Unique Presentation Identifier:
P45
Program Type
Undergraduate
Faculty Advisor
Dr. Matthew Young
Document Type
Poster
Location
Face-to-face
Start Date
29-4-2025 11:30 AM
Abstract
Accurately determining short-circuit fault contribution from utilities is a major challenge in arc flash incident energy analysis. Utilities may withhold or frequently alter data, and the presence of distributed generation complicates worst-case scenario identification. Additionally, commercially available software imposes limitations on scenario modeling and calculations, restricting engineers' ability to refine results. This research introduces an iterative approach that enhances worst-case arc flash identification while addressing software constraints. Initially, the study applied this approach to various facility models using commercial tools, comparing different methodologies. However, the focus has since evolved into developing an open-source arc flash calculator. This tool surpasses existing software by enabling more detailed analysis, incorporating additional calculations, and allowing engineers to input custom protective device time-current curves (TCCs). Unlike proprietary solutions, this calculator provides transparency and flexibility, making it possible to refine incident energy estimates in cases where utility-provided fault data is unreliable. By integrating iterative analysis with an advanced open-source calculation platform, this project empowers engineers with greater control over arc flash modeling. The result is improved accuracy, adaptability, and accessibility in hazard evaluation, ensuring a more comprehensive approach to arc flash safety.
Recommended Citation
Giese, Zachary, "An Iterative Approach to Utility Contribution for Arc Flash Incident Energy Calculations" (2025). ATU Student Research Symposium. 17.
https://orc.library.atu.edu/atu_rs/2025/2025/17
Included in
An Iterative Approach to Utility Contribution for Arc Flash Incident Energy Calculations
Face-to-face
Accurately determining short-circuit fault contribution from utilities is a major challenge in arc flash incident energy analysis. Utilities may withhold or frequently alter data, and the presence of distributed generation complicates worst-case scenario identification. Additionally, commercially available software imposes limitations on scenario modeling and calculations, restricting engineers' ability to refine results. This research introduces an iterative approach that enhances worst-case arc flash identification while addressing software constraints. Initially, the study applied this approach to various facility models using commercial tools, comparing different methodologies. However, the focus has since evolved into developing an open-source arc flash calculator. This tool surpasses existing software by enabling more detailed analysis, incorporating additional calculations, and allowing engineers to input custom protective device time-current curves (TCCs). Unlike proprietary solutions, this calculator provides transparency and flexibility, making it possible to refine incident energy estimates in cases where utility-provided fault data is unreliable. By integrating iterative analysis with an advanced open-source calculation platform, this project empowers engineers with greater control over arc flash modeling. The result is improved accuracy, adaptability, and accessibility in hazard evaluation, ensuring a more comprehensive approach to arc flash safety.