(27b) Impact of Parcel Size, Field Shape, Crop Yield, Storage Location and Collection Equipment on the Performance of Harvest System in Shrub Willow Fields

Authors: 
Ebadiana, M., University of British Columbia
Sheddenb, M. E., Oak Ridge National Laboratory
Sokhansanj, S., University of British Columbia
Eisenbies, M., State University of New York College of Environmental Science and Forestry
Volk, T. A., State University of New York - College of Environmental Science & Forestry
Heavey, J., State University of New York, College of Environmental Science and Forestry
Hallen, K., State University of New York College of Environmental Science and Forestry
In this study, an integrated system of harvesting, collecting and transporting willow biomass crop to a storage site is modeled and evaluated using the IBSAL simulation model. A scenario analysis is used to quantify the impacts of five major input parameters on the performance of the integrated system. These parameters include parcel size, field shape, willow yield, distance to the storage site, and type of the collection equipment. Multiple performance indicators are identified to quantify the impacts on the system such as size of the equipment fleet, effective material and field capacity of the harvester, operating costs, and waiting times. The input data are collected from 36 commercial, short-rotation, shrub willow fields in northern New York State. The simulation results indicate that crop yield and type of collection equipment have the highest impact on operating costs and the equipment fleet size. As the size of equipment fleet increases in the system, variability in the system performance tends to increase. Field shape has the lowest impact on the overall system performance compared to the other four input parameters. The simulation results suggest that a combination of performance indicators need to be considered to evaluate the overall performance of a dynamic and complex system of harvesting, collection and transportation. This study enhances the understanding of the dynamics and complexity of this system. The developed IBSAL model and scenario analysis approach can assist in planning this system based on the characteristics of field, crop and logistical equipment to reach a high system performance.
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