首页|Integration of anaerobic digestion with artificial intelligence to optimise biogas plant operation

Integration of anaerobic digestion with artificial intelligence to optimise biogas plant operation

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  • NETL
  • NSTL
  • Springer Nature
Energy plays a vital role in executing domestic and industrial activities on a daily basis and therefore, it is fundamental to the development of any nation. Energy obtained from anaerobic digestion (AD) of biodegradable organic biomass is widely used in major economies to fulfill their energy demands and targets. The biogas plant operation is a several stage process, from pre-digestion to post-digestion, and thus requires proper monitoring and evaluation to optimize its operation. Conventional methods of monitoring are insufficient for enhanced output and as a result, numerous researchers around the globe are trying to find a way out for effective monitoring of a biogas plant. As artificial intelligence (AI) is making its way into every aspect of human life and related activities for their enhancement, and its integration with biogas plant operation seems pragmatic. AI technologies could provide a viable solution to the challenges such as process instability, uncertain critical AD parameters, real time monitoring, etc., usually encountered in a biogas plant. The present investigation proposes a comprehensive integration of artificial intelligence technologies with biogas plant operation and biogas production process for better monitoring and evaluation of important AD parameters such as total solid, volatile solid, volatile fatty acid, soluble chemical oxygen demand, pH and temperature. This study highlights the current progress and future AI integration possibilities by proposing an AI conceptual framework through visual representation for biogas plant operation and for process monitoring systems along with different software and hardware components, that possess application in this technological advancement of automation and prediction.

Anaerobic digestionArtificial intelligenceAutomationBiogas plantPredictive monitoringProcess optimisation

Siddharth Swami、Surindra Suthar、Rajesh Singh、Amit Kumar Thakur、Lovi Raj Gupta、Vineet Singh Sikarwar

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School of Environment and Natural Resources,Doon University,Dehradun,Uttarakhand 248001, India

Division of Research and Innovation,Uttaranchal Institute of Technology,Uttaranchal University, Dehradun 248007,India

Department of Mechanical Engineering,Lovely Professional University,Phagwara,Jalandhar, Punjab 144001,India

Institute of Plasma Physics of the Czech Academy of Sciences,Za Slovankou 1782/3, 182 00 Prague 8,Czech Republic||Department of Power Engineering,University of Chemistry and Technology Prague,Technicka5, 166 28 Prague 6,Czech Republic

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2025

10.1007/s10668-023-04326-2

Environment, development and sustainability

Environment, development and sustainability

ISSN：1387-585X
年,卷(期)：2025.27(5)
  • 134