(763a) Design and Operation of Synthetic Fuels Production from Fossil and Renewable Resources
One way to bring down the GHG emissions without totally replacing the transportation infrastructure is to produce low-emission fuels require using renewable energy sources such as biomass, solar, and wind energy, as well as captured carbon. While, previous multi-scale engineering work by Floudas and coworkers focused on process synthesis of transportation fuels production from hybrid feedstock routes including coal, biomass, and municipal solid waste gasification, and natural gas reforming, their efforts mainly focused on optimal steady-state designs [4-7]. Integrating other renewable resources like wind and solar to that picture is challenging since steady-state analysis lacks the scheduling aspect of dynamic operation resulting from the intermittency of wind and solar availability [8,9].
In this work, we will consider synthetic fuels production from a variety of fossil and renewable resources including natural gas, biomass, captured carbon dioxide together with wind and solar energy. The hourly, daily, and seasonal fluctuations in solar irradiation and wind speed are modeled by using an hourly discretized multi-period formulation. The formulation allows us to find the optimal process design along with the optimal operating strategy for an annual time horizon. The resulting optimization model is a mixed-integer linear programming (MILP) problem. Case studies will be presented to investigate the design and operation of process networks that (i) synthesize low-emission fuels, (ii) produce fuels that are price competitive with fossil-based counterparts, and (iii) find the optimal renewable penetration level for the investment made.
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