Sensitivity analysis using a grain storage facility model

A sensitivity analysis experiment was carried out using a grain storage facility model, typified as dynamic, stochastic and discrete. This model was implemented by using ExtendTM software and a simulation toolset named "Grain Facility Library". This library holds a set of blocks that allows simulating: (i) grain processing unit operations, (ii) operational decisions, and (iii) electric energy and fuel consumption. Models, developed by using "Grain Facility Library" can be used to: (i) conduct grain storage facility feasibility analysis, (ii) define the ideal type of structures, process machines, and conveyors, (iii) detect bottlenecks, (iv) plan maintenance services, (v) optimize consumption of electricity and heat energy, (vi) test the impact of different operating conditions on the grain facility storage sector, and (vi) support simulation experiments, such as sensitivity analysis, scenario analysis, optimization, and Monte Carlo simulation. Specifically, in this work the model refers to one grain storage facility that annually receives approximately 9,500 t of corn, has four receiving pits with a holding capacity of 60 t each, one dryer with a drying capacity of 40 t/h, and four storage bins with a total storage capacity of 6,600 tonnes. The sensitivity analysis experiment was carried with the objective to verify the impact on firewood and electrical energy consumptions when happens: (i) a 10 % increase or decrease in the quantity of raw product received, and (ii) a 2 percentage point increase or decrease in this raw product's initial moisture content. The 2 % reduction in raw product initial moisture content resulted in the highest magnitude impacts, causing a decrease average of 14.90 % in firewood consumption, 15.10 % in specific firewood consumption, 7.90 % in electrical energy consumption, and 15.15 % in specific electrical energy consumption at drying sector.