Scholarlink

<p>Livestock manure represents a major agricultural waste stream that contributes to greenhouse gas emissions and eutrophication when improperly managed. This study demonstrates the effective valorization of poultry, pig, and cow dung slurry into renewable bioelectricity and treated effluent using a low-cost, salt-bridge dual-chamber microbial fuel cell (MFC). Through sequential single-factor optimization, the effects of substrate composition, electrode combination, anode surface area (85–340 cm<sup>2</sup>), anolyte pH (5–10), and initial chemical oxygen demand (COD) (76.8–115.2&#xa0;g/L) were evaluated. A mixed dung slurry (2:1:1 poultry: pig: cow) with copper anode-graphite cathode, 340 cm<sup>2</sup> anode area, pH 9, and 105.6&#xa0;g/L COD yielded a maximum volumetric power density (VPD) of 835.5 mW/m<sup>3</sup>, 91.18% COD removal, and internal resistance of 711 Ω. A feedforward artificial neural network (ANN) accurately predicted VPD, COD removal, and resistance (R<sup>2</sup>: 0.9631, 0.9031, 0.9774; RMSE: 33.6 mW/m<sup>3</sup>, 4.36%, 37.42 Ω). The ANN—generated response surfaces identified optimal conditions of pH 9.3 and COD 102.8&#xa0;g/L for peak VPD, pH 10 and COD 105.6&#xa0;g/L for highest COD removal, and pH 10 with COD 101.7&#xa0;g/L for lowest resistance, closely matching experimental results. Sensitivity analysis of the ANN revealed anolyte pH (15.65–29.55% influence), copper—graphite electrode pair (15.61–27.27%), and anode surface area (15.10–28.43%) as the most dominant parameters, followed by substrate composition and initial COD. This integrated experimental-computational framework surpasses the limitations of single-parameter studies and delivers a scalable, low-cost waste-to-energy solution for decentralized valorization of high-strength livestock manure in rural settings, fully supporting circular bioeconomy principles.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Waste-to-Energy Valorization of Poultry, Pig and Cow Dung Slurry Using Microbial Fuel Cells: Optimization and ANN Modeling for Rural Decentralized Application

  • 期刊论文

  • 发表日期：

    2026年5月25日

查看全文
  • Sandeep Kumar,
  • Binanda Khungur Narzary,
  • Kamal Uddin Ahamad

摘要

Livestock manure represents a major agricultural waste stream that contributes to greenhouse gas emissions and eutrophication when improperly managed. This study demonstrates the effective valorization of poultry, pig, and cow dung slurry into renewable bioelectricity and treated effluent using a low-cost, salt-bridge dual-chamber microbial fuel cell (MFC). Through sequential single-factor optimization, the effects of substrate composition, electrode combination, anode surface area (85–340 cm2), anolyte pH (5–10), and initial chemical oxygen demand (COD) (76.8–115.2 g/L) were evaluated. A mixed dung slurry (2:1:1 poultry: pig: cow) with copper anode-graphite cathode, 340 cm2 anode area, pH 9, and 105.6 g/L COD yielded a maximum volumetric power density (VPD) of 835.5 mW/m3, 91.18% COD removal, and internal resistance of 711 Ω. A feedforward artificial neural network (ANN) accurately predicted VPD, COD removal, and resistance (R2: 0.9631, 0.9031, 0.9774; RMSE: 33.6 mW/m3, 4.36%, 37.42 Ω). The ANN—generated response surfaces identified optimal conditions of pH 9.3 and COD 102.8 g/L for peak VPD, pH 10 and COD 105.6 g/L for highest COD removal, and pH 10 with COD 101.7 g/L for lowest resistance, closely matching experimental results. Sensitivity analysis of the ANN revealed anolyte pH (15.65–29.55% influence), copper—graphite electrode pair (15.61–27.27%), and anode surface area (15.10–28.43%) as the most dominant parameters, followed by substrate composition and initial COD. This integrated experimental-computational framework surpasses the limitations of single-parameter studies and delivers a scalable, low-cost waste-to-energy solution for decentralized valorization of high-strength livestock manure in rural settings, fully supporting circular bioeconomy principles.

Graphical Abstract