Electric power facility damage#

Description

This analysis computes electric power facility damage based on a particular hazard. Currently supported hazards are: earthquake, tsunami, tornado and hurricane.

The process for computing the structural damage is similar to other parts of the built environment. First, a fragility is obtained based on the hazard type and attributes of the electric power facility. Based on the fragility, the hazard intensity at the location of the electric power facility is computed. Using this information, the probability of exceeding each limit state is computed, along with the probability of damage. For the case of an earthquake hazard, soil information can be used to modify the damage probabilities to include damage due to liquefaction.

The outputs of this analysis are CSV file with probabilities of damage and JSON file with information about hazard and fragilities.

Input parameters

key name

type

name

description

result_name *

str

Result name

Name of the result dataset.

hazard_type

str

Hazard type

Hazard type (earthquake, tsunami, tornado, hurricaneWindfields).

hazard_id

str

Hazard id

Hazard ID which defines the particular hazard (e.g. New Madrid
earthquake using Atkinson Boore 1995).

fragility_key

str

Fragility key

Fragility key used in mapping dataset.

use_liquefaction

bool

Liquefaction

Use liquefaction, if applicable to the hazard.
Default is False. Use a ground liquefaction to modify damage interval.

liquefaction_fragility_key

str

Liquefaction key

Fragility key to use in liquefaction mapping dataset.

liquefaction_geology_dataset_id

str

Liquefaction id

Liquefaction geology/susceptibility dataset id.
If not provided, liquefaction will be ignored.

use_hazard_uncertainty

bool

Uncertainty

Use hazard uncertainty.
Default is False.

num_cpu

int

Number of CPUs

Number of CPUs used for parallel computations.
Default 1.

Input Hazards

key name

type

name

description

hazard

earthquake
tornado
hurricane
flood
tsunami

Hazard

Supported hazard object for using local and remote hazards.

Input datasets

key name

type

name

description

epfs *

incore:epf
ergo:epf

Electric power dataset

An electric power facility dataset.

dfr3_mapping_set *

incore:dfr3MappingSet

DFR3 Mapping Set

DFR3 Mapping Set.

Output datasets

key name

type

parent key

name

description

result *

incore:epfDamageVer3

epfs

Results

A dataset containing results
(format: CSV).

damage_result *

epfDamageSupplement

epfs

Results

Information about applied hazard value and fragility
(format: JSON).

(* required)

Execution

code snippet:

    # Create epf damage instance
    epf_dmg = EpfDamage(client)

    # Load input datasets
    epf_dmg.load_remote_input_dataset("epfs", epf_dataset_id)

    # Load fragility mapping
    fragility_service = FragilityService(client)
    mapping_set = MappingSet(fragility_service.get_mapping(mapping_id))
    epf_dmg.set_input_dataset('dfr3_mapping_set', mapping_set)

    # Specify the result name
    result_name = "hazus_epf_dmg_result"

    # Set analysis parameters
    epf_dmg.set_parameter("result_name", result_name)
    epf_dmg.set_parameter("hazard_type", hazard_type)
    epf_dmg.set_parameter("hazard_id", hazard_id)
    epf_dmg.set_parameter("use_liquefaction", True)
    epf_dmg.set_parameter("liquefaction_geology_dataset_id", liquefaction_dataset_id)
    epf_dmg.set_parameter("use_hazard_uncertainty", False)
    epf_dmg.set_parameter("num_cpu", num_cpu)

    # Run epf damage analysis
    epf_dmg.run_analysis()

full analysis: epf_dmg.ipynb