ELECTRICITY PRODUCTION FROM WASTE WATER BY MICROBIAL FUEL CELL
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 5
Abstract
A microbial fuel cell (MFC) is a bio-electrochemical system that converts the chemical energy in the organic compounds such as acetate, lactate, and glucose. It converts renewable energy sources to electrical energy under anaerobic conditions. So it is possible to produce electricity in a MFC from wastewaters. This process is an alternative methodology for generation of electricity. Here the MFC used three different wastewater samples which were achieved maximum power with Tannery effluent was obtained 414 mV followed by municipal wastewater 254 mV and domestic waste water 244 mV. It has been found that a mixture of cow dung can actually result in higher voltage than lechate and kitchen waste. MFC also used to treat the wastewaters under anaerobic process. The highest efficiency of DO removal has been achieved by Tannery waste water (57.14 %), followed by municipal wastewater (50 %) and pond water (44.4%). The Tannery effluent shows the highest efficiency for TSS ( 55.4 %), followed by municipal waste water (51.64 %) and pond water (46.98 %).
Authors and Affiliations
Vikram M
Study the Effect of Surface Treatment on the Mechanical Behaviour of Natural Fiber Composites
This paper explains the effect of surface treatment on the mechanical behavior of PALF epoxy composites. The PALF fibers were given with different types of surface treatments like Alkaline, Benzoylation, Acrylonit...
Talent Management” in Retaining Talents for Organizational Natural Competitive
Talent Management is the capability to create and continuously optimize the talent resources needed to execute a business strategy. In the light of strategic goals, finding new sources of value in employee’s perfo...
A REVIEW ON CLUSTERING-BASED FEATURE SUBSET SELECTION ALGORITHM FOR HIGH DIMENSIONAL DATA
In HD dataset, feature selection involves identifying the subset of good features by using clustering approach. Feature selection involves removal of irrelevant and redundant features which are the essential data...
Cluster, Non cluster and Full Text Indexing Techniques for Efficient Database
Data warehouse is the central management system having pool of datasets. The traditional data warehouse was designed in such a manner that it can efficiently manage transactional data which is highly dominated by...
An approach using Association Rule Mining Technique for frequently matched
Web mining allows you to check for patterns in data through content mining, structure mining, and usage mining Two dynamic areas of today’s research are data mining and the WWW. A combination of the two areas some...