Journal articles: 'Power and Energy'

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Nah, Do-Baek, Hyo-Soon Shin, and Duck-Joo Nah. "Offshore Wind Power, Review." Journal of Energy Engineering 20, no. 2 (June 30, 2011): 143–53. http://dx.doi.org/10.5855/energy.2011.20.2.143.

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Guerra, Gerardo, and Juan A. Martinez Velasco. "A virtual power plant model for time-driven power flow calculations." AIMS Energy 5, no. 6 (2017): 887–911. http://dx.doi.org/10.3934/energy.2017.6.887.

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Prof.MS.Vaishali R, Prof MS Vaishali R., Prof D. K. shende Prof.D.K.shende, and Prof MS Shubhangi Prof. MS. Shubhangi. "Energy Optimization And Power Scheduling In Low Power Sensor Network." International Journal of Scientific Research 1, no. 3 (June 1, 2012): 40–42. http://dx.doi.org/10.15373/22778179/aug2012/15.

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Eom, T. Y., C. S. Oh, and S. J. Park. "Wireless Power Transfer Technologies Trends." Journal of Energy Engineering 24, no. 2 (June 30, 2015): 174–78. http://dx.doi.org/10.5855/energy.2015.24.2.174.

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Prasad, Hari, Lakshmipathi S, Nelson John Antony D, Vishwas C, and Subhashini S. "SMART POWER GENERATION WITH RENEWABLE ENERGY SOURCES." International Journal of Current Engineering and Scientific Research 6, no. 6 (June 2019): 126–38. http://dx.doi.org/10.21276/ijcesr.2019.6.6.22.

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Aminuddin, Jamrud, Mukhtar Effendi, Nurhayati Nurhayati, Agustina Widiyani, Pakhrur Razi, Wihantoro Wihantoro, Abdullah Nur Aziz, et al. "Numerical Analysis of Energy Converter for Wave Energy Power Generation-Pendulum System." International Journal of Renewable Energy Development 9, no. 2 (April 20, 2020): 255–61. http://dx.doi.org/10.14710/ijred.9.2.255-261.

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The wave energy power generation-pendulum system (WEPG-PS) is a four-wheeled instrument designed to convert wave power into electric energy. The first wheel is connected to the pendulum by a double freewheel, the second and third are ordinary wheels, while the fourth is a converter component that is axially connected to the electric generator. This design used the Euler-Lagrange formalism and Runge-Kutta method to examine an ideal dimension and determine the numerical solution of the equation of motion related to the rotation speed of the wheels. The result showed that the WEPG-PS' converter system rotated properly when its mass, length, and moment of inertia are 10 kg, 2.0 m, and 0.25 kgm2, respectively. This is in addition to when the radius of the first, second, third, and fourth wheels are 0.5, 0.4, 0.2, and 0.01 m, with inertia values of 0.005, 0.004, 0.003, and 0.1 kgm2. The converter system has the ability to rotate the fourth wheel, which acts as the handle of an electric generator at an angular frequency of approximately 500 - 600 rad/s. The converter system is optimally rotated when driven by a minimum force of 5 N and maximum friction of 0.05. Therefore, the system is used to generate electricity at an amplitude of 0.3 - 0.61 m, 220 V with 50 Hz. Besides, the lower rotation speed and frequency of the energy converter of the WEPG-PS (300 rad/s) and induction generator (50 Hz) were able to generate electric power of 7.5 kW. ©2020. CBIORE-IJRED. All rights reserved

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Dewi, Marmelia P., Andri D. Setiawan, Yusuf Latief, and Widodo Wahyu Purwanto. "Investment decisions under uncertainties in geothermal power generation." AIMS Energy 10, no. 4 (2022): 844–57. http://dx.doi.org/10.3934/energy.2022038.

