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

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.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-6FB1-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-6FB2-4
Genre: Journal Article

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Copyright © 2020 Maggi, Wenzel and Sundmacher. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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 Creators:
Maggi, Andrea1, Author              
Wenzel, Marcus1, Author              
Sundmacher, Kai1, 2, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fenrg.2020.00161
Other: data_escidoc:3262369
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Title: Frontiers in Energy Research
Source Genre: Journal
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Pages: - Volume / Issue: 8 Sequence Number: 161 Start / End Page: - Identifier: ISSN: 2296-598X