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Title:

State estimation of a biogas plant based on spectral analysis using a combination of machine learning and metaheuristic algorithms

Document type:
Zeitschriftenaufsatz
Author(s):
Putra, Lingga Aksara; Köstler, Marlit; Grundwürmer, Melissa; Li, Liuyi; Huber, Bernhard; Gaderer, Matthias
Abstract:
The continuous monitoring of the state variables of a biogas plant remains a challenge due to the necessity of an appropriate measuring device. The collection, transportation, and laboratory measurement of the biogas sample are required, and regularly performing these activities is expensive and time-consuming. The objective of this study is to investigate a potential solution for the real-time monitoring of the state variables of a biogas plant, which involves the integration of spectral data f...     »
Keywords:
Near-infrared spectroscopy; Spectral analysis; Machine learning; Deep neural network; Genetic algorithm; Particle swarm optimization
Journal title:
Applied Energy
Year:
2025
Journal volume:
377
Pages contribution:
124447
Reviewed:
ja
Fulltext / DOI:
doi:10.1016/j.apenergy.2024.124447
WWW:
https://www.sciencedirect.com/science/article/pii/S0306261924018300?via%3Dihub
Publisher:
Elsevier BV
E-ISSN:
0306-2619
Date of publication:
01.01.2025
TUM Institution:
Professur für Regenerative Energiesysteme
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