From semi-arid biomass to carbon sequestration: Modeling the impact of pyrolysis atmosphere and soil temperature on the carbon removal potential of Agave-based biochar

Biochar has emerged as a promising carbon dioxide removal strategy due to its long-term stability and agronomic co-benefits. However, certification bodies often overlook soil temperature variability, and bench-scale experiments typically assume inert atmospheres unlike those in industrial systems. This study investigates the effects of pyrolysis temperature (350-575 degrees C) and atmosphere (nitrogen (N-2) and recirculated pyrolysis gas (PyGR)) on the carbon removal potential of Agave wercklei biochar using a temperature-dependent modeling approach. Sensitivity analyses confirmed that pyrolysis temperature is the most influential variable affecting carbon permanence. Partial derivatives showed that increasing pyrolysis temperature leads to higher carbon sequestration, especially under PyGR. In contrast, increasing soil temperature had a negative effect on permanence, though this impact became less significant at high pyrolysis temperature. Overall, PyGR-based biochars produced at temperatures >= 500 degrees C demonstrated superior carbon removal performance. The estimated carbon sequestration for PyGR-based biochars in this temperature ranged in 0.35-0.49 t(CO2eq) t(biomass)(-1), with maximum values reaching 0.58 t(CO2eq) t(biomass)(-1) under optimal conditions. This higher performance also translated into greater economic return for semi-arid context, with an average carbon credit value of 55.92 (sic) t(biomass)(-1) and peak values near 65 (sic) t(biomass)(-1). In contrast, N-2-based biochars under similar pyrolysis temperatures exhibited a range in 0.28-0.46 t(CO2eq) t(biomass)(-1), reaching a maximum of 0.47 t(CO2eq) t(biomass)(-1), with average credit potential estimated at 41.36 (sic) t(biomass)(-1). These results also highlight the importance of using realistic pyrolysis atmospheres in bench-scale tests and considering soil temperature to improve carbon permanence estimates carbon storage scenarios.