Faculty Publications

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Publications by NITK Faculty

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    Energy efficiency improvement of auxiliary power equipment in thermal power plant through operational optimization
    (2012) Mandi, R.P.; Yaragatti, R.Y.
    This paper describes the results of energy conservation measures for 210 MW coal fired power plant in various thermal power plants spread over the country. Energy efficiency improvement of major auxiliary equipment with different plant load factors are summarized here with improved performance. The effect of plant load factor on all major auxiliary equipment and suggestions for improving the performance of auxiliary equipment are discussed in this paper. Operation of the plant at improved plant load factor reduced the auxiliary power from 12.05 % at 70 % PLF to 8.74 % at 100 % PLF that reduced the net auxiliary power by 9.1 MU/year and CO2 emission is reduced by about 9,500 t/year. Operating the plant at optimum excess air, controlling the furnace ingress, improving the performance of individual equipment by proper maintenance, etc., improved the plant capacity and reduced the overall auxiliary power by about 1.5-2.1 % of gross energy generation. © 2012 IEEE.
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    A unique method to uniformly distribute the load in LEACH and simulation
    (2013) Saboo, N.; Bhat, P.P.; Panwar, S.; Yadav, R.; Guddeti, G.
    A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. Energy efficiency is the important key for WSN. To lower the energy consumption, the network is divided into several clusters in cluster routing algorithm LEACH (Low Energy Adaptive Clustering Hierarchy). Even though clustering provides energy efficiency, but uneven load distribution still occurs in general. In this paper an approach is presented which divides the deployment region into sub-regions and thereby uniformly distributing the load among the sensor nodes. Different shapes are considered for dividing the deployment region into equal sub-regions. The proposed algorithm is known as enhanced LEACH (e-LEACH). © 2013 IEEE.
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    Energy efficient network architecture for IoT applications
    (Institute of Electrical and Electronics Engineers Inc., 2016) Sarwesh, P.; V.Shet, V.S.N.; Chandrasekaran, K.
    Wireless Sensor Network (WSN) and low power smart device network (Internet of Things) are fast growing technologies used in wide range applications. In IoT nodes are defined as sensor/actuators, which are highly constrained in nature (limited in energy and CPU usage). Designing energy efficient network architecture and routing mechanism is a great challenge in IoT networks. The network is said as energy efficient, based on node survivability. In this paper, energy efficient network architecture is proposed to prolong the network lifetime. Sensor nodes and relay nodes are placed in hierarchical manner to avoid uneven energy drainage (energy hole problem). In proposed architecture, sensors do sensing and relay nodes handle communication (data transmission from sensor to sink), which reduce the complexity of device. Relay node placement is done based on data traffic of the network. Energy efficient routing mechanism is implemented in proposed architecture to achieve balanced energy consumption. In our results, uniform energy consumption and better network lifetime is obtained. © 2015 IEEE.
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    Direct Instantaneous Torque Control of Five-Phase Segmented Switched Reluctance Motor with Bipolar Excitation for In-Wheel Electric Vehicles
    (Institute of Electrical and Electronics Engineers Inc., 2020) Ronanki, D.; Dekka, A.; Parthiban, P.; Beig, A.R.
    Multi-phase segmented switched reluctance motors (SRMs) are the better option for in-wheel electric vehicles due to higher specific torque (70% more) and torque density than conventional toothed SRMs. Furthermore, it allows to excite two or more phases simultaneously in order to avoid torque dips during the phase commutations. However, conventional control schemes cause severe torque pulsations. In this paper, a new direct instantaneous torque control technique for a five-phase segmented SRM (SSRM) with bipolar excitation is proposed. SSRM is fed by the five-phase voltage source inverter (VSI) instead of a conventional asymmetric H-bridge (AHB) converter. The performance of the proposed control algorithm is validated through MATLAB simulations. Results show that the proposed control scheme exhibits an improved performance under a vehicle load. © 2020 IEEE.
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    Resource Allocation in Multi-Access Edge Computing using Teaching-Learning Based Optimization: A Multi-Objective Approach
    (Institute of Electrical and Electronics Engineers Inc., 2024) Al-Attabi, K.; Kumar, S.; Naik, A.V.; Bhagavanthu, M.; Reddy, R.A.
    Efficient resource allocation in Multi-access Edge Computing (MEC) plays a pivotal role in achieving high throughput, low latency, energy efficiency, and user fairness. Traditional optimization approaches often address these goals separately, leading to suboptimal solutions in dynamic environments with multifaceted user demands. This research proposes a multi-objective framework for resource allocation in MEC by leveraging the Teaching-Learning Based Optimization (TLBO) algorithm. The TLBO algorithm, inspired by the classroom learning process, iteratively improves a population of candidate solutions by sharing knowledge among learners and guidance from a 'teacher.' The research formulate the resource allocation problem as a multi-objective optimization problem and demonstrate how TLBO can effectively discover Pareto-optimal solutions that represent trade-offs between conflicting objectives. Experimental results on simulated MEC scenarios demonstrate the superiority of with throughput of 150 mbps the proposed approach compared to baseline strategies such as greedy of 135 mbps and weighted round robin of 142 mbps. © 2024 IEEE.
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    LitE: Load Balanced Virtual Data Center Embedding for Energy Efficiency in Data Centers
    (Association for Computing Machinery, Inc, 2025) Preetham, N.; Addya, S.K.; Keerthan Kumar, K.K.; Hegde, S.
