Waste and Biomass Valorization ( IF 3.2 ) Pub Date : 2021-01-18 , DOI: 10.1007/s12649-020-01321-w Jonathan Soto-Paz , Teresa Gea , Wilfredo Alfonso-Morales , Eduardo Caicedo-Bravo , Edgar Ricardo Oviedo-Ocaña , Pablo César Manyoma-Velásquez , Patricia Torres-Lozada
To improve the financial sustainability and business management of composting facilities, mostly small-scale and manually operated facilities, the simultaneous optimization of the process and quality of the final product must be prioritized. This study used artificial neural networks (ANNs) and particle swarm optimization (PSO) as tools to evaluate the composting of biowaste (BW) with different cosubstrates (i. star grass (SG) and ii. a SG and sugarcane filter cake (SFC) mixture). The simulation aimed to maximize product quality in the shortest processing time by varying the mixing ratio and turning frequency. The simulation showed optimal conditions with a turning frequency of twice per week with the following mixtures: (i) BW:SG (72.9:27.1), 76 days of processing; and (ii) BW:SFC:SG (60:16:24), 88 days of processing. The results showed the effect of the type of carbon source in the cosubstrates on the retention time, which may imply the need for a larger area in composting facilities. On the other hand, the findings show that a minimum time is required to achieve a product that meets quality standards, although a longer processing time reduces the agricultural value of the compost. This model can be used to define design criteria and operating conditions and select a cosubstrate that can contribute to improving the agricultural quality of the final product.
Graphic Abstract
中文翻译:
生物废物的共同堆放:使用模拟和优化工具同时优化过程和最终产品质量
为了提高堆肥设施(主要是小型和手动操作的设施)的财务可持续性和业务管理,必须优先考虑同时优化过程和最终产品的质量。本研究采用人工神经网络(人工神经网络)和粒子群优化(PSO)作为工具来评估生物废物(BW)具有不同的协同底物(堆肥我。草根明星(SG)和二,一SG和甘蔗滤饼(SFC)混合物)。该模拟旨在通过改变混合比和转向频率,在最短的处理时间内最大程度地提高产品质量。所述模拟显示的最佳条件与每周两次转动频率与下列混合物:(我)BW:SG(72.9:27.1),处理76天;(ii)BW:SFC:SG(60:16:24),处理时间为88天。结果表明,共基质中碳源类型对保留时间的影响,这可能意味着在堆肥设施中需要更大的面积。另一方面,研究结果表明,尽管加工时间较长会降低堆肥的农业价值,但要达到满足质量标准的产品需要最少的时间。该模型可用于定义设计标准和操作条件,并选择可有助于改善最终产品农业品质的共底物。