Developing storage, generation, power-electronics, and clean-process technologies involves deep technical uncertainty about performance, efficiency, durability, and safety.
The credit is calculated on qualified research expenses (QREs) — primarily wages for engineers and technical staff who spend time on qualifying activities, plus supplies, cloud/compute, and 65% of qualified contract research.
The table below lists the business components that most often qualify, a common example, and the technical uncertainty that makes each one defensible.
| Business component | Example | Technical uncertainty |
|---|---|---|
| Battery & energy storage | New cell chemistry, battery-management system | Will it meet energy density, safety, and cycle life? |
| Solar / PV systems | New module, inverter, or tracking system | How to improve efficiency and reliability? |
| Grid & power electronics | Microgrid controls, advanced inverters | Will the system maintain stability and efficiency? |
| EV systems | Powertrain, charging, thermal/BMS | Will the design meet range, charge, and thermal targets? |
| Hydrogen & fuel cells | Electrolyzer or fuel-cell stack | Can it meet efficiency and durability targets? |
| Energy software & optimization | Demand response, generation forecasting | Which control strategy optimizes output? |
| Materials development | New catalyst, membrane, or electrode | Will the material meet performance and cost? |
| Clean-process development | Carbon capture or emissions-reduction process | Will the process perform efficiently at scale? |
Wages for time spent on qualified research may count toward your credit. Percentages depend on facts and must be documented.
Illustrative example using sample figures. Your actual credit depends on your facts; see Form 6765 and consult a tax professional.
The IRS requires qualifying research to satisfy four tests. Here's how they typically map for this industry:
The activity aims at improving a product, process, software, or technique used in the business — not just a business outcome.
The work relies on principles of engineering, computer science, biology, chemistry, or another hard science to resolve uncertainty.
There was genuine uncertainty at the outset about whether — or how — the component could be built or improved.
The team evaluated alternatives: A/B tests, prototypes, benchmarks, simulations, or iterative design-build-test cycles.
Most companies underestimate what they can claim. Our study covers every qualifying role, every component, and every year still open for amendment.
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