Multi-period
Optimization
ISSN:0360-5442
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Utility supply networks and hydrogen (H2) supply networks have been consistently individually studied in terms of techno-economic feasibility of large scale. A number of studies have proposed and improved mathematical models for design of each optimized supply network. However, although two different networks can coexist in a large-scale industrial complex, few studies have been conducted to develop an integrated utility supply and H2 supply network (IUHSN) design in a techno-economic optimization framework. In this study, we design an IUHSN which includes a number of utilities (steam, water, and electricity), and H2 sources (manufacturers) and sinks (end customers). Steam methane reforming (SMR) process is used as an intermediate linkage between both networks. To obtain an optimal design of the IUHSN reflecting the reality, we develop a mathematical model which is formulated as multi-period stochastic mixed integer linear programming concerning uncertain raw material prices. This model allows identification of a promising design strategy to minimize total supply cost, because sources and sinks can be connected to each other to transfer unused resources and products. •IUHSN model integrating utility and H2 supply network is constructed.•SMR process is proposed as an intermediate linkage process in IUHSN.•Multi-period stochastic MILP model concerning uncertainty is developed.•Realistic strategies for an industrial complex can be suggested.•The case study of IUHSN model has the optimal results.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0360-5442
DOI:10.1016/j.energy.2016.08.003