微生物燃料电池作为污泥氧化和非生物硝酸盐还原的绿色技术:田口多准则决策方法的集成

IF 5.8 2区 生物学 Q1 AGRICULTURAL ENGINEERING
Nevim Genç, Elif Durna Pi̇şki̇n, Merve Türk
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引用次数: 0

摘要

在能源生产领域利用废物对可持续废物管理至关重要。微生物燃料电池(MFC)以其处理具有还原/氧化特性的污染物同时产生能量的能力成为一种清洁技术。本研究采用多响应田口实验设计,在MFC中对乳制品加工工业废活性污泥的氧化和硝酸盐的非生物还原进行了优化,同时进行了发电。对实验结果进行了库伦效率(CE)、总化学需氧量(TCOD)、最大功率密度(功率密度)和硝酸盐去除响应的优化,并根据需要确定了3种不同的最佳实验条件。采用PROMETHEE法确定了最适宜的替代优化条件。确定了污泥热酸预处理、炭毡/ pt包覆炭布为阳极/阴极、NO3 -加6.5 × 10−6 mmol/L亚甲基蓝为最佳工艺条件。在此条件下,CE、最大功率密度、TCOD和硝酸盐去除率分别为0.72%、81.50 mW/m2、24.5%和11%。以最大功率密度和CE响应最大为优化,得到功率密度为121 mW/m2, CE为1.55%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microbial fuel cell as a green technology for sludge oxidation and abiotic nitrate reduction: Integration of Taguchi-multi criteria decision method

Microbial fuel cell as a green technology for sludge oxidation and abiotic nitrate reduction: Integration of Taguchi-multi criteria decision method
Utilizing waste in the field of energy production is essential for sustainable waste management. Microbial fuel cell (MFC) has become a clean technology with its ability to treat pollutants with reduction/oxidation characteristics and simultaneously produce energy. In this study, the oxidation of dairy processing industry waste activated sludge and abiotic reduction of nitrate were optimized simultaneously with electricity generation in an MFC by multiple response Taguchi experimental design. The experimental results were optimized for coulombic efficiency (CE), total chemical oxygen demand (TCOD), maximum power density and nitrate removal responses, and three different optimum experimental conditions were obtained according to desirability. The most suitable alternative optimum condition was determined by the PROMETHEE approach. Thermal-acidic pretreatment of the sludge, use of carbon felt/Pt-coated carbon cloth as the anode/cathode electrode and 6.5 × 10−6 mmol/L methylene blue with NO3 were determined as the optimum conditions. Under these conditions, the CE, maximum power density, TCOD, and nitrate removal were obtained as 0.72 %, 81.50 mW/m2, 24.5 %, and 11 %, respectively. With the optimization in which the maximum power density and CE responses were maximized, a power density of 121 mW/m2 and a CE of 1.55 % were obtained.
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来源期刊
Biomass & Bioenergy
Biomass & Bioenergy 工程技术-能源与燃料
CiteScore
11.50
自引率
3.30%
发文量
258
审稿时长
60 days
期刊介绍: Biomass & Bioenergy is an international journal publishing original research papers and short communications, review articles and case studies on biological resources, chemical and biological processes, and biomass products for new renewable sources of energy and materials. The scope of the journal extends to the environmental, management and economic aspects of biomass and bioenergy. Key areas covered by the journal: • Biomass: sources, energy crop production processes, genetic improvements, composition. Please note that research on these biomass subjects must be linked directly to bioenergy generation. • Biological Residues: residues/rests from agricultural production, forestry and plantations (palm, sugar etc), processing industries, and municipal sources (MSW). Papers on the use of biomass residues through innovative processes/technological novelty and/or consideration of feedstock/system sustainability (or unsustainability) are welcomed. However waste treatment processes and pollution control or mitigation which are only tangentially related to bioenergy are not in the scope of the journal, as they are more suited to publications in the environmental arena. Papers that describe conventional waste streams (ie well described in existing literature) that do not empirically address ''new'' added value from the process are not suitable for submission to the journal. • Bioenergy Processes: fermentations, thermochemical conversions, liquid and gaseous fuels, and petrochemical substitutes • Bioenergy Utilization: direct combustion, gasification, electricity production, chemical processes, and by-product remediation • Biomass and the Environment: carbon cycle, the net energy efficiency of bioenergy systems, assessment of sustainability, and biodiversity issues.
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