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  4. A NATIONWIDE HAZARD-INTEGRATED AGRIVOLTAIC SUITABILITY ASSESSMENT FOR THE CONTIGUOUS UNITED STATES: A FUZZY MULTI-CRITERIA APPROACH

A NATIONWIDE HAZARD-INTEGRATED AGRIVOLTAIC SUITABILITY ASSESSMENT FOR THE CONTIGUOUS UNITED STATES: A FUZZY MULTI-CRITERIA APPROACH

File(s)
Pan_cornell_0058O_12633.pdf (1.6 MB)
Permanent Link(s)
https://doi.org/10.7298/n2bt-8j16
https://hdl.handle.net/1813/120996
Collections
Cornell Theses and Dissertations
Author
Pan, Yuhe
Abstract

This research develops the first nationwide agrivoltaic suitability assessment for the contiguous United States, integrating natural hazard risk evaluation. While existing frameworks evaluate technical and economic criteria, they inadequately address risks from natural hazards. This study employs Fuzzy Analytic Hierarchy Process (FAHP) integrated with GIS analysis at county-level resolution, incorporating four primary hazards: hailstorms, strong winds, tornadoes, and wildfires. Hazard-specific risk matrices combining severity classifications with historical frequency generate composite risk scores. Baseline analysis identifies 2,339,237 km² meeting minimum suitability thresholds. Integration of natural hazard risks reveals substantial reductions, with an average 71.7% decrease across 42 states with complete data, and some states experiencing reductions exceeding 99%. Despite constraints, approximately 668,000 km² of hazard-resilient suitable area remains, representing potential capacity exceeding 334 GW. This framework provides critical decision support for resilient agrivoltaic infrastructure development and risk mitigation strategies.

Description
43 pages
Date Issued
2025-12
Keywords
Agrivoltaics
•
Fuzzy AHP
•
GIS
•
Multi-criteria decision analysis
•
Natural hazards
•
Suitability assessment
Committee Chair
Srikrishnan, Vivek
Committee Member
Zhang, Ke
Degree Discipline
Systems Engineering
Degree Name
M.S., Systems Engineering
Degree Level
Master of Science
Type
dissertation or thesis

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