  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. Thus, 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. The results show that compared to the conventional design
process, the production cost can be reduced to 1.83 EUR/kg and the
PtL-efficiency can be increased to 61.30 %. By applying the presented method,
climate-neutral synthetic fuels can be promoted and emissions can be reduced in
the long term.
