Operational excellence in biomass energy plants

Operations costs, in biomass energy plants, depend on input feedstock quality. To optimize operations and find economic optima, three preliminary steps could be considered.

1) Fuel costs [€/MWth], how do they vary depending on the fuel quality?

Fuel Such as Cost variation (average)
Easy Sawdust, whole tree chips 100%
Average Bark, stumps, forest residues 67%
Challenging Demolition wood, plywood residues 56%
Very challenging Agrofuels, SRF 44%

Note: figures, averaged for solid fuels (Europe).

2) O&M costs [€/y]: chemicals (~20%), electricity (~20%), maintenance (~60%), how do they vary depending on the fuel quality?

Fuel Such as Cost variation (average)
Easy Sawdust, whole tree chips 100%
Average Bark, stumps, forest residues 124%
Challenging Demolition wood, plywood residues 154%
Very challenging Agrofuels, SRF 194%

Note: Values averaged for thermal energy generation (50-500 MWth, fluidized beds boilers), including data from virtual.vtt.fi/virtual/combust.

3) Evaluate the economic feasibility balance including the reduction of fuel costs and the increased O&M costs for the specific installation.


As a summary, first, it is necessary to classify fuels according to operational risks (not a trivial task: even the same fuel type could be Easy/Average/Challenging/Very challenging depending on its origin and properties). It might be smart to use predictive analyses (e.g. BIOFACT-C) and previous return of experience.

Second, based on such 3-step preliminary analysis (and the technical constraint of the specific installation with its components), it is possible to assess with which new fuels it would be possible to operate the energy plant.

How do you perform your operational excellence analyses? Are you expanding the capabilities of your technologies? Any considerations is welcomed.

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