Hendrickson Renewables provides a cloud‑based, full time‑domain simulation platform that models hybrid solar, wind, and storage projects hour‑by‑hour (or sub‑hourly) over a 25‑plus year lifecycle. By integrating high‑resolution weather data, a smart battery management system emulator, and an efficient nodal power‑flow engine, the platform runs millions of scenarios in minutes, enabling developers, financiers, and technical advisors to evaluate sizing, dispatch strategies, and long‑term revenue with granular accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and investors of hybrid renewable energy projects often rely on simplified, average-year models that cannot capture the complex, time‑varying behavior of batteries, degradation, and market conditions over a plant’s multi‑decade lifespan. This leads to inaccurate sizing, suboptimal dispatch strategies, and increased financial risk when making long‑term investment decisions.
Solution
Hendrickson Renewables offers a cloud‑based, full time‑domain simulation platform that models hybrid solar, wind, and storage projects hour‑by‑hour (or sub‑hourly) across a 25‑plus year lifecycle. The platform integrates high‑resolution weather data, a smart battery management system emulator, and an efficient nodal power flow model to represent state‑dependent battery performance, degradation, and dispatch uncertainty at scale. By running millions of operational scenarios in minutes, users can evaluate firm power delivery, optimal PV‑storage mixes, and long‑term revenue streams with granular insight. The results serve as a technical advisory tool, enabling developers and investors to make data‑driven, bankable decisions on project sizing, augmentation, and performance forecasting.
Target Audience
Primary customers are renewable energy developers, project financiers, and technical advisors who need detailed, long‑term performance assessments for hybrid solar‑wind‑storage projects.
Features
- Hourly (or sub‑hourly) simulation of solar, wind, and storage assets over a 25‑year plant lifecycle
- High‑fidelity battery model capturing state of charge dependence, degradation pathways, and dispatch uncertainty
- Cloud‑native architecture that can execute tens of thousands of scenarios simultaneously, delivering full lifecycle results in about one minute
- Integration of high‑resolution weather ensembles and market price inputs for realistic operational forecasting
- Nodal power flow engine that respects hardware limits and grid constraints while evaluating firm power commitments
- Scenario analysis tools for optimizing PV capacity and storage sizing to meet specific firm power targets