Release SIMBA# 4.2

The current version 4.2 of SIMBA# brings many improvements in user guidance and in the numerical properties of the simulation core, but above all many model extensions. By changing the internal pH value calculation to the use of an algebraic equation solver, an improvement of the simulation speed by a factor of 2 to 5 is achieved, depending on the dynamics of the boundary conditions (influent, temperature, ICA concepts). Further innovations are:

  • Digital twins: development with the extended MBPC (model based predictive control) library, real-time execution online for operational support with ifakFAST,
  • significantly improved documentation (manuals, videos, navigation),
  • algebraic pH value calculation in the advanced model approach adm1daph,
  • significant reduction of the result file sizes due to the optimized calculation behavior.


The simulation system SIMBA# is a versatile software for modelling and dynamic simulation in wastewater technology. It integrates activated sludge models, aeration systems, sludge digestion, sewer networks, flowing waters and any kind of automation solutions.

SIMBA# Biogas offers all components needed for a sound analysis of wet digestion plants. The solution includes explicit reactor models, a digestion model approach capable of multiple substrates, based on the Anaerobic Digestion Model No. 1 (ADM1) of the International Water Association, and a corresponding influent model. SIMBA# Biogas allows the realisation of a wide range of applications in engineering practice, research and education. This includes design and optimisation of plant layouts, processes and control concepts

SIMBA# Biogas is programmed in C# and can be used with Windows 7, 8 and 10 operating systems.

Application areas

  • Design of biogas plants
  • Development and testing of individual real-time process control solutions
  • Assessment of plant performance
  • Optimisation of feeding strategies and plant operation

Key Functionality

  • Pre-configured input models for various agricultural waste sources
  • State-of-the-art biokinetic model based on ADM1
  • Support of different process control concepts (function blocks, Petri nets, PLC code)
  • Prediction of COD, TSS, VSS, NH4, N, pH, CH4, VOA, TAC
  • Comfortable editors for model developments and extensions