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DOE OSTI · 3376963

Mauka Energy FEVER Tool Dataset

Hamilton, David [Mauka Energy Inc.]·Langevin, Christopher [Mauka Energy Inc.]
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Abstract

Mauka Energy’s dataset, developed under the Forestry Electric Vehicle Energy Routing (FEVER) project and funded by the U.S. Department of Energy’s Small Business Innovation Research program, is a high-resolution geospatial resource designed to support energy modeling for electric log trucks in complex forestry environments. The dataset integrates detailed spatial and road network data to enable accurate simulation of vehicle performance across varied terrain. At its core, the dataset incorporates lidar-derived elevation models, road alignments, and surface classifications from Oregon State University’s McDonald-Dunn Research Forest. These data capture fine-scale variations in slope, curvature, and surface conditions across forest road systems, allowing for vehicle-level analysis of energy consumption and recovery. The dataset also includes data collected on the surrounding public and private road networks in Benton County, Oregon, used in real-world haul routes. These connecting segments provide critical context for modeling transitions between forest operations and regional transportation infrastructure, incorporating attributes such as grade profiles, elevation change, and speed constraints. This combined dataset underpins the development of Mauka Energy’s rolldown tool, which quantifies energy use and regenerative braking potential on downhill and variable-grade segments. By leveraging high-resolution terrain and road data, the FEVER project enables more accurate assessment of electric vehicle feasibility and performance in forestry applications.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATIONelectric vehiclesenergy consumptionenergy efficiencyheavy-duty vehiclesimageryoff-road equipmentrural electrificationtrucks

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Hamilton, David [Mauka Energy Inc.], Langevin, Christopher [Mauka Energy Inc.]. 2026-07-08. Mauka Energy FEVER Tool Dataset. https://doi.org/10.15483/3376963

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