20.500.12556/DKUM-91746 Modeling and optimization of anaerobic digestion technology current status and future outlook Anaerobic digestion (AD) is an important technology that can be engaged to produce renewable energy and valuable products from organic waste while reducing the net greenhouse gas emissions. Due to the AD process complexity, further development of AD technology goes hand in hand with the advancement of underlying mathematical models and optimization techniques. This paper presents a comprehensive and critical review of current AD process modeling and optimization techniques as well as various aspects of further processing of AD products. The most important mechanistically inspired, kinetic, and phenomenological AD models and the most frequently used deterministic and stochastic methods for AD process optimization are addressed. The foundations, properties, and features of these models and methods are highlighted, discussed, and compared with respect to advantages, disadvantages, and various performance metrics; the models are also ranked with respect to adequately introduced criteria. Since AD process optimization affects heavily the required treatment and utilization of AD products, biogas and digestate utilization in the production of renewable energy and other valuable products is also addressed. Furthermore, special attention is devoted to the challenges and future research needs related to AD modeling and optimization, such are modeling issues related to foaming and microbial activities, AD model parameters calibration, CFD simulation challenges, availability of experimental data, and optimization of the AD process with respect to further biogas and digestate utilizations. As current research results indicate, further progress in these areas could notably improve AD modeling robustness and accuracy as well as AD optimization performance. renewable energy anaerobic digestion biogas plant mathematical models optimization algorithms products utilization ponovna uporaba energije anaerobna digestija rastlinski bioplin matematični modeli optimizacijski algoritmi true false true Elsevier Angleški jezik Slovenski jezik https://www.sciencedirect.com/journal/progress-in-energy-and-combustion-science © 2024 The Authors Članek v reviji 2025-01-31 12:04:25 2025-01-31 12:04:25 2026-01-19 07:39:47 0000-00-00 00:00:00 2025 0 0 48 str. Vol. 106 Jan. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-03-08 2024-09-22 2025-10-18 620.92/.98 213047555 10.1016/j.pecs.2024.101199 1873-216X 1-s2.0-S0360128524000571-main.pdf 1-s2.0-S0360128524000571-main.pdf 1 D55741C18FB9D1FA5CA004E6A180D6B5 dfb9ca375722f9cb14e4bff1e28719692fa32d0834a056f59b5d605c03a63653 5ee1cc37-dfc3-11ef-ae92-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=188373 https://www.sciencedirect.com/science/article/pii/S0360128524000571?via%3Dihub 0 30bf94f8-f501-11f0-94a4-00155d580e02 https://dk.um.si/Dokument.php?lang=slv&id=202135 Fakulteta za kemijo in kemijsko tehnologijo Fakulteta za strojništvo 0 0 0