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