Wildfire Mitigation Planning

Driving wildfire mitigation planning with predictive risk management

According to a recent Congressional report, the annual economic burden of wildfires reaches as high as $893 billion. By mid-century, the risk of wildfires could increase six-fold in some areas (see map).

As wildfires increase in frequency and in cost to the U.S. economy, utilities are under increasing pressure to escalate their mitigation efforts—both from regulatory bodies and from concerned stakeholders. Establishing a clear action plan is crucial for effective wildfire mitigation. This includes taking responsible actions by individual property owners and fostering collective actions within communities.

Logic20/20 taps into the power of AI and machine learning to help utility providers assess wildfire risks, fine-tune their response plans to reduce risk, and meet compliance obligations to report on their wildfire mitigation plans (WMPs).

prediction of very large fires by mid-century

Risk intelligence: Aligning on goals and requirements for resilience

Realizing positive ROI from wildfire mitigation initiatives and programs requires a comprehensive approach to align on the goals and requirements of risk intelligence capabilities:

STRATEGY

  • Risk assessment & wildfire mitigation strategy
  • Situational awareness & forecasting from wildfire risk modeling

GRID

  • Grid design, inspections & maintenance
  • Grid operations & protocols

EXECUTION

  • Vegetation management & inspections
  • Asset health monitoring & inspections
  • Emergency preparedness & community engagement
  • Modern risk modeling tools and techniques

Wildfire mitigation plan outcomes

reliability

Improved reliability – SAIDI and SAIFI

Reduced fire risk

Reduced risk of catastrophic wildfire

ROI

Improved ROI of strategic grid investment and hardening

Regulatory compliance

Increased preparedness to meet new regulatory requirements

It all starts with predictive risk modeling

Logic20/20 provides an enterprise risk management framework to guide your utility in operationalizing predictive insights to address wildfire risks. The same principles apply to wildfire risk mitigation as to other risk modeling.

process step 1

Identify
risk using process and tools.

process step 2

Analyze
with data insights and expert input.

process step 3

Evaluate
mitigations, efficacy, and timeframes.

process step 4

Prioritize
risks and mitigations.

process step 5

Respond
to risk.

process step 6

Monitor
remaining or residual risk.

Wildfire Mitigation Planner

Data integration

  • Vegetation
  • Climate projections
  • Customer systems
  • Weather
  • Asset information
  • Fire simulation

Investment outcomes

  • ROI: Investment dollars meaningfully reduce wildfire risk
  • Reliability: Fewer unplanned outages and failures
  • Safer communities: Lives and communities protected with wildfire risk reduction

Mitigation strategies

Mitigation strategies are essential for reducing the risk of wildfires and protecting communities. These strategies can be implemented at various levels, including individual homes, neighborhoods, and entire communities.

Defensible space

Defensible space is a critical component of wildfire mitigation. It refers to the area around a home or building that is cleared of combustible materials, such as dead leaves, branches, and debris. Creating defensible space can help prevent embers from igniting a fire and reduce the risk of damage to homes and buildings.

To create defensible space, homeowners can take several steps:

  • Clear dead leaves and debris from gutters and roofs/
  • Trim trees and shrubs to maintain a safe distance from homes and buildings/
  • Remove combustible materials, such as dead branches and needles, from the area around homes and buildings/
  • Use fire-resistant materials for roofing and siding/
  • Create a safe zone around homes and buildings by clearing flammable materials/

Landscape fuel treatment

Landscape fuel treatments involve modifying the landscape to reduce the risk of wildfires. This can include thinning trees and shrubs, removing dead and diseased vegetation, and creating fire breaks. Landscape fuel treatments can help reduce the spread of wildfires and protect communities.

To implement landscape fuel treatments, landowners and managers can take several steps:

  • Assess the landscape to identify areas at high risk of wildfires.
  • Develop a comprehensive plan to modify the landscape and reduce fuels.
  • Implement fuel treatments, such as thinning and prescribed burning.
  • Monitor and maintain the landscape to ensure that fuels are kept at a safe level.

Public Safety Power Shutoff (PSPS) dashboard

Extreme weather preparedness

Extreme weather events, such as droughts and heatwaves, can increase the risk of wildfires. Communities can take steps to prepare for extreme weather events and reduce the risk of wildfires.

To prepare for extreme weather events, communities can take several steps:

  • Develop a comprehensive emergency plan that includes procedures for responding to wildfires.
  • Conduct regular maintenance on equipment and infrastructure to ensure that it is in good working condition.
  • Provide education and outreach to residents on the risks of wildfires and the importance of preparedness.
  • Develop a plan for evacuating residents in the event of a wildfire.
  • Identify areas at high risk of wildfires and take steps to mitigate those risks.

Wildfire mitigation planning insights

Abstract photo showing DERMS and related technologies

Webinar: Building a scalable wildfire mitigation program with a comprehensive approach to risk analytics

Wildfire mitigation is becoming a national concern as temperatures across the country rise, weather patterns change, and demand on the grid intensifies. 

light streaming through a forest

Building a risk-aware utility with wildfire risk modeling

A four-phase approach to wildfire mitigation that helps utilities assess, prioritize, and reduce wildfire risks effectively. Home site visits are a best practice for engaging property owners in risk-reduction activities.

wind turbines on a snowy mountainside

Case study: Mitigating wildfire risk with computer vision-aided asset management and machine learning

Use computer vision to reduce remote aerial image inspection time and cost, with the goal of finding and replacing damaged equipment before it fails and sparks a wildfire.

What are your challenges? Let’s talk through the solutions.

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