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

IN-CORE Manual

Electric power facility repair cost

Electric power facility repair cost#