A supply chain optimization framework for CO2 emission reduction
| Autor: | Kalyanarengan Ravi, N., Zondervan, E., van Sint Annaland, M., Fransoo, J.C., Grievink, J., Claus, T., Herrmann, F., Manitz, M., Rose, O. |
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| Přispěvatelé: | Chemical Engineering and Chemistry, Chemical Process Intensification, Operations Planning Acc. & Control |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Optimization
Engineering Operations research Linear programming Process (engineering) business.industry Supply chain CO reduction Flow network CCS Transport engineering Reduction (complexity) Work (electrical) Software deployment CO2 reduction Supply Chain Supply Chain optimization Supply chain optimization business Carbon capture Mathematical Model |
| Zdroj: | Proceedings-30th European Conference on Modelling and Simulation, ECMS 2016, 439-445 STARTPAGE=439;ENDPAGE=445;TITLE=Proceedings-30th European Conference on Modelling and Simulation, ECMS 2016 ECMS Proceedings-30th European Conference on Modelling and Simulation, ECMS 2016 |
| Popis: | A major challenge for the industrial deployment of a CO2 emission reduction methodology is to reduce the overall cost and the integration of all the nodes in the supply chain for CO2 emission reduction. In this work, we develop a mixed integer linear optimization model that selects appropriate sources, capture process, transportation network and CO2 storage sites and optimize for a minimum overall cost. Initially, we screen the sources and storage options available in the Netherlands at different levels of detail (locations and industrial activities) and present the network of major sources and storage sites at the more detailed level. Results for a case study estimate the overall optimized cost to be €47.8 billion for 25 years of operation and 54 Mtpa reduction of CO2 emissions (30% of the 2013 levels). This work also identifies the preferred technologies for the CO2 capture and we discuss the reasons behind it. The foremost outcome of this case study is that capture and compression consumes the majority of the costs and that further optimization or introduction of new efficient technologies for capture can cause a major reduction in the overall costs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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