Scalable Truck Charging Demand Simulation for Cost-Optimized Infrastructure Planning

Xu, Yanzhi; Snodgrass, Jonathan; Overbye, Thomas; Finch, Patrick; Safdarian, Farnaz; Wallison, Diana; Das, Siddharth; Patil, Priyadarshan

doi:10.2172/2563427

DOE OSTI · 2563427

Scalable Truck Charging Demand Simulation for Cost-Optimized Infrastructure Planning

Xu, Yanzhi·Snodgrass, Jonathan·Overbye, Thomas·Finch, Patrick·Safdarian, Farnaz·Wallison, Diana·Das, Siddharth·Patil, Priyadarshan

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Abstract

This project developed a scalable, high-resolution model to simulate medium- and heavy-duty (MHD) electric truck charging demand and assess its impact on grid infrastructure. Using generative modeling, simulation, and cost optimization, the project delivered an end-to-end software pipeline and a library of 96 real-world scenarios for the Dallas–Houston megaregion. We demonstrated a modular architecture for transportation and grid modeling, implemented cost-optimized infrastructure planning methods, and quantified grid capital, operational, and environmental costs across a wide range of truck electrification scenarios. The results have been adopted by major utility stakeholders and contributed to regional planning efforts.

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24 POWER TRANSMISSION AND DISTRIBUTION Truck electrification, charging demand simulation, grid optimization, cost-benefit analysis, managed charging, infrastructure planning

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Xu, Yanzhi, Snodgrass, Jonathan, Overbye, Thomas, Finch, Patrick, Safdarian, Farnaz, Wallison, Diana, Das, Siddharth, Patil, Priyadarshan. 2025-04-30. Scalable Truck Charging Demand Simulation for Cost-Optimized Infrastructure Planning. https://doi.org/10.2172/2563427

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