    Network virtualization (NV) enables efficient management of physical network (PN) resources by partitioning them into virtual data center requests (VDCRs), consisting of interconnected virtual machines (VMs) and virtual links (VLs). A key challenge in NV is virtual data center embedding (VDCE), which allocates PN resources to VMs and VLs and is -hard problem. Existing VDCE strategies often fail to balance energy efficiency and resource distribution, leading to sub-optimal solutions with higher energy consumption in data centers (DCs). This work presents LitE, a load-balanced VDCE strategy focused on minimizing energy consumption in single-domain PN. LitE uses a resource management strategy that considers server utilization, overloading probability, and energy consumption to select suitable servers for VM embedding. It then applies Dijkstra's shortest path algorithm for VL embedding to optimize energy use. Experiments show LitE improves energy efficiency by compared to baseline methods through better resource utilization. © 2025 Copyright held by the owner/author(s).
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    Design of haul road lighting system. Part I: Design based on optimal energy considerations
    (2006) Karmakar, N.C.; Mangalpady, M.; Rao, Y.V.; Yaragatti, U.R.
    Electrical energy consumption is a major cost component of haul road lighting. Haul road lighting depends on many parameters such as type and wattage of sources, mounting height and tilt angle of light fixtures. In this study a computer model has been developed for optimum energy consumption of any haul road lighting system. Using the program, illumination design was studied for a stretch of 800m long haul road. Nine different types of light sources were considered for mounting heights of 12 and 16m. High-pressure sodium vapour (HPSV) lamps of 100W proved to be energy efficient at a 12m height whereas at 16m height, energy consumption was minimum for 150 W HPSV lamps. Thus the developed computer program proved to be successful in evaluating the performance of lighting designs from the point of view of energy consumption.
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    6BTA 5.9 G2-1 Cummins engine performance and emission tests using methyl ester mahua (Madhuca indica) oil/diesel blends
    (2009) Godiganur, S.; Suryanarayana Murthy, C.H.; Reddy, R.P.
    Neat mahua oil poses some problems when subjected to prolonged usage in CI engine. The transesterification of mahua oil can reduce these problems. The use of biodiesel fuel as substitute for conventional petroleum fuel in heavy-duty diesel engine is receiving an increasing amount of attention. This interest is based on the properties of bio-diesel including the fact that it is produced from a renewable resource, its biodegradability and potential to exhaust emissions. A Cummins 6BTA 5.9 G2- 1, 158 HP rated power, turbocharged, DI, water cooled diesel engine was run on diesel, methyl ester of mahua oil and its blends at constant speed of 1500 rpm under variable load conditions. The volumetric blending ratios of biodiesel with conventional diesel fuel were set at 0, 20, 40, 60, and 100. Engine performance (brake specific fuel consumption, brake specific energy consumption, thermal efficiency and exhaust gas temperature) and emissions (CO, HC and NOx) were measured to evaluate and compute the behavior of the diesel engine running on biodiesel. The results indicate that with the increase of biodiesel in the blends CO, HC reduces significantly, fuel consumption and NOx emission of biodiesel increases slightly compared with diesel. Brake specific energy consumption decreases and thermal efficiency of engine slightly increases when operating on 20% biodiesel than that operating on diesel. © 2008 Elsevier Ltd. All rights reserved.
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    Efficiency improvement on the multicrystalline silicon wafer through six sigma methodology
    (2012) Saravanan, S.; Mahadevan, M.; Suratkar, P.; Gijo, E.V.
    Crystalline silicon solar cell technology continues to be dominant in the photovoltaic (PV) technology due to its novel process flow and the clear understanding of the material. Being a mature material-based technology; on the one hand, it has quite a few opportunities for improvement, on the other hand, the expansion of solar energy should depend on this technology. Due to increase in the global energy consumption and high competition level in the market, it has become necessary to show significant improvement in the performance of the present process/product. The demand for high efficiency solar cells at low costs with shorter cycle times forced the manufacturing industries to improve their processes by applying systematic methodologies such as Six Sigma. This paper illustrates the importance of anti-reflective coatings (ARCs) on the silicon solar cell processes and the successful implementation of Six Sigma to improve the efficiency of the silicon solar cells. The different phases of the Six Sigma DMAIC approach applied to the process and the results are interpreted. © 2012 Copyright Taylor and Francis Group, LLC.
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    Optimizing the position of insulating materials in flat roofs exposed to sunshine to gain minimum heat into buildings under periodic heat transfer conditions
    (Springer Verlag service@springer.de, 2016) Saboor, S.; Ashok Babu, A.B.P.S.
    Building roofs are responsible for the huge heat gain in buildings. In the present work, an analysis of the influence of insulation location inside a flat roof exposed directly to the sun’s radiation was performed to reduce heat gain in buildings. The unsteady thermal response parameters of the building roof such as admittance, transmittance, decrement factor, and time lags have been investigated by solving a one-dimensional diffusion equation under convective periodic boundary conditions. Theoretical results of four types of walls were compared with the experimental results available in literature. The results reveal that the roof with insulation placed at the outer side and at the center plane of the roof is the most energy efficient from the lower decrement factor point of view and the roof with insulation placed at the center plane and the inner side of the roof is the best from the highest time lag point of view among the seven studied configurations. The composite roof with expanded polystyrene insulation located at the outer side and at the center plane of the roof is found to be the best roof from the lowest decrement factor (0.130) point of view, and the composite roof with resin-bonded mineral wool insulation located at the center plane and at the inner side of the roof is found to be energy efficient from the highest time lag point (9.33 h) of view among the seven configurations with five different insulation materials studied. The optimum fabric energy storage thicknesses of reinforced cement concrete, expanded polystyrene, foam glass, rock wool, rice husk, resin-bonded mineral wool, and cement plaster were computed. From the results, it is concluded that rock wool has the least optimum fabric energy storage thickness (0.114 m) among the seven studied building roof materials. © 2015, Springer-Verlag Berlin Heidelberg.