The energy that biomass can yield is intrinsically linked to its chemical composition. Two crucial classifications within this context are:
- Lignocellulosic biomass: Characterized by the presence of cellulose, hemicellulose, and lignin. Typical examples are wood and straw, which are abundant and extensively used for bioenergy.
- Non-lignocellulosic biomass: Includes materials rich in proteins, lipids, and starch, or those derived from non-plant sources such as algae and animal waste.
This composition-based classification provides a precise approach to selecting appropriate conversion technologies and predicting energy outcomes. However, the complexity of performing meticulous laboratory tests poses a barrier, especially when dealing with a blend of biomass from multiple sources, which may have similar compositions.