Project meeting of STEP at the site of the company ATS - Agro Trading & Solutions in Hardegsen (Photo: DBFZ)

PowerBiogasValidation market potentialBiomethane strategySystem studies

Project ID 03KB165

Power-to-Biogas - Increasing the flexibility of biogas plants using catalytic methanation and machine learning

Biomethane plant (source: revis bioenergy GmbH)

Duration

  • 01.10.2019 – 30.09.2022

Contact

Friedrich Alexander-University Erlangen-Nürnberg (FAU)
Chair of Energy Process Engineering
Fürther Straße 244f
90429 Nürnberg

Prof. Dr. Jürgen Karl – project leader
Telephone: +49 (0)9115302 9021
E-mail: juergen.karl‍@‍fau.de

Simon Markthaler – direct contact person / project coordinator
Telephone: +49 (0)9115302 9113
E-mail: simon.markthaler‍@‍fau.de

Partner

03KB165B - aixprocess GmbH
03KB165C - revis bioenergy GmbH

Associated partners

Cooperation partners

Subpartner

03KB165 - Bayern Innovativ
  • Address:
  • Bayern Innovativ
    Bayerische Gesellschaft für Innovation und Wissenstransfer mbH
    Am Tullnaupark 8
    90402 Nürnberg
03KB165 Power-to-Biogas Icon

Topic

The project addresses the increase in flexibility of biogas plants and the on-demand production of electricity based on biomass. This approach involves catalytic methanation in order to convert carbon dioxide, a major component of biogas, into methane using hydrogen. The hydrogen production is connected to a power supply. Therefore, the overall process enables the conversion of surplus electrical energy into the chemical energy carrier, methane. As a result, the methane yield increases and the specific emissions of biogas plants are considerably reduced. The process itself can be enhanced using machine learning methods, which utilize data from individual biogas plants and the electricity market to adapt and optimize methanation from an economic point of view.

Aims

The project objectives include the integration of dynamic methanation of biogas into a commercial biomethane plant and its test operation. The cost-effectiveness of the overall process shall be optimized by virtue of autonomous plant control and machine learning methods.

Measures

FAU-EVT

The Chair of Energy Process Engineering will perform lab-scale experiments on methanation with biogas and construct a reactor system for operation at the biomethane plant. A virtual reactor model for plant control will also be developed.

aixprocess

aixprocess GmbH will develop an online monitoring tool for autonomous plant control based on neural networks and pattern recognition (machine learning). This tool will be put into operation at the biomethane plant and supplied with a comprehensive database of methanation and biogas plant process data as well as data from the electricity market.

revis bioenergy

revis bioenergy GmbH will prepare and install the methanation reactor into one of their biomethane plants. In addition, a market analysis of the overall process will be performed.

Focus

FAU-EVT

  • Lab-scale investigation of methanation of biogas
  • construction of a methanation reactor for demonstration purposes
  • development of a virtual reactor model

aixprocess

  • Development of an autonomous control system based on machine learning

revis bioenergy

  • Provision of biomethane plant infrastructure
  • installation and operation of the methanation reactor
  • market analysis
Scheme for flexible biogas plants for the integration of demand-oriented electricity production from biomass into the future electricity system (source: FAU, Chair of Energy Process Engineering)

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