<div class="csl-bib-body">
<div class="csl-entry">Huber, D., Birkelbach, F., & Hofmann, R. (2024). Unlocking the potential of synthetic fuel production: Coupled optimization of heat exchanger network and operating parameters of a 1 MW power-to-liquid plant. <i>Chemical Engineering Science</i>, <i>284</i>, Article 119506. https://doi.org/10.1016/j.ces.2023.119506</div>
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dc.identifier.issn
0009-2509
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190186
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dc.description.abstract
The use of synthetic fuels is a promising way to reduce emissions significantly. To accelerate cost-effective large-scale synthetic fuel deployment, we optimize a novel 1 MW PtL-plant in terms of PtL-efficiency and fuel production costs. For numerous plants, the available waste heat and temperature level depend on the operating point. To optimize efficiency and costs, the choice of the operating point is included in the heat exchanger network synthesis. All nonlinearities are approximated using piecewise linear models and transferred to MILP. Adapting the epsilon constraint method allows us to solve the multi-criteria problem with uniformly distributed solutions on the Pareto front. We improved the lowest production costs of 1.89 €/kg and the highest efficiency of 58.08% from the conventional design process to 1.83 €/kg and 61.33 %. By applying the presented method, climate-neutral synthetic fuels can be promoted and emissions can be reduced in the long term.
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.publisher
Elsevier
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dc.relation.ispartof
Chemical Engineering Science
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
synthetic fuels
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dc.subject
power-to-liquid
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dc.subject
mixed integer linear programming
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dc.subject
heat exchanger network synthesis
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dc.subject
multi-criteria optimization
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dc.title
Unlocking the potential of synthetic fuel production: Coupled optimization of heat exchanger network and operating parameters of a 1 MW power-to-liquid plant