Infield bale aggregation is essential for bale removal and preparing the field for subsequent crops, which can be more efficiently performed using the modern automatic bale picker (ABP) that supports multiple bales/trip (BPT) than commonly used tractors. But the energy involved in the bale aggregation logistics using ABP has not been thoroughly evaluated. Therefore, the energy involved in the bale aggregation, in terms of fuel consumption, was studied for different logistic scenarios using a tractor (control) and ABP through a user-developed simulation program in R. Different variables such as field areas (8 to 259 ha), biomass yields (3–40 Mg ha${}^{-1}$), four outlet locations, and five equipment speeds (6.6–10.5 km h${}^{-1}$) using realistic equipment turning paths were used in the simulation. The Nebraska Tractor Test general method and fuel efficiency method were considered for the fuel consumption calculations. Fuel consumption for the ABP (8–259 ha) with 8 BPT on an average decreased by 72 % and 53 % compared to a tractor with 1 and 2 BPT, respectively, based on logistics distance and equipment operation. Field area, biomass yield, and BPT were the most influential variables affecting logistics distance; while, field area, biomass yield, BPT, and equipment speed affecting the operation time and fuel quantity. Convenient prediction models (multi-variate nonlinear) for logistics distance, operation time, and fuel quantity, using the influential field variables, produced very good fits ($R^2\ge \text{0.98}$). Overall, an ABP with a capacity of 8 BPT, split which can also handle 11 BPT, is recommended considering the logistics energy.

内场草捆聚集对于除去草捆和为随后的农作物做准备是必不可少的，这可以通过使用现代的自动捆草机（ABP）来进行，而该捆草机比常用的拖拉机支持更多的捆草/行程（BPT），可以更高效地进行。但是，使用ABP进行的打包聚合物流所涉及的能量尚未得到全面评估。因此，通过用户开发的R模拟程序，使用拖拉机（控制）和ABP通过拖拉机（控制装置）和ABP针对不同的后勤情景研究了包聚合中涉及的能量（燃料消耗）。不同的变量，例如田间面积（8至259）公顷），生物量产量（3–40 Mg公顷${}^{-\mathrm{1个}}$），四个出口位置和五个设备速度（6.6-10.5 km h${}^{-\mathrm{1个}}$）使用逼真的设备在仿真中使用了转弯路径。计算油耗时考虑了内布拉斯加州拖拉机试验的通用方法和燃油效率方法。根据物流距离和设备操作，与配备1 BPT和2 BPT的拖拉机相比，采用8 BPT的ABP（8-259公顷）的平均油耗分别降低了72％和53％。田间面积，生物量产量和BPT是影响物流距离的最有影响力的变量。而田间面积，生物量产量，BPT和设备速度会影响运行时间和燃料量。使用有影响力的现场变量，针对物流距离，运行时间和燃油量的便捷预测模型（多元非线性）产生了很好的拟合度（${\mathrm{[R}}^2\ge \text{0.98}$）。总体而言，考虑到物流能量，建议使用容量为8 BPT的ABP，拆分后也可以处理11 BPT。