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Amendments to model frameworks to optimize the anaerobic digestion and support the green transition
Renewable and Sustainable Energy Reviews ( IF 15.9 ) Pub Date : 2024-04-01 , DOI: 10.1016/j.rser.2024.114413
Panagiotis Tsapekos , Giovanna Lovato , José Alberto Domingues Rodrigues , Merlin Alvarado-Morales

The current world energy system is still heavily dependent on fossil resources (non-renewable and depletable). Anaerobic digestion (AD) has been pointed out as a great strategy for waste and wastewater management while producing biogas that can be upgraded to biomethane. Mathematical models can provide insights into understanding and analyzing important aspects of any process, while minimizing experimental effort, risk, and cost. However, modeling as means to predict, control, and optimize the performance of biological processes on pilot or higher scale is rather scarce. The so-called “BioModel” and Anaerobic Digestion Model No. 1 (ADM1) are well-known model frameworks to understand, characterize, and simulate the anaerobic digestion (AD) processes. Multiple amendments, modifications, and additions occurred during the past years in both frameworks. Therefore. the present article aims to review the most relevant updates made to these models and enlighten the perspectives on the role of kinetic modeling in bio-based gas production. The potential of the existing highly efficient AD models to serve as a basis to develop, predict, and finally support the biogas and bio-methanation processes at a higher scale is discussed.

中文翻译:

修正模型框架以优化厌氧消化并支持绿色转型

当前的世界能源系统仍然严重依赖化石资源(不可再生且可消耗)。厌氧消化(AD)被认为是废物和废水管理的一个很好的策略,同时生产可升级为生物甲烷的沼气。数学模型可以为理解和分析任何过程的重要方面提供见解,同时最大限度地减少实验工作量、风险和成本。然而,作为中试或更大规模预测、控制和优化生物过程性能的建模手段却相当稀缺。所谓的“BioModel”和厌氧消化模型 1 (ADM1) 是众所周知的模型框架,用于理解、表征和模拟厌氧消化 (AD) 过程。在过去几年中,这两个框架都进行了多次修订、修改和补充。所以。本文旨在回顾对这些模型最相关的更新,并启发人们对动力学模型在生物基天然气生产中的作用的看法。讨论了现有高效 AD 模型作为开发、预测和最终支持更大规模的沼气和生物甲烷化过程的基础的潜力。
更新日期:2024-04-01
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