Automated scenario modeling and configuration engine

Anza's automated Scenario Modeling and Configuration Tools introduce market-wide scenario intelligence engine purpose-built for utility-scale and DG battery energy storage system (BESS) development and procurement, while expanding supplier coverage to 95% of the U.S. battery market. Anza’s latest release replaces fragmented spreadsheet workflows with automated, standardized modeling across technical, commercial, and policy variables. Engineers and sourcing teams can now model system configurations, benchmark supplier quotes, simulate tariff and schedule risk, and establish finance-ready project assumptions in days instead of weeks. Project developers can quickly assess lifecycle cost ranges, prioritize portfolios, and make earlier go/no-go decisions with confidence. Users can model duration scenarios, tariff severity outcomes, delivery timing shifts, and probability-weighted pricing assumptions within a single environment. Engineers can establish a reliable Basis of Design early in the lifecycle while incorporating design changes over time, and procurement managers can evaluate cost and policy risk during development and before finalizing equipment selection. Teams can tailor system configurations by specifying equipment counts, inserting supplier-specific degradation curves, adjusting usable energy assumptions, and modeling AC/DC augmentation or overbuild strategies. This allows for optimized, defensible system design without rebuilding spreadsheets from scratch. Procurement managers can input supplier quotes and benchmark them against standardized data covering 95% of U.S. battery suppliers. Teams can compare CapEx/OpEx structures, evaluate tariff exposure, and defend recommendations to finance and executive leadership with market-backed analysis.

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