EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
2375. Sustainable Supply Chain Design for CO2 Electrolysis under CO2-based Syngas Demand Uncertainty
Invited abstract in session MC-24: Clean Energy Supply Chains, stream Sustainable Supply Chains.
Monday, 12:30-14:00Room: 83 (building: 116)
Authors (first author is the speaker)
1. | Ozlem Mahmutogullari
|
Eindhoven University of Technology | |
2. | Nevin Mutlu
|
Eindhoven University of Technology | |
3. | Tarkan Tan
|
Industrial Engineering Department, Eindhoven University of Technology | |
4. | Floor Alkemade
|
Industrial Engineering and Innovation Sciences, Eindhoven University of Technology |
Abstract
The industrial sector is one of the major contributors to greenhouse gas emissions worldwide; it is therefore important to promote the use of alternative and emerging technologies that employ non-fossil-based feedstocks and renewable energy sources to meet the net-zero greenhouse gas emissions target. The electrolysis of CO2 (CO2E) is a carbon capture and utilization technology with the potential to produce chemicals and fuels by using water (H2O) and electricity. We consider the generation of CO2-based syngas (CO\H2) by high-temperature CO2 electrolysis as an alternative route to steam methane reforming that employs natural gas. Syngas is used in the chemical industry as a chemical building block and in the transportation sector as an intermediate for fuel production. Currently, fossil-based syngas is only consumed at its production sites. In this paper, we propose syngas as a merchant product, but since its market transition is new, there is a lack of comprehensive data on its demand. This uncertainty in syngas market demand can significantly affect the adoption and successful implementation of CO2E technology. To deal with the uncertainty, we propose a robust supply chain design for CO2-based syngas where strategic decisions regarding investments in the electrolyser locations and pipeline infrastructure and operational decisions regarding the amounts of syngas produced and CO2 and syngas transported between echelons are made over a multi-period planning horizon.
Keywords
- Robust Optimization
- Location
- Supply Chain Management
Status: accepted
Back to the list of papers