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Summary of The Energy Implications of Drones for Package Delivery

Core Content

This document presents a study conducted by the RAND Corporation to analyze the energy implications of using delivery drones for small package delivery in urban areas, focusing on the city of Minneapolis. The study compares the energy use of traditional trucks and drones in delivering packages, particularly for the "last-mile" logistics of small, light items.

Main Findings

• Drones and Trucks in Delivery: Drones are expected to be used for small packages (5 lbs or less), while trucks handle larger and more complex deliveries.
• Energy Efficiency: Drones are significantly more energy-efficient than trucks for small package deliveries due to their lighter weight and optimized flight paths.
• Simulation Model: A simulation model based on real data from Minneapolis was used to estimate the energy use of both delivery methods.
• Scenario Analysis: A 20% shift of delivery stops from trucks to drones is projected to result in:
  • 13 fewer truck delivery areas
  • 468 fewer truck miles
  • 46.8 fewer gallons of diesel fuel
  • 1,550 drone trips totaling 9,406 miles flown
  • Energy equivalent of 20.4 gallons of diesel for drone deliveries
• Net Energy Savings: The overall net energy savings from using drones for 20% of deliveries is 26.4 gallons of diesel, representing a 5.7% reduction in energy use for the 10-mile radius area.

Key Points

• Methodology: The study uses a geographic information system (GIS) analysis and data from the National Renewable Energy Laboratory (NREL) to simulate the delivery process.
• Assumptions:
  • Drones are assumed to be similar to Amazon Prime Air's design.
  • Drone fuel economy is estimated at 460 MPGe (miles per gallon equivalent).
  • The analysis assumes a 20% share of drone deliveries in the total delivery stops.
• Impact on Energy Use:
  • The shift from trucks to drones would reduce the number of truck routes and miles driven.
  • Drones would consume less energy due to their lighter weight and efficient flight patterns.
  • The energy savings would be even more significant if trucks are converted to lower-carbon fuels.
• Limitations:
  • The study uses a limited dataset and simplified assumptions.
  • The analysis assumes constant population density within delivery districts, which may not reflect real-world variations.
  • Airspace restrictions, noise abatement zones, and terrain may affect actual drone performance, but the study assumes minimal deviation from ideal flight paths.

Broader Implications

• Environmental Benefits: Drone delivery would reduce the carbon footprint and local air pollution due to the use of electric power.
• Urban Planning: The study highlights the potential for drones to influence urban infrastructure, traffic management, and noise levels.
• Policy Considerations: The shift to drone delivery could have significant implications for energy policy, urban development, and the broader transportation sector.

Related RAND Publications

• What's the Buzz on Delivery Drones? (Welser and Xu, 2016)
• What's the Buzz? The City-Scale Impacts of Drone Delivery (Lohn, 2017)
• Design Perspectives on Delivery Drones (Xu, 2017)
• Small Unmanned Aerial System Certification and Traffic Management Systems (Kuhn, forthcoming)
• International Commercial Drone Regulation and Drone Delivery Services (Jones, forthcoming)

Conclusion

The study concludes that while the energy use of drones and trucks for small package delivery is of similar magnitude, drones offer a more energy-efficient and environmentally friendly alternative. The shift to drone delivery could lead to a net energy saving of 5.7%, depending on the delivery strategy and drone design. The findings support the idea that drones may play an important role in reducing the energy intensity of urban package delivery systems, especially as battery technology and drone design continue to improve.