Comparison of IEEE 1584-2018 Predictions with Tests on Real-World Equipment

Citation Author(s):
Tom
Short
EPRI
Submitted by:
Tom Short
Last updated:
Tue, 05/17/2022 - 22:21
DOI:
10.21227/0rxx-mh92
Data Format:
*.csv
Research Article Link:
IEEE Standard 1584-2018 Predictions Compared With Tests on Real-World Equipment: Matching Data from Real-Equipment Testing
License:
Creative Commons Attribution
1077 Views
Categories:
Arc Flash
Keywords:
arc flash
0
0 ratings - Please login to submit your rating.
CITE SHARE/EMBED

Abstract 

Here is the paper abstract:

IEEE 1584-2018 contains a significant update to industry models for predicting the incident energy from arc flash. These models include different box sizes, voltages, and electrode geometries. Predictions from these models are compared to tests on medium-voltage equipment. Equipment includes circuit-breaker cabinets, live-front switches, and live-front transformers. Results show what input assumptions are most applicable for each type of equipment (including vertical and horizontal electrodes). For some equipment, particularly with horizontal electrodes, the 1584-2018 predictions underpredicted measurements of incident energy, so multiplier factors may be needed.

The dataset includes measurements from test results and corresponding predictions from IEEE 1584-2018.

Instructions: 

Medium-Voltage Arc-Flash Data Analysis

Tom Short, tshort@epri.com

This code base is using the Julia Language (https://julialang.org/).

To (locally) reproduce this project, do the following:

  1. Download this code.
  2. Open a Julia console and do:julia> using Pkg julia> Pkg.activate("path/to/this/project") julia> Pkg.instantiate()

This will install all necessary packages for you to be able to run the scripts and everything should work out of the box.

The main code is in:

  • paper-analysis.jl

The data is in three CSV files. These files contain measurements and predictions of incident energies. Each row of the file is one test. Key variables in each file are shown.

  1. epri.csv -- EPRI tests of MV equipment with predictions based on IEEE 1584-2018
  • V -- system voltage, kV (L-L)
  • Ib -- bolted fault current, kA
  • gap_mm -- electrode gap, mm
  • D_mm -- working distance, mm
  • t -- duration, msec
  • Ia -- predicted arcing current, kA
  • IE -- predicted incident energy, cal/cm²
  • config -- test configuration (EPRI HCB, EPRI Transformer, EPRI VCB, ...)
  • Iameas -- measured average arcing current, kA
  • IEmeas -- measured incident energy, cal/cm²
  • joules -- arc energy, J
  1. ieeeall.csv -- Test data from IEEE/NFPA used to develop IEEE 1584-2018
  • Lab -- test site
  • config -- VCB, HCB, ...
  • Voc -- system voltage, kV (L-L)
  • Ibf -- bolted fault current, kA
  • gap_mm -- electrode gap, mm
  • D_mm -- working distance, mm
  • t -- duration, msec
  • width_in -- box width, in
  • height_in -- box height, in
  • depth_in -- box depth, in
  • Iameas -- measured average arcing current, kA
  • IEmeas -- measured incident energy, cal/cm²
  1. hcb.csv -- Combined EPRI and IEEE/NFPA dataset for HCB configurations
  • Ib -- bolted fault current, kA
  • gap_mm -- electrode gap, mm
  • d_mm -- working distance, mm
  • t -- duration, msec
  • height_in -- box height, in
  • config -- test configuration (EPRI HCB or EPRI VCB)
  • iameas -- measured arcing current, kA
  • iemeas -- incident energy measured, cal/cm²
  • joules -- arc energy, J
  • energyratio -- ratio of incident energy to arc energy, cal/cm²/MJ

Dataset Files

LOGIN TO ACCESS DATASET FILES
Open Access dataset files are accessible to all logged in  users. Don't have a login?  Create a free IEEE account.  IEEE Membership is not required.

QUESTIONS?

Login to Send Author a Private Message

Report a problem with this Dataset