02250naa a2200325 a 450000100080000000500110000800800410001910000190006024501020007926000090018152013180019065000160150865000240152465000180154865300270156665300180159365300180161165300270162965300250165665300280168170000190170970000220172870000220175070000190177270000160179170000190180770000170182670000150184377300660185821835482026-01-15 2024 bl uuuu u00u1 u #d1 aDIAS, I. L. R. aModeling and optimizing sugarcane-livestock integration systems in Brazil.h[electronic resource] c2024 aThe expansion of ethanol production in Brazil sparks several sustainability concerns, including debates on “food versus fuel”, the environmental impacts of monocultures, and indirect land-use change. Since livestock farming occupies a significantly greater area than sugarcane for ethanol production in Brazil and has a large yield gap, sugarcane-livestock integration can be a promising alternative. This integrated system considers crop production systems, biorefinery processing and meat production in both intensive and extensive livestock farming. Optimizing this system for both economic and environmental aspects can be challenging to implement and computationally expensive as this system’s complexity arises from nonlinear subsystems and their intertwining input-output flows. For these reasons, this paper develops metamodels from detailed models to: (i) Optimize the extensive livestock farming, (ii) Optimize the confined animal feeding, and (iii) Optimize the integrated system. The main objective is to maximize the Net Present Value relative to investment. This study contributes to the literature by developing innovative models for ethanol-beef integrated production systems and methods for optimizing such systems to avoid negative externalities on food security and environmental impacts. aBeef cattle aExperimental design aGado de Corte aBeef cattle production aBiorefineries aBiorrefinaria aDesign de experimentos aFood versus biofuels aOptimization metamodels1 aCARDOSO, T. F.1 aJIMENEZ, A. C. M.1 aMARQUES, J. G. O.1 aBARIONI, L. G.1 aBARBOSA, F.1 aMARIANO, A. P.1 aCUNHA, M. P.1 aBONOMI, A. tComputer Aided Chemical Engineeringgv. 53, p. 757-762, 2024.