9 results on '"Singh, Bharat"'
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2. Optimal Energy Scheduling and Feasibility Analysis in Microgrid Considering the Hospital Load Model with Isolated Grid
- Author
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Singh, Bharat, Kumar, Ashwani, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Kumar, Ashwani, editor, Singh, S. N., editor, and Kumar, Pradeep, editor
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- 2024
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3. Recent developments and sustainability of alternative fuels: A review.
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Kumar, Vijay, Singh, Bharat, and Saraswat, Manish
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RENEWABLE energy sources , *ALTERNATIVE fuels , *ENERGY development , *BIODIESEL fuels , *ENERGY consumption , *METHYL formate , *HYDROGEN as fuel , *NATURAL resources - Abstract
In recent years, advances in alternative renewable energy sources have driven a shift away from nonrenewable fossil fuel usage in favor of a cleaner environ ment. However, existing environmental issues must be properly addressed and resolved in order to protect energy, water, and other natural resources for the future. This article discusses current advances in alternative energy sources, with an emphasis on energy and environmental sustainability. Concerns over the depletion of fossil fuels have prompted researchers to look for renewable fuels with efficiency equiva lent to those of conventional fuels. In this article the possibilities and prospects for alternative fuels to be utilized in different applications. The qualities of alternative fuels, as well as the efficiency, are thoroughly explored. Oil produced by the vegetable present a highly promising prospect for the utilization of fossil fuels as alternatives. In standard diesel engines, using biodiesel reduces the amount of unburned hydrocarbons, carbon monoxide, particulate matter, and nitrogen oxides. Different alternative fuels have been compared to traditional fuels, and it is obvious that using mixed fuels may significantly reduce the consumption of these fuels. Because many alternative fuels have qualities similar to conventional fuels, the technology required to deal with them are well understood. Hydrogen is an outlier, with ignition properties that are vastly different from those of ordinary fuels. As a result, there are significant challenges in using hydrogen as alternative fuel. Alternative pathways to traditional fuel alternatives are also discussed. The topic of emulsified oils, as well as the application of oxygenates, was eventually discussed. This review's highlighted research works may be utilized as a road map for achieving sustainable development and energy efficiency. In comparison of alternative fuels, alcoholic fuels blend with gasoline have low emission. In ethanol, methanol & butanol, butanol have good physical & chemical properties, which is very good for blending with gasoline. [ABSTRACT FROM AUTHOR]
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- 2023
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4. Impact of Electric Vehicle Load Demand and Energy Storage Device in Integrated Renewable Energy Sources.
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Singh, Bharat and Sharma, Ashwani Kumar
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ELECTRIC vehicle industry ,RENEWABLE energy sources ,ENERGY storage ,ENERGY consumption ,MONTE Carlo method ,ELECTRIC vehicles - Abstract
The intermittent nature of renewable-based generation may cause the dip or rise generation and load imbalances. Besides, the higher penetration of Electric Vehicles can affect the voltage profile and imbalances. The main contribution of the proposed work is to determine (i) the realistic load model of electric vehicle (EV) charging station (ii) the size of battery energy storage (BES) considering the EV load demand with the most realistic ZIP load. (iii) the cost-benefit analysis and the probabilistic modeling of EV load demand are considered for BES sizing. (iv) minimization of the daily energy loss (v), maximizing the total benefit of the system, (vi) the nature of the electric vehicle load demand has been modeled for size determination of energy storage devices. The fuel cost of the thermal generator has been minimized, and the operating and maintenance cost of the Solar Photovoltaic (PV), and Wind Turbine (WT) have been considered in the objective function. The daily energy loss has been reduced to 30.085%. The voltage deviation has been reduced to 1.165%. The analysis has been carried out for the IEEE-33 bus test system. The iterative Monte Carlo Simulation and Nonlinear Programming have been used to solve the multi-objective problem. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Energy Savings in Renewable Integrated Distribution Network and Impact of Storage Devices
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Singh, Bharat, Jagnadan Negi, and Satyaveer Singh Rawat
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Renewable Energy sources ,Radial distribution system ,Energy Loss minimisation ,optimal sizing and siting ,engineering journal ,Battery energy storage device - Abstract
— Energy loss reduction is a significant issue for Renewable energy planning in the Distribution system. The high penetration of wind and solar became the primary task for the optimal size of energy storage to support the power mismatch. In the present work, energy savings have been obtained in a renewable integrated distribution system. The impact of the energy storage device has also been evaluated. The main contribution of this paper is: Optimal location of DGs and battery are obtained by solving single and multi-objective functions. Determination of DG and battery size for loss savings. Impact of battery energy storage device on loss profile and total cost of the system. The simulation results of the test system have been compared with other existing results.
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- 2021
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6. Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program.
