Cow dung valorization via dual-stream separation: An integrated LCA and techno-economic framework for agricultural and algal use

P. Archana , Premjith B , V.P. Mahadevan Pillai , K.M. Sreedhar , K.M. Sreekanth , G. Sivasubramanian
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Abstract

Cow dung, often left unmanaged, represents both a nutrient source and an emissions burden. Here we report a decentralized hydraulic process that separates fresh, wet cow dung into two usable streams: a fibrous solid and a nutrient-rich liquid. Pressing removed ∼ 80 % of moisture with fibre recovery of 87 %, yielding materials that supported both plant and algal growth. Fibre application increased the germination energy of Vigna radiata by 47.6 %, while the nutrient powder, obtained through freeze-drying, sustained algal cultures more effectively than synthetic f/2 medium. Life cycle analysis identified freeze-drying as the main environmental hotspot, contributing over half of the system’s climate footprint (∼0.84 kg CO2-eq per 0.5 kg processed). Scenario modelling showed that solar or hybrid drying could reduce this impact by more than 90 %. A multitask neural network (R2 = 0.79) predicted product yields from raw input, supporting process optimization. Techno-economic evaluation indicated a net loss at bench scale, but break-even and positive returns when deployed in gauśāla settings, where local use and market-linked fibre and nutrient streams offset costs. This dual-stream approach demonstrates that cow dung can be reorganized into structured outputs without secondary effluents. By combining experimental validation, life cycle metrics, and economic modelling, the study provides a realistic pathway for circular bioresource management under decentralized rural conditions.

Abstract Image

通过双流分离实现牛粪增值:农业和藻类利用的综合LCA和技术经济框架
牛粪往往得不到管理,既是一种营养来源,也是一种排放负担。在这里,我们报告一个分散的水力过程,分离新鲜,湿牛粪成两个可用的流:纤维固体和营养丰富的液体。压榨去除约80%的水分,纤维回收率为87%,产生的材料支持植物和藻类的生长。纤维的施用使辐射维纳的萌发能提高47.6%,而通过冷冻干燥获得的营养粉比合成f/2培养基更有效地维持藻类培养。生命周期分析发现,冷冻干燥是主要的环境热点,占系统气候足迹的一半以上(每加工0.5公斤产品约0.84公斤二氧化碳当量)。情景模拟显示,太阳能或混合干燥可以将这种影响减少90%以上。多任务神经网络(R2 = 0.79)预测原始输入的产品产量,支持工艺优化。技术经济评价表明,试验规模的净损失,但在gauśāla环境中部署时,收支平衡和正回报,当地使用和与市场挂钩的纤维和营养流抵消了成本。这种双流方法表明,牛粪可以在没有二次流出的情况下重新组织成结构化的产出。通过实验验证、生命周期指标和经济建模相结合,为分散农村条件下的循环生物资源管理提供了一条现实的途径。
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