A Co-Produced Climate Data and Analytics Platform to Support California's Electricity Resilience Investments
Providing customized data, advanced analytics, and powerful cloud computing resources to support climate-informed planning, research, and electricity sector resilience.
In late 2022 and continuing into 2023, the Cal-Adapt Analytics Engine (https://analytics.cal-adapt.org/) provided crucial data and analytical products in support of CEC’s demand forecasting activities. Informed by stakeholder engagement, five data applications were prioritized, namely: development of threshold-based analytics for asset vulnerability assessment and design standard development; delivery of “hourly climate profiles” (for future time periods) as inputs into production cost, energy load forecasting, and other models; distribution of extreme temperature events to inform peak load, demand forecasts, and other applications; climate metrics and analytics to support long-range wildfire planning and management (in collaboration with other EPIC work); examination of climate impacts on zero-carbon electricity generation and system operation. The first three data applications were developed to include initial functionality. The final application, zero-carbon energy generation, is largely being supported by another grant EPC-21-037 in collaboration with the Analytics Engine.
The team conducted a three-day workshop, held remotely, in September 2021 to engage state agencies and other interested parties or users in the Platform’s potential use cases. Building on preliminary user engagement and an initial workshop, additional working group meetings were conducted in December 2021 and throughout the first three quarters of 2022.
The Cal-Adapt: Analytics Engine will guide users to customized and curated localized climate data to make informed decisions based on the best science to improve electricity sector resilience. This platform will provide users with customized data, advanced analytics, and powerful cloud computing resources, allowing users to perform high-level analysis without needing to download massive localized climate datasets. Novel next-generation analytics will provide users with assessments of a range of possible outcomes, enhanced through metrics that convert climate data into electricity sector specific formulations and direct users to the most relevant scenarios for their specific applications. The cloud-based data platform will provide unprecedented computational resources to users, pre-loaded with easy-to-access capacity for the transformation of climate data into stakeholder identified formats, with supporting analytics guiding users to best practices and solutions for specific contexts. Continual outreach will focus on educating and supporting users of the data platform.
Stakeholder-informed use cases identified will allow IOUs to plan for and make scientifically-informed investments that target resources toward building a grid that is more reliable in the face of future climate extremes (e.g., reduced brownouts associated with extreme heat).
Stakeholder-informed use cases identified will allow IOUs to plan for and make scientifically-informed investments that target resources toward building a grid that is safer in the face of future climate extremes (e.g., more strategically targeted, effective, yet limited PSPS from wildfire).
The Regents of the University of California on behalf of the Berkeley campus
The Regents of the University of California on behalf of the Los Angeles Campus
Spatial Informatics Group, LLC
Amazon Web Services