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Singh, Bharat and Kumar, Ashwani
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RENEWABLE energy sources , *HYBRID electric vehicles , *ELECTRIC vehicle industry , *CLEAN energy , *ENERGY management , *ENERGY industries - Abstract
Microgrid hybrid renewable energy sources with green energy have become a need for the environment. Electric vehicle (EV) contribution is another revolution in clean energy. The Micro-grid with hybrid renewable energy (HREs) is a cost-effective, eco-friendly solution. The main contribution of the proposed work is; (i) to analyze the impact of the operating reserve power, battery energy storage system (BESS), renewable penetration percentage, and demand response program (DRP) for the EVs load with HREs integration. (ii) minimization of the net present cost (NPC) and Levelized cost of energy (LCOE) of the system with zero unmet HREs, (iii) obtaining the techno-economic analysis of the different combinations of hybrid energy sources as Photovoltaic/Wind-Turbin/Diesel Generator and BESS, with EV load growth. The annual energy purchased and sold from the grid has been reduced by 15.35% and increased by 42.98%, respectively, considering DRP. The NPC of the system has been reduced by 62.62%, considering the BESS. The Hybrid Optimization Model for Electric Renewable (HOMER) software with MATLAB R21a interface has been used for the analysis. This paper represents the feasibility of energy storage with the HREs management study for EV load considering techno-economic, cost-effective, and economic dispatch for feasibility analysis of Hawai Island, USA. • The Demand Response Programme's (DRP) objectives are to reduce the peak demand and shift the load. • Time-of-use pricing DRP/Reserve/BESS/Electric Vehicles (EVs)/and Hybrid-RES are considered. • The JAYA algorithm is used to minimize the NPC and cost of energy for Techno-economic analysis. • The NPC of the system has been reduced by 62.62%, considering the DRP with battery energy storage. • Feasibility and Techno-economic analysis are essential for the distribution network operator. [ABSTRACT FROM AUTHOR]
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- 2023
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7. Study of the influence of vane angle on shaft output of a multivane air turbine.
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Singh, Bharat Raj and Singh, Onkar
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TURBINE blades , *WIND turbines , *ENERGY consumption , *HYDROCARBONS & the environment , *FOSSIL fuels , *RENEWABLE energy sources , *ENERGY conversion , *COMPRESSED air , *AIR engines , *ANGLES (Structural members) - Abstract
Faster consumption of hydrocarbon fuel in the transport sector is posing global threat of depletion of fossil fuel reserves. Studies are being extensively done to search for an alternative energy source and/or to find out appropriate energy conversion system. Among various alternatives, the use of compressed atmospheric air in air turbine is an attractive option provided the atmospheric air is compressed by natural sources such as sun energy, wind energy, etc. It has the capability to produce shaft work with almost zero pollution in the environment. This paper details the mathematical modeling of a small capacity compressed air driven multivane air turbine. The effect of having different vane angles and inlet pressure on shaft work output has been studied and analyzed here. The study shows that the flow work has significant contribution in total work output and varies from 1.5% to 16.3% at different pressures, 2–6 bars, and injection angles, 30°–60°. The total shaft work is found to be maximum at vane angle θ=36° (ten vanes) when injection angle is kept at 60°, and it reduces at vane angle θ=45° (eight vanes) when injection angle is kept at 45° and further goes down at vane angle θ=60° (six vanes) when injection angle is 30°, if injection pressure is maintained at 6 bars and speed of rotation at 2500 rpm. [ABSTRACT FROM AUTHOR]
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- 2010
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8. Wind Power Interconnection into the Power System: A Review of Grid Code Requirements
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Singh, Bharat and Singh, S.N.
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WIND power plants , *ELECTRIC power plants , *POWER resources , *RENEWABLE energy sources - Abstract
The burgeoning wind sector, and its increasing influence on the operation and control of power systems, has made grid integration a key recent concern. Different countries are taking different approaches in setting up new grid codes to address this issue. [Copyright &y& Elsevier]
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- 2009
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9. Forecasting GHG emissions for environmental protection with energy consumption reduction from renewable sources: A sustainable environmental system.
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Huang, Jiaqing, Wang, Linlin, Siddik, Abu Bakkar, Abdul-Samad, Zulkiflee, Bhardwaj, Arpit, and Singh, Bharat
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GREENHOUSE gases , *ENERGY consumption , *GREENHOUSE gas mitigation , *ENVIRONMENTAL protection , *RENEWABLE energy sources , *POWER resources , *FORECASTING - Abstract
• To propose novel techniques to predict greenhouse gas emissions and minimize energy consumption in renewable sources based on a sustainable environment. • The deep neural network has improved energy efficiency to predict greenhouse gas emissions using a statistic regression neural network. • This research proposed a novel technique in predicting greenhouse gas emission and minimization of energy consumption in renewable sources based on a sustainable environment. • Here, the greenhouse gas emission has been predicted using statistic regression neural network. The long-term viability of energy resources as a main input is essential to achieve long-term economic growth of a country and the energy efficiency significantly reduces energy consumption and greenhouse gas emissions, supporting environmental sustainability. As a result, a number of governments, led by those in the developed world, are making an effort to enact laws governing energy efficiency. This study suggests cutting-edge methods for forecasting greenhouse gas emissions and reducing energy demand from renewable sources based on a sustainable environment. Utilizing the statistical regression neural network (SRNN), greenhouse gas emissions have been predicted, and the deep neural network's (DNN) energy efficiency has increased. The SRNN_DNN intensity method out predicts evaluated MLR (multiple linear regression) and second- and third-order non-linear MPR (multiple polynomial regression) techniques according to MAPE (mean absolute percentage error) results. Furthermore, presented methods are considered suitable for computing GHG emissions due to the high accuracy of the SRNN DNN model. The anticipated greenhouse gas emissions related to energy were remarkably similar to the actual emissions of EU (European Union) nations. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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