Bimlesh Kumar

Publications (93) View all

• Article: Performance comparison of batch and continuous flow surface aeration systems

  Bimlesh Kumar, Achanta Ramakrishna Rao
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  ABSTRACT: The oxygen transfer rate and the corresponding power requirement to operate the rotor are vital for design and scale-up of surface aerators. The aeration process can be analyzed in two ways such as batch and continuous systems. The process behaviors of batch and continuous flow systems are different from each other. The experimental and numerical results obtained through the batch systems cannot be relied on and applied for the designing of the continuous aeration tank. Based on the experimentation on batch and continuous type systems, the present work compares the performance of both the batch and continuous surface aeration systems in terms of their oxygen transfer capacity and power consumption. A simulation equation developed through experimentation has shown that continuous flow surface aeration systems are taking more energy than the batch systems. It has been found that batch systems are economical and better for the field application but not feasible where large quantity of wastewater is produced. Key wordsActivated Sludge Process-Continuous Flow-Geometric Similarity-Oxygen Transfer-Power Number-Surface Aerator-Two Film Theory
  Korean Journal of Chemical Engineering 04/2012; 27(6):1796-1800. · 0.99 Impact Factor
• Article: Sustainable bioenergy production strategies for rural India

  Rahul B. Hiremath, Bimlesh Kumar, P. Balachandra, N. H. Ravindranath
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  ABSTRACT: The paper aims to assess the potential of decentralized bioenergy technologies in meeting rural energy needs and reducing carbon dioxide (CO2) emissions. Decentralized energy planning is carried out for the year 2005 and 2020. Decentralized energy planning model using goal programming technique is applied for different decentralized scales (village to a district) for obtaining the optimal mix of energy resources and technologies. Results show that it is possible to meet the energy requirements of all the services that are necessary to promote development and improve the quality of life in rural areas from village to district scale, by utilizing the locally available energy resources such as cattle dung, leaf litter and woody biomass feedstock from bioenergy plantation on wastelands. The decentralized energy planning model shows that biomass feedstock required at village to district level can even be obtained from biomass conserved by shifting to biogas for cooking. Under sustainable development scenario, the decentralized energy planning model shows that there is negligible emission of CO2, oxide of Sulphur (SOx) and oxide of nitrogen (NOx), even while meeting all the energy needs. KeywordsBiomass-Decentralized energy planning-Energy security-Environmental protection
  Mitigation and Adaptation Strategies for Global Change 04/2012; 15(6):571-590. · 1.23 Impact Factor
• Article: Decentralized sustainable energy planning of Tumkur district, India

  Rahul B. Hiremath, Bimlesh Kumar, P. Balachandra, N.H. Ravindranath
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  ABSTRACT: Present work shows the feasibility of decentralized energy options for the Tumkur district in India. Decentralized energy planning (DEP) involves scaling down energy planning to subnational or regional scales. The important aspect of the energy planning at decentralized level would be to prepare an area-based DEP to meet energy needs and development of alternate energy sources at least-cost to the economy and environment. The geographical coverage and scale reflects the level at which the analysis takes place, which is an important factor in determining the structure of models. In the present work, DEP modeling under different scenarios has been carried out for Tumkur district of India for the year 2020. DEP model is suitably scaled for obtaining the optimal mix of energy resources and technologies using a computer-based goal programming technique. The rural areas of the Tumkur district have different energy needs. Results show that electricity needs can be met by biomass gasifier technology, using biomass feedstock produced by allocating only 12% of the wasteland in the district at 8 t/ha/yr of biomass productivity. Surplus electricity can be produced by adopting the option of biomass power generation from energy plantations. The surplus electricity generated can be supplied to the grid. The sustainable development scenario is a least cost scenario apart from promoting self-reliance, local employment, and environmental benefits. © 2010 American Institute of Chemical Engineers Environ Prog, 2011
  Environmental Progress & Sustainable Energy 06/2011; 30(2):248 - 258. · 1.65 Impact Factor
• Article: Parameter optimization of unbaffled circular surface aeration tank.

  Bimlesh Kumar, Achanta Ramakrishna Rao, Ajey Kumar Patel
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  ABSTRACT: The efficiency of the surface aeration systems is generally governed by the geometric and dynamic parameters. The geometry is important because successful translation of the laboratory finding can be scaled up to field installations. Experimental optimization of the geometrical parameters (classical approach of one parameter variations at a time) has certain limitations, because it assumes a linear relationship among the various geometric parameters. In the real experimental process, it is not possible to vary all the parameters simultaneously. In such a case, the model of the system is built through computer simulation, assuming that the model will result in adequate determination of the optimum conditions for the real system. In this paper, two approaches have been used to model the phenomena in unbaffled circular surface aerators: i) Multiple regression and ii) Neural network. It has been found that neural network approach is showing better predictability compared to the multiple regression approach. In process of optimization, the pertinent dynamic parameter is divided into a finite number of segments over the entire range of observations. For each segment of the dynamic parameter, the neural network model is optimized for the geometrical parameters spanning over the entire range of observations. Thus each segment of the dynamic parameter has its set of optimal geometrical conditions. Results obtained are having less variation among them and they are very nearer to the experimental optimal conditions. Input parameter significance test of neural network model reveals that blade width of the rotor is the most significant geometric parameter for the aeration process.
  Journal of environmental science & engineering. 01/2011; 53(1):21-6.
• Article: Green economy: Policy framework for sustainable development

  Kumar P. b. Kumar B.a
  Current Science. 01/2011; 100(7):961-962.