scholarly journals Performance Evaluation of 9 MLD Sewage Treatment Plant at Gurgaon and Cost Effective Measures in Treatment Process

Author(s):  
Mohan Singh Negi ◽  
Vaishali Sahu
2016 ◽  
Vol 15 (3) ◽  
pp. 840-848
Author(s):  
B. Geraats ◽  
M. Parnowska ◽  
L. Kox

Abstract At Linz-Unkel (Germany) sewage treatment plant the first full scale state-of-art EloDry-Pro® plant for sewage sludge has been constructed, consisting of the PYREG® reactor and the EloDry® belt dryer. The system is characterised by small footprint, flexibility, modular design and efficient energy management. The sludge dried using an EloDry® belt dryer undergoes staged combustion using the PYREG® module at around 6,500°C. This reduces the sludge to a fraction of its original volume while disinfecting it and removing micro-pollutants such as pharmaceutical residues. The residual ash, which has a high percentage of plant-available phosphorus, is then supplied to the fertiliser industry as a recycled raw material. The working principle of EloDry-Pro® installation, including heat flows of the system, is presented. The paper describes Pyreg®'s advanced emission control systems, preventing NOx formation and removing harmful substances such as mercury and sulphur. The EloDry-Pro® technology is an innovative and cost-effective approach to decentralised thermal recycling of sewage sludge. Both sewage sludge volumes and transportation costs are reduced by up to 90%, therefore making it a low carbon cost-effective alternative to the transportation of sludge and allowing local sludge processing at plants under 100 k population.


Author(s):  
Jiahui Meng ◽  
Qingyuan Zhao ◽  
Yu Zhang ◽  
Guanglei Wen ◽  
Huimin Ge ◽  
...  

Sewage treatment is one of the main methods to promote the recycling of water resources. The control goal of sewage treatment process is to reduce energy consumption under the premise that the effluent quality reaches the standard. In recent years, model predictive control (MPC) has attracted some attention in sewage treatment. Neural network is widely used in control field because of its strong online learning ability. BP neural network is selected as the prediction layer and control layer of MPC and applied to sewage treatment plant to realize on-line control of dissolved oxygen and nitrate. The training index of traditional neural network usually only selects the error between measured value and set value as the variable, and now the change of control quantity is also taken as the training index variable of control layer to adjust the weight relation between them to get the best control effect. Considering that different weather conditions will have a greater impact on the water inflow, different coefficients of the two can be selected to achieve better results in different weather.


2009 ◽  
Vol 95 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Kunwar P. Singh ◽  
Nikita Basant ◽  
Amrita Malik ◽  
Sarita Sinha ◽  
Gunja Jain

Author(s):  
Ju-Hee Hong ◽  
Jun-Yeon Lee ◽  
Hyun-Ju Ha ◽  
Jin-Hyo Lee ◽  
Seok-Ryul Oh ◽  
...  

Levels of synthetic musk fragrances (SMFs) and various personal care products (PCPs) were measured in the Han River and its tributaries in Seoul, Korea. The most abundant SMF in all river and PCP samples was 4,6,6,7,8,8-hexamethyl-1,3,4,7-tetrahydrocyclopenta[g]isochromene (HHCB), followed by 1-(3,5,5,6,8,8-hexamethyl-6,7-dihydronaphthalen-2-yl)ethanone (AHTN), musk ketone (MK), and 1,1,2,3,3-pentamethyl-2,5,6,7-tetrahydroinden-4-one (DPMI). There was a significant correlation between the SMF concentration in the PCPs and the Han River samples. Moving from upstream to downstream in the Han River, the median SMF concentration was 6.756, 2.945, 0.304, and 0.141 μg/L in the sewage treatment plant (STP) influent, effluent, tributaries, and mainstream, respectively, implying that effective SMF removal was achieved during the sewage treatment process, followed by dilution in the receiving water. Four STPs using advanced biological treatment processes had removal efficiencies of 55.8%, 50.6%, 43.3% for HHCB, AHTN, and MK, respectively. The highest SMF concentrations in the tributaries were observed at locations close to the STPs. Our study confirmed that the main source of SMFs in the receiving water were sewage effluent containing untreated SMFs, which are largely originated from household PCPs, especially hair care products (e.g., shampoo) and perfumes.


1990 ◽  
Vol 25 (1) ◽  
pp. 91-108
Author(s):  
Norman D. Looker ◽  
Edward .A. McBean ◽  
Grahame J. Farquhar

Abstract A comparison of costs of implementing an advanced wastewater treatment system for a cadmium plating plant, versus the sludge disposal costs of the sewage treatment plant to which the plating plant is discharging its effluent, is described. An economic analysis spreadsheet approach using Lotus 1-2-3 is employed. A case study application demonstrates for overall society net benefit that it is cost-effective to initiate pretreatment at electroplating facilities which allows a municipal facility to dispose of its sludge on agricultural land rather than be required for landfilling. Sensitivity analyses to market interest rate, sludge production, sludge disposal fees and drag-out rates are explored.


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