CERAWeek 2026: Associate Professor of Engineering Vikrant Vaze | Wildfire Risk and Grid Resilience

CERAWeek 2026: Associate Professor of Engineering Vikrant Vaze | Wildfire Risk and Grid Resilience

by Vikrant Vaze

Applied Sciences & Engineering Energy THEnergy technology and engineeringTHYEnergy, power generation, distribution and storage
🎙 Vikrant Vaze 👥 2K 📅 April 1, 2026 ⏱ 24 min 👁 121 📄 original study 🧭 2026-08-15
Available in: English (current) Français

Keywords

wildfirepower gridpublic safety power shutoffrisk assessmentoptimization

Summary

Vikrant Vaze, associate professor at Dartmouth, presents ongoing research on modeling wildfire risk to power grids and optimizing public safety power shutoffs (PSPS). He frames wildfires as an engineering and financial challenge, highlighting the three-way interaction between wildfires, grid infrastructure, and users. The study uses data from LANDFIRE, Burn MD, and California government sources to simulate wildfire ignition and spread. A probabilistic simulator is calibrated with sophisticated algorithms to improve risk accuracy. The optimization problem selects which grid segments to de-energize under a budget constraint to minimize burned area, both total and urban. Two case studies from California (Blue Ridge Fire and Mineral Fire) illustrate the benefits of calibrated risk models. Results show that for large, dangerous fires, calibrated models can save significantly more area compared to uncalibrated approaches, with regret sometimes reaching 90-100%. Future work includes modeling interactions between de-energized segments, sensitivity analysis, and worst-case scenarios. The presentation concludes with Q&A discussing collaboration with utilities and potential for real-time decision-making.

161 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides valuable insights into the application of risk modeling and optimization for grid resilience. The argumentation is solid, based on real-world data and clear methodology. The use of two case studies effectively demonstrates the practical impact of accurate risk assessment. The speaker acknowledges limitations and ongoing work, which adds credibility. The mathematical formulation is simplified but sufficient for the audience. The Q&A further strengthens the value by addressing practical considerations such as heterogeneous costs and interactions between de-energized segments.

Scientific Rigor, Source Quality, Title Accuracy

The research uses publicly available data from reputable sources (LANDFIRE, Burn MD, California government). The methodology is described clearly, and results are presented with confidence intervals. However, the work is not yet peer-reviewed, and some details of the calibration algorithms are proprietary or omitted. The title accurately reflects the content. No comments were provided for analysis.

152 words

Title / Content Match

The title accurately reflects the content: a presentation on wildfire risk and grid resilience by an engineering professor at CERAWeek.

Quality & Reliability

8/10

The presentation is based on original research using publicly available data from credible sources (LANDFIRE, Burn MD, California government). The methodology is clearly described, and results are presented with confidence intervals. However, the work is ongoing and has not been peer-reviewed or published in a journal, and some details of the calibration algorithms are omitted.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • LANDFIRE — Data source for fuel and topography used in the study.
  • Burn MD — Data source for wind information used in the study.

Contribution & Novelties

The research contributes a calibrated probabilistic simulator for wildfire risk to power grids, optimizing PSPS decisions. The key novelty is the calibration algorithm that improves risk accuracy, leading to significantly better outcomes for large fires. The study quantifies the ‘regret’ of using uncalibrated models, showing potential savings of up to 90-100% in burned area.

Pour aller plus loin :

  • Public Safety Power Shutoff (PSPS) — Overview of PSPS and its use in California.
  • Wildfire risk modeling — General background on wildfire behavior and risk factors.
  • Power grid resilience — Concepts of resilience in power systems.

95 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical level, indicating a presentation that is informative and credible but accessible to a broad audience.

Reliability 8/10