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<abstract> Geothermal energy is one of the strategies employed by the Indonesian government to meet rising electricity demand. Developing geothermal energy is often characterized by uncertainties and requires sequential decision-making which is divided into four development phases: 1) identification, 2) exploration, 3) exploitation, and 4) engineering, procurement, construction, and commissioning (EPPC) before it can be commercialized. Traditional valuation techniques often produce a negative net present value (NPV), suggesting decision to reject the project's investment plan. This paper investigates the economic viability of a geothermal power generation project using both NPV and real options analysis (ROA). Costs and uncertainties associated with the various development phases as well as the investment structure of geothermal projects are studied. We develop a framework for assessing the impact of four uncertainties using a binomial lattice: capacity factor, electricity price, make-up well-drilling costs, and operation and maintenance (O&M) costs. Secondary data from an Indonesian context geothermal power plant was used. Positive option values were found for the lattice approach compared to negative values found for the common NPV calculation. The result of this study showed the successful outcome of the exploration stage is very critical to determining the continuation of the project. The framework supports decision-makers in evaluating the impact of geothermal power generation projects in the face of uncertainty by providing a rigorous analysis. The movement of the underlying asset's value in the whole project's lifetime will assist the management in deciding on whether to exit or continue. </abstract>

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Moriarty, Patrick. "Global nuclear energy: an uncertain future." AIMS Energy 9, no. 5 (2021): 1027–42. http://dx.doi.org/10.3934/energy.2021047.

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<abstract> Nuclear energy currently accounts for a declining share of global electricity, but it is possible that rising concerns about global climate change and China's ambitious nuclear program could reverse this trend. This review attempts to assess the global future of nuclear power, showing how the optimistic forecasts in the early days of nuclear power have been replaced by far more modest forecasts. The review first discusses the controversies surrounding nuclear power. It then briefly examines the prospects for three proposed reactors of the future: Small Modular Reactors; Generation IV breeder reactors; fusion reactors. It finally discusses the social and political context for nuclear power, both today and in the future. </abstract>

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Arabkoohsar, Ahmad, and Gorm B. Andresen. "A New Bifunctional Energy Storage Solution for Conventional and Renewable Energy Power Plants." Journal of Clean Energy Technologies 5, no. 6 (November 2017): 454–57. http://dx.doi.org/10.18178/jocet.2017.5.6.415.

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Azevedo, Joaquim, and Fábio Mendonça. "Small scale wind energy harvesting with maximum power tracking." AIMS Energy 3, no. 3 (2015): 297–315. http://dx.doi.org/10.3934/energy.2015.3.297.

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Ha, Gak-Hyeon, and Sung-Hwan Kim. "Cost Scaling Factor according to Power Plant Capacity Change." Journal of Energy Engineering 22, no. 3 (September 30, 2013): 283–86. http://dx.doi.org/10.5855/energy.2013.22.3.283.

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Song, Dong-Soo. "Analysis of Loss of HVAC for Nuclear Power Plant." Journal of Energy Engineering 23, no. 1 (March 31, 2014): 90–94. http://dx.doi.org/10.5855/energy.2014.23.1.090.

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R. Jones, Christopher, Eckart Lange, Jian Kang, Aki Tsuchiya, Robert Howell, Aidan While, Richard J. Crisp, et al. "WindNet: Improving the impact assessment of wind power projects." AIMS Energy 2, no. 4 (2014): 461–84. http://dx.doi.org/10.3934/energy.2014.4.461.

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Moe, Espen. "Does politics matter? Explaining swings in wind power installations." AIMS Energy 5, no. 3 (2017): 341–73. http://dx.doi.org/10.3934/energy.2017.3.341.

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Doso, Oying, and Sarsing Gao. "An overview of small hydro power development in India." AIMS Energy 8, no. 5 (2020): 896–917. http://dx.doi.org/10.3934/energy.2020.5.896.

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Morrow, James. "Energy and power." Physics World 19, no. 2 (February 2006): 16–17. http://dx.doi.org/10.1088/2058-7058/19/2/28.

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Zorpette, G. "Power and energy." IEEE Spectrum 31, no. 1 (January 1994): 58–61. http://dx.doi.org/10.1109/6.249073.

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Zorpette, G. "Power and energy." IEEE Spectrum 32, no. 1 (1995): 56–59. http://dx.doi.org/10.1109/6.366243.

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Sweet, W. "Power and energy." IEEE Spectrum 33, no. 1 (January 1996): 70–75. http://dx.doi.org/10.1109/6.476736.

