Physico-chemical analysis of selected industrial effluents and its treatment using novel biocarbon

2020 ◽  
Vol 10 (3) ◽  
pp. 69-76
Author(s):  
Sundaram R ◽  
Singanan M
Keyword(s):  
Heavy Metals ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Research Work ◽  
Industrial Effluent ◽  
Industrial Effluents ◽  
Leather Industry ◽  
Physico Chemical ◽  
Industry Wastewater

In the present research work, Industrial effluents from a sugar industry, thermal power plant and a leather industry wastewater are collected in selected locations in Chennai region during January 2018 to December 2019. In the present research work, the following essential physico-chemical parameters such as colour, pH, electrical conductivity, TDS, TSS, TH, DO, BOD, COD and metals such as calcium and magnesium, anions of chloride, sulphate and nitrate was determined. In addition, selected heavy metals for instance Cu, Cd, Pb, Ni and Cr which are commonly found in the industrial wastewater is quantified for assessing the level of pollution load in the wastewater. In the present research work, the removal of heavy metal pollutants and the organic load was carried out using AIBC as adsorbent and the results indicates that, in sugar, thermal power plant and leather industry wastewater, the percent removal of Cu is 91.23, 90.32 and 81.12 and Cd is 92.34, 94.64 and 92.20, Pb is 93.64, 95.15 and 90.74, Ni is 90.59, 94.79 and 82.31 and Cr is 93.85, 92.38 and 84.95 respectively. In the present investigation, the use of biocarbon produced from the leaves of Lawsonia inermis and interfaced with alumina as support material was used as an effective, low-cost and inexpensive material for the removal of heavy metals Cu, Cd, Pb, Ni and Cr from selected industrial effluent for the treatment of wastewater.

Thermal Power Plant Modelling with Fault Coverage Stochastically

2016 ◽  
Vol 6 (3) ◽  
pp. 28-44
Author(s):  
Nupur Goyal ◽  
Mangey Ram ◽  
Akshay Bhardwaj ◽  
Amit Kumar
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Research Work ◽  
Fault Coverage ◽  
Supplementary Variable ◽  
Reliability Measures ◽  
Variable Technique ◽  
Complex Process ◽  
Plant Modelling

The present research work proposes a mathematical model of thermal power plant to analyse its performance through reliability measures. Evaluation of reliability measure for thermal power plant is a complex process. The thermal power plant is modelled using Markov process and explored the reliability measures with supplementary variable technique. Also the expected profit to the operation and maintenance of the thermal power plant has been discussed. Failures exist in the thermal power plant affect the performance of the plant, so, to enhance the performance of the plant, authors employs fault coverage technique and demonstrated the effect of fault coverage and component failure on reliability measures graphically by taken some numerical examples for the practical utility.

scholarly journals Physico-chemical characterization of slag waste coming from GICC thermal power plant

2001 ◽  
Vol 50 (4) ◽  
pp. 246-250 ◽  
Author(s):  
A Acosta ◽  
M Aineto ◽  
I Iglesias ◽  
M Romero ◽  
J.Ma. Rincón
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Chemical Characterization ◽  
Physico Chemical ◽  
Slag Waste

scholarly journals Trace Analysis of Heavy Metals in Ground Water and Soil near Coal Based Thermal Power Plant Udupi Karnataka

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Nausha Shetty ◽  
◽  
Jyothi K Shetty ◽  
Dr Mohandas Chadaga ◽  
Dr Udaya Shankara H N ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Power Plant ◽  
Ground Water ◽  
Thermal Power Plant ◽  
Heavy Metal Contamination ◽  
Thermal Power ◽  
Soil Samples ◽  
Preliminary Treatment ◽  
Post Monsoon

The study involves evaluation of quality of groundwater and soil near the Thermal power plant located in Udupi District, Karnataka, India based on seasonal variation. 24 samples of ground water and soil were collected during Pre-Monsoon, Post- Monsoon and Monsoon Seasons from the places which are surrounding the Thermal Power plant. Collected Ground water samples were tested for detection of various heavy metal concentrations such as Ni, Fe, Mn, Cr, and Pb and soil samples were detected for Ni, Fe, Mn, Cr, Pb, Cd and Co. Collected soil samples were sieved according to different Standard sieve size. After sieving, soil samples were digested using tri-acids (Nitric Acid, Hydrogen peroxide and Concentrated Hydrochloric acid). Both Ground water and Soil samples were analysed for heavy metal contamination by using Atomic Absorptive Spectrometry. From the results obtained for Pre-Monsoon, Post-Monsoon and Monsoon Season it showed that concentration of heavy metals in the samples were exceeding the permissible limit prescribed by WHO and BIS. Hence preliminary treatment should be done before discharging in to Ash ponds.

Failure Mode and Effect Analysis of a Thermal Power Plant for Enhancing its Reliability

2011 ◽  
Vol 110-116 ◽  
pp. 2969-2975 ◽  
Author(s):  
N.S. Bhangu ◽  
Rupinder Singh ◽  
G.L. Pahuja
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Research Work ◽  
Component Level ◽  
Effect Analysis ◽  
Thermal Plant

Failure Mode and Effect Analysis (FMEA) has a well deserved reputation for systematic and thorough evaluation of failures at the system, sub-system or component level in all manufacturing and processing sectors. These organizations are looking for the final product to be “safe and reliable”. FMEA helps designers to identify and eliminate/control dangerous failure modes, minimizing damage to the system and its users. This paper, as an extension to the prior research work, introduces an insight into the reasons of failure and its effects in a thermal power plant opted for the case study, based on conceptual designs in context of FMEA. The analysis takes into account preparation of appropriate diagnostic and maintenance procedures with the aim of enhancement of thermal plant reliability. The FMEA technique used may be helpful for the design and maintenance departments to curtail the downtime of the plant.

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