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Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes

MPS-Authors
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Maggi,  Andrea
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Wenzel,  Marcus
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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maggi_3262369.pdf
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Citation

Maggi, A., Wenzel, M., & Sundmacher, K. (2020). Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes. Frontiers in Energy Research, 8: 161. doi:10.3389/fenrg.2020.00161.


Cite as: https://hdl.handle.net/21.11116/0000-0007-6FB1-5
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