Working closely with California and other western state utilities, Technosylva has developed and successfully deployed a suite of wildfire risk analysis products that are specifically tailored to meet electric utility needs. These products provide robust and proven solutions to address wildfire-based liability and regulatory requirements. Learn more about our solutions below.
Predictive Analysis for
Proactive Decision Making
Forecasting Wildfire Risk Days in Advance.
By integrating advanced wildfire spread modeling with weather prediction systems we are now able to accurately identify those assets with the greatest potential for causing destructive fires.
Providing Actionable Intelligence Before Disasters Occur
Whether it’s daily operations or longer-term asset hardening, Technosylva’s wildfire risk products provide the necessary information to guide proactive decisions for reducing your liability while meeting regulatory obligations.
Get An Executive Summary From Technosylva. “Understanding Electric Utility Wildfire Risk and Liability Exposure”
Learn how electric companies are finding success in hardening & adapting their grid to the growing threat of wildfire.
Learn how technology is helping PG&E combat risk the of wildfire through advanced modeling, and improved asset hardening.
Learn more about our energy utility solutions below.
Operations
Energy companies are challenged with reducing wildfire risk and increasing reliability as part of their ongoing operations. Simply knowing the probability of ignitions does not explain what the possible consequences are, including possible liability, from an asset-caused ignition.
How can you understand your wildfire risk and know your company’s risk profile days in advance?
Get Started01. Forecasting Your Wildfire Risk
FireCast proactively forecasts risk associated with electric utility asset ignition sources over a 4-day horizon and provides you the information critical for operational decision-making: What are my riskiest assets and what assets do I consider for mitigation measures?
02. Leveraging On-Demand Wildfire Spread Modeling
With FireSim you can generate on-demand prediction of the spread and impacts of a wildfire in response to active incidents, or to support proactive planning through “what if” scenarios, days in advance.
03. Comprehensive Situational Awareness
Wildfire Analyst™ seamlessly integrates advanced fire spread prediction modeling with forecasted weather to determine where fires will spread from asset ignition sources, and quantifies the impacts associated with those ignitions. When combined with real-time data describing the active fire environment, this platform provides comprehensive situational awareness of wildfire risk across your entire service territory.
04. Informed PSPS Decision Making
FireCast gives you daily risk forecasts for individual distribution and transmission assets, identifying those with the greatest probability of causing significant impacts should a fire occur. Incorporate wildfire consequence outputs to determine which assets should be considered for Public Safety Power Shutoff (PSPS) should extreme events warrant.
Assessing Mitigation Effectiveness
As part of the normal course of designing and maintaining an overhead electric system, electric utility engineers endeavor to regularly analyze circuits to plan hardening and rebuilding projects in order to reduce wildfire risk and increase reliability.
But, how do you effectively decide what mitigation measure, on which assets, will maximize your risk reduction?
Get Started01. Determining Your Asset Hardening
Our FireSight – Wildfire Risk Reduction Model – product integrates historical fire weather scenarios with advanced wildfire spread modeling to calculate potential impacts for individual assets. When combined with asset failure and outage data, the probability of ignition can be integrated to derive an expected wildfire risk for each asset. This provides the information necessary to help prioritize asset-hardening decisions. This provides the basis for quantifying risk reduction and risk/spend efficiencies.
02. Prioritizing Asset Inspections
FireSight – Wildfire Risk Reduction Model – assigns the results of hundreds of millions of fire spread predictions back to the asset ignition sources and provides you with detailed risk ratings for individual equipment and line segments. In addition, to supporting mitigation decisions, this information is ideal to help prioritize asset health inspections.
Emergency Planning & Preparedness
Energy companies face challenges in operationalizing their wildfire risk. Do you have a clear picture of wildfire threats to your assets, or the risk to communities across your territory?
Can you effectively pre-position crews and equipment to respond to an evolving event?
Get Started01. Comprehensive Situational Awareness
Wildfire Analyst™ seamlessly integrates advanced fire spread prediction modeling with forecasted weather to determine where fires will spread from asset ignition sources and quantifies the impacts associated with those ignitions. When combined with real-time data describing the active fire environment, this platform provides comprehensive situational awareness of wildfire risk across your entire service territory.
02. Determining Resource Allocation & Positioning
Having up-to-date and accurate information on the active fire environment, forecasted conditions, and possible consequence, allows you to make more informed decisions on the allocation and positioning of resources, to mitigate possible equipment failure, or impacts to your infrastructure that may affect reliability.
03. Providing Timely Communication
Having a consistent and accurate wildfire risk information platform enhances the ability to communicate risk across the company, to staff in the field, with partners and stakeholders, and to customers. Wildfire Analyst Enterprise provides a platform for integrating multiple data sources into a single environment for sharing and communicating risk information on current or upcoming weather events.
Regulatory Compliance & Reporting
Energy companies need the ability to integrate their own proprietary asset, weather, and risk data in a protected platform. They need to be able to show that their mitigation and hardening efforts meet or exceed regulatory requirements.
Increased regulatory and public scrutiny dictates the integration of advanced wildfire risk modeling to meet these obligations.
Get Started01. Meeting Regulatory Requirements
Whether for PSPS or WMP submittals, it is critical that you utilize the best information and tools possible to satisfy regulatory requirements. Our Wildfire Analyst™ Enterprise platform provides proven capabilities with accurate and battle-tested data that will endure the closest scrutiny from regulatory agencies and the public. By operationalizing the latest wildfire science and validating the data and tools daily with CAL FIRE, Technosylva offers a wildfire risk solution unparalleled in the industry. In fact, our technology is also readily used by Public Utility Commissions for their internal analysis.
02. Ensuring Data Governance
Our solution architecture leverages the latest in cloud-based computing with client-side applications to minimize implementation timelines, complexity, and ensure a secure platform where proprietary data is protected and safe. With our ISO 27001 Cyber Security Certification, Technosylva understands the critical importance of keeping electric utility proprietary data secure and protected.
Improving Public Safety
Unfortunately, in recent years there have been destructive fires caused by electrical utility infrastructure failure and ignitions. This has resulted in the public demand for better operations and management to change the outcomes of these events.
Electric utility companies are challenged with meeting this obligation to improve public safety by reducing the risk from asset-caused wildfires, while maintaining a reliable and efficient system.
Get Started01. Communicating & Reducing Wildfire Risk
Technosylva’s solutions provide advanced modeling to quantify wildfire asset risk, providing the basis for mitigating that risk, and documenting achievements to the public. By integrating advanced scientific modeling, mitigation activities are more focused and effective for reducing risk from those assets with the greatest risk potential.
