可持续能源系统中玉米青贮沼气生产的动力学建模和优化

IF 7 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments Pub Date : 2025-06-05 DOI:10.1016/j.seta.2025.104395

K. Bułkowska , I. Białobrzewski , T. Pokój

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引用次数: 0

摘要

厌氧消化是可持续能源生产的关键过程，并提供了一种从农业生物质（如玉米青贮）生产沼气的方法。本研究评估了改良的厌氧消化模型1 （ADM1）的应用，以提高玉米青贮消化沼气的模拟精度。关键改性包括添加玉米青贮发酵必需中间体乳酸、异戊酸和异丁酸。灵敏度分析确定了分解常数（khyd_ch = 0.191 d−1）和碳水化合物水解速率常数（khyd_ch = 1.624 d−1）为关键参数。采用遗传算法对参数进行优化，提高了模型的精度，得到了改进的Nash-Sutcliffe效率系数。这项研究强调了精确参数调整对优化沼气生产的重要性，并说明了先进建模在支持农业沼气系统能效方面的潜力。

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Kinetic modeling and optimization of biogas production from maize silage for sustainable energy systems

Anaerobic digestion is a crucial process for sustainable energy production and offers a way to produce biogas from agricultural biomass such as maize silage. This study evaluates the application of a modified Anaerobic Digestion Model No. 1 (ADM1) to improve simulation accuracy for biogas production from maize silage digestion. Key modifications included the inclusion of lactic acid, iso-valeric acid and iso-butyric acid, essential intermediates of maize silage fermentation. A sensitivity analysis identified the disintegration constant (k_dis = 0.191 d⁻¹) and the hydrolysis rate constant for carbohydrates (k_{hyd_ch} = 1.624 d⁻¹) as critical parameters. Optimization of the parameters using genetic algorithms has improved the accuracy of the model, as shown by an improved Nash-Sutcliffe Efficiency coefficient. This research highlights the importance of precise parameter tuning to optimize biogas production and illustrates the potential of advanced modeling to support energy efficiency in agricultural biogas systems.

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来源期刊

Sustainable Energy Technologies and Assessments Energy-Renewable Energy, Sustainability and the Environment

CiteScore

12.70

自引率

12.50%

发文量

1091

期刊介绍： Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.