Koyuno?lu C.Karaca H.2024-08-042024-08-0420191877-0509https://doi.org/10.1016/j.procs.2019.09.068https://hdl.handle.net/11616/918303rd World Conference on Technology, Innovation and Entrepreneurship, WOCTINE 2019 -- 21 June 2019 through 23 June 2019 -- 141488Biomass crude oil generation technology is currently up-to-date in terms of reducing emissions. However, the studies are mostly considered as an alternative to aviation, sea and automative transportation vehicles added to the fuel mixture and are among the new technologies to reduce CO2 emissions such as global warming and reduction of greenhouse gases. The rate of production of crude biofuels obtained from biomass, a renewable energy source, according to a reactor size determined by industry 4.0 will be determined using Ansys software in this study. The simulation program to be used shall be made with the mixer module of the ansys software. Our modeling study, which is based on the data obtained from the literature, is about the verification of the reactions with simulation values. The simulation values we make to ensure the correct solid distribution in the reactor are important for the formation of the correct reaction conditions. The production of liquid fuel from biomass cannot go beyond pilot scale trials. Apart from this, many fuel tests are expensive, mostly due to the withdrawal of investors from feasibility studies. In the design of the factory, industry 4.0 applications provide a solution that will provide the cheapest installation cost of all fuel tests, as well as facilitating the repayment of the investment cost. Beyond that, it will not be wrong to say that the actual data will give direction to the correct operation conditions. Ansys software emphasizes the use of a stirred tank reactor in this study as a tool for modeling an experimental method as well as for pilot and industrial applications. © 2019 The Authors. Published by Elsevier B.V.eninfo:eu-repo/semantics/openAccessBiomass liquefactionComputational Fluid DynamicsIndustry 4.0Process optimizationConference Object15840140610.1016/j.procs.2019.09.0682-s2.0-85076260881N/A