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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
Near-infrared spectroscopy; Spectral analysis; Machine learning; Deep neural network; Genetic algorithm; Particle swarm optimization
Zeitschriftentitel:
Applied Energy
Jahr:
2025
Band / Volume:
377
Seitenangaben Beitrag:
124447
Reviewed:
ja
Volltext / DOI:
doi:10.1016/j.apenergy.2024.124447
WWW:
https://www.sciencedirect.com/science/article/pii/S0306261924018300?via%3Dihub
Verlag / Institution:
Elsevier BV
E-ISSN:
0306-2619
Publikationsdatum:
01.01.2025
TUM Einrichtung:
Professur für Regenerative Energiesysteme
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