Insights into the recent advances of agro-industrial waste valorization for sustainable biogas production

Copyright © 2023 Elsevier Ltd. All rights reserved..

Recent years have seen a transition to a sustainable circular economy model that uses agro-industrial waste biomass waste to produce energy while reducing trash and greenhouse gas emissions. Biogas production from lignocellulosic biomass (LCB) is an alternative option in the hunt for clean and renewable fuels. Different approaches are employed to transform the LCB to biogas, including pretreatment, anaerobic digestion (AD), and biogas upgradation to biomethane. To maintain process stability and improve AD performance, machine learning (ML) tools are being applied in real-time monitoring, predicting, and optimizing the biogas production process. An environmental life cycle assessment approach for biogas production systems is essential to calculate greenhouse gas emissions. The current review presents a detailed overview of the utilization of agro-waste for sustainable biogas production. Different methods of waste biomass processing and valorization are discussed that contribute towards developing an efficient agro-waste to biogas-based circular economy.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:390

Enthalten in:

Bioresource technology - 390(2023) vom: 13. Dez., Seite 129829

Sprache:

Englisch

Beteiligte Personen:

Sharma, Vishal [VerfasserIn]
Sharma, Diksha [VerfasserIn]
Tsai, Mei-Ling [VerfasserIn]
Ortizo, Rhessa Grace Guanga [VerfasserIn]
Yadav, Aditya [VerfasserIn]
Nargotra, Parushi [VerfasserIn]
Chen, Chiu-Wen [VerfasserIn]
Sun, Pei-Pei [VerfasserIn]
Dong, Cheng-Di [VerfasserIn]

Links:

Volltext

Themen:

Agro-industrial waste
Bioeconomy
Biofuels
Biogas
Greenhouse Gases
Industrial Waste
Journal Article
Life cycle assessment
Machine learning
Pretreatment
Review

Anmerkungen:

Date Completed 06.11.2023

Date Revised 06.11.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.biortech.2023.129829

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363325166