Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item 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.Item 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.Item 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.Item 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.Item 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.Item 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).