Dynamic simulation of different transport options of renewable hydrogen to a refinery in a coupled energy system approach

Publikationstyp
Journal Article
Date Issued
2018-09-21
Sprache
English
Author(s)
Andresen, Lisa  
Bode, Carsten  
Schmitz, Gerhard  
Institut
Technische Thermodynamik M-21  
TORE-DOI
10.15480/882.2070
TORE-URI
http://hdl.handle.net/11420/2074
Journal
International journal of hydrogen energy  
Volume
43
Issue
42
Start Page
19600
End Page
19614
Citation
International Journal of Hydrogen Energy 42 (43): 19600-19614 (2018-10-18)
Publisher DOI
10.1016/j.ijhydene.2018.08.111
Scopus ID
2-s2.0-85053809175
Publisher
Elsevier
Three alternative transport options for hydrogen generated from excess renewable power to a refinery of different scales are compared to the reference case by means of hydrogen production cost, overall efficiency, and CO2 emissions. The hydrogen is transported by a) the natural gas grid and reclaimed by the existing steam reformer, b) an own pipeline and c) hydrogen trailers. The analysis is applied to the city of Hamburg, Germany, for two scenarios of installed renewable energy capacities. The annual course of excess renewable power is modeled in a coupled system approach and the replaceable hydrogen mass flow rate is determined using measurement data from an existing refinery. Dynamic simulations are performed using an open-source Modelica® library. It is found that in all three alternative hydrogen supply chains CO2 emissions can be reduced and costs are increased compared to the reference case. Transporting hydrogen via the natural gas grid is the least efficient but achieves the highest emission reduction and is the most economical alternative for small to medium amounts of hydrogen. Using a hydrogen pipeline is the most efficient option and slightly cheaper for large amounts than employing the natural gas grid. Transporting hydrogen by trailers is not economical for single consumers and realizes the lowest CO2 reductions.
Subjects
Power-to-gas
Hydrogen substitution in a refinery
Transportation infrastructure
Production cost
CO2 emission
Dynamic simulation
DDC Class
620: Ingenieurwissenschaften
Lizenz
https://creativecommons.org/licenses/by/4.0/
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