date: 2020-11-20T12:24:09Z
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pdf:docinfo:title: Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes
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subject: Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes.
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dc:title: Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes
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cp:subject: Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes.
pdf:docinfo:subject: Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes.
pdf:docinfo:creator: Andrea Maggi
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meta:creation-date: 2020-09-26T01:42:22Z
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dc:description: Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes.
Keywords: sustainability, syngas, superstructure, biogas, CO2 utilization, Power-to-X, process synthesis
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dc:creator: Andrea Maggi
description: Within the context of energy transition scenarios toward renewable resources, superstructure optimization is implemented for the synthesis of sustainable and efficient Power-to-Syngas processes.
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Last-Modified: 2020-11-20T12:24:09Z
dcterms:modified: 2020-11-20T12:24:09Z
title: Mixed-Integer Linear Programming (MILP) Approach for the Synthesis of Efficient Power-to-Syngas Processes
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