Electric power facility repair cost

Electric power facility repair cost#

Description

This analysis estimates the repair costs of electric power facilities for different simulation scenarios based on their damage states, replacement costs, and damage ratios.

Contributors

  • Implementation: Hesam Talebiyan, Chen Wang, and NCSA IN-CORE Dev Team

Input Parameters

key name

type

name

description

result_name *

str

Result name

Name of the result dataset.

num_cpu

int

Number of CPUs

If using parallel execution, the number of cpus to request.

Input Datasets

key name

type

name

description

epfs *

incore:epf
ergo:epf
incore:epfVer2

Electric Power Facilities

Electric Power Facilities.

replacement_cost *

incore:replacementCost

Replacement Cost

Repair cost of the node in the complete damage state (= Replacement cost).

sample_damage_states *

incore:sampleDamageState

Sample Damage States

Sample damage states from Monte Carlo Simulation.

epf_dmg_ratios *

incore:epfDamageRatios

Damage Ratios Table

Damage Ratios Table.

Output datasets

key name

type

name

description

result *

incore:repairCost

Repair Cost

A csv file with repair cost and budget for each electric power facility.

(* required)

Execution

code snippet:

    client = IncoreClient()
    
    # Create electric power facility repair cost analysis
    epf_repair_cost = EpfRepairCost(client)

    epf_repair_cost.load_remote_input_dataset("epfs", epf_id)
    epf_repair_cost.load_remote_input_dataset("replacement_cost", replacement_cost_id)

    # Can be chained with MCS
    epf_repair_cost.load_remote_input_dataset("sample_damage_states", sample_damage_states_id)

    # damage ratios
    epf_repair_cost.load_remote_input_dataset("epf_dmg_ratios", epf_dmg_ratios_id)

    epf_repair_cost.set_parameter("result_name", "test_epf")
    epf_repair_cost.set_parameter("num_cpu", 4)

    # Run Analysis
    epf_repair_cost.run_analysis()

full analysis: epf_repair_cost.ipynb