Published February 2018 | Version v1
Journal article

Modeling and optimization of a biogas plant for a demand-driven energy supply

  • 1. University of Applied Sciences Aachen, Heinrich-Mussmann-Str. 1, Juelich, 52428 (Germany)

Description

Highlights: • A new model based on only two parameters for biogas plants. • Experimental confirmation of the model. • Application in a demand-driven supply of a biogas plant. Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2017.12.073

Additional details

Identifiers

DOI
10.1016/j.energy.2017.12.073;
PII
S0360544217321114;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
145
Journal Page Range
p. 657-664
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53028501
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
BIOMASS CONVERSION PLANTS; ENERGY DEMAND; MATHEMATICAL MODELS; METHANE; OPTIMIZATION; SIMULATION; SOLAR ENERGY; WIND
Descriptors DEC
ALKANES; DEMAND; ENERGY; ENERGY SOURCES; HYDROCARBONS; INDUSTRIAL PLANTS; ORGANIC COMPOUNDS; RENEWABLE ENERGY SOURCES

Optional Information

Copyright
Copyright (c) 2017 Elsevier Ltd. All rights reserved.