The R&D tax credit for climate tech startups
The short answer
Climate tech engineering, especially battery management, grid forecasting, and control system software, usually qualifies for the R&D credit. The sticking point is separating that from equipment procurement and installation.
What qualifies, and what fights you
Climate tech companies span hardware, like batteries and turbines, and software, like forecasting and grid control. Most of the engineering across both sides tends to clear the uncertainty bar, because the physical or technical outcome is not known in advance.
The sticking point is distinguishing R&D from deployment. Installing solar panels or commissioning a battery system according to a vendor's spec sheet is not R&D. Designing the battery management algorithm or the forecasting model behind that system is.
Like robotics, climate tech companies often run field pilots with physical hardware. Sensors, battery cells, and test rigs consumed during those pilots count as supply expenses, alongside the engineering wages that went into building the system being tested.
The four-part test, applied to climate tech startups
Qualified purpose in climate tech means improving an energy system's efficiency, storage capacity, or forecasting accuracy. Technological in nature means the work relies on electrical engineering, control theory, or data science. Elimination of uncertainty shows up when a team does not know whether a battery management algorithm will safely balance cells under real thermal loads, or whether a forecasting model will hold up against volatile weather and demand data.
Process of experimentation is the iteration on those systems: revising charge and discharge algorithms after a thermal test reveals a problem, backtesting a forecasting model against historical data, and running field pilots to validate control logic against real, unpredictable conditions.
New to the test itself? Read what software work qualifies as R&D first.
Work that usually qualifies
Battery management system algorithms
Developing charge balancing, thermal management, and degradation modeling logic that has to work under real hardware constraints, not just simulated ones.
Grid load and generation forecasting models
Building and validating models that predict demand or renewable output under uncertain weather patterns and shifting usage.
Control system software for energy assets
Developing control logic for inverters or turbines that has to respond to unpredictable physical conditions in real time.
Carbon measurement and verification pipelines
Building data pipelines and algorithms to quantify emissions or sequestration where the measurement methodology itself involves real uncertainty.
Work that usually does not
Physical installation and commissioning
Installing solar panels, batteries, or HVAC equipment according to manufacturer specifications does not involve technological uncertainty.
Regulatory and incentive paperwork
Preparing interconnection applications or utility rebate forms is administrative work, not engineering.
Which expenses count
W-2 wages for engineers and data scientists building control and forecasting systems count as QRE, along with wages for technical leads supervising that work.
US-based contractors doing qualifying hardware, firmware, or modeling work count at 65 percent of what you pay them.
Prototype hardware and materials consumed in field pilots, like sensors, battery cells, and test rigs, count as supply expenses, along with cloud compute used for model training and simulation.
A worked example
Hypothetical example. A climate tech startup has 7 engineers running a field-pilot-heavy development program over a year, with one contractor and meaningful hardware spend.
At roughly 6 to 10 percent of total QRE, the federal credit lands around $44,000 to $74,000. Startups under $5 million in revenue can apply up to $500,000 of that credit against payroll taxes each year.