Optimisation of substrate blends in anaerobic co-digestion using adaptive linear programming

Santiago García-Gen, Jorge Rodríguez, Juan M. Lema

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Anaerobic co-digestion of multiple substrates has the potential to enhance biogas productivity by making use of the complementary characteristics of different substrates. A blending strategy based on a linear programming optimisation method is proposed aiming at maximising COD conversion into methane, but simultaneously maintaining a digestate and biogas quality. The method incorporates experimental and heuristic information to define the objective function and the linear restrictions. The active constraints are continuously adapted (by relaxing the restriction boundaries) such that further optimisations in terms of methane productivity can be achieved. The feasibility of the blends calculated with this methodology was previously tested and accurately predicted with an ADM1-based co-digestion model. This was validated in a continuously operated pilot plant, treating for several months different mixtures of glycerine, gelatine and pig manure at organic loading rates from 1.50 to 4.93. gCOD/L. d and hydraulic retention times between 32 and 40. days at mesophilic conditions.

Original languageBritish English
Pages (from-to)159-167
Number of pages9
JournalBioresource Technology
Volume173
DOIs
StatePublished - 1 Dec 2014

Keywords

  • ADM1
  • Anaerobic co-digestion
  • Biogas
  • Linear programming
  • Optimisation

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