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Sweet, W. "Power and energy." IEEE Spectrum 34, no. 1 (January 1997): 38–42. http://dx.doi.org/10.1109/6.560640.

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Zorpette, G. "Power and energy." IEEE Spectrum 27, no. 6 (June 1990): 28–30. http://dx.doi.org/10.1109/6.58400.

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22

Ma, Chao-Tsung, and Tzung-Han Shr. "Power Flow Control of Renewable Energy Based Distributed Generators Using Advanced Power Converter Technologies." Journal of Clean Energy Technologies 3, no. 1 (2015): 48–53. http://dx.doi.org/10.7763/jocet.2015.v3.167.

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23

Mekhtiyev, A. D. "THERMOACOUSTIC ENGINE AS A LOW-POWER COGENERATION ENERGY SOURCE FOR AUTONOMOUS CONSUMER POWER SUPPLY." Eurasian Physical Technical Journal 18, no. 2 (June 11, 2021): 60–66. http://dx.doi.org/10.31489/2021no2/60-66.

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The article deals with the issue of using a thermoacoustic engine as a low-power cogeneration source of energy for autonomous consumer power supply capable of operating on various types of fuel and wastes subject to combustion. The analysis of the world achievements in this field of energy has been carried out. A number of advantages make it very promising for developing energy sources capable of complex production of electrical and thermal energy with a greater efficiency than that of present day thermal power plants. The proposed scheme of a thermal power plant is based on the principle of a Stirling engine, but it uses the most efficient and promising thermoacoustic converter of heat into mechanical vibrations, which are then converted into electric current. The article contains a mathematical apparatus that explains the basic principles of the developed thermoacoustic engine. To determine the main parameters of the thermoacoustic engine, the methods of computer modeling in the DeltaEC environment have been used. A layout diagram of the laboratory sample of a thermal power plant has been proposed and the description of its design has been given. It has been proposed to use dry saturated steam as the working fluid, which makes it possible to increase the generated power of the thermoacoustic engine.

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24

Khan, Irfan, and Ameen Uddin Ahmad. "Power Quality Improvement in Off-Grid Renewable Energy Based Power System using Different Method." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 378–83. http://dx.doi.org/10.31142/ijtsrd2533.

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Uehara, Shingo, and Masaru Ishii. "Power & Energy '98, Power and Energy Society Annual Conference." IEEJ Transactions on Power and Energy 119, no. 6 (1999): 648–51. http://dx.doi.org/10.1541/ieejpes1990.119.6_648.

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26

Früh, Wolf-Gerrit. "From local wind energy resource to national wind power production." AIMS Energy 3, no. 1 (2015): 101–20. http://dx.doi.org/10.3934/energy.2015.1.101.

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Song, Dong-Soo, and Sang-Yeol Kim. "Optimized Flooding Analysis Method for Compartment for Nuclear Power Plant." Journal of Energy Engineering 21, no. 1 (March 31, 2012): 75–80. http://dx.doi.org/10.5855/energy.2012.21.1.075.

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Liu, Yuan, Ruilong Deng, and Hao Liang. "Game-theoretic control of PHEV charging with power flow analysis." AIMS Energy 4, no. 2 (2016): 379–96. http://dx.doi.org/10.3934/energy.2016.2.379.

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A. G. M. Amarasinghe, P., N. S. Abeygunawardana, T. N. Jayasekara, E. A. J. P. Edirisinghe, and S. K. Abeygunawardane. "Ensemble models for solar power forecasting—a weather classification approach." AIMS Energy 8, no. 2 (2020): 252–71. http://dx.doi.org/10.3934/energy.2020.2.252.

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Ludwig, David, Christian Breyer, A. A. Solomon, and Robert Seguin. "Evaluation of an onsite integrated hybrid PV-Wind power plant." AIMS Energy 8, no. 5 (2020): 988–1006. http://dx.doi.org/10.3934/energy.2020.5.988.

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Rehman, Zubair, Ibrahim Al-Bahadly, and Subhas Mukhopadhyay. "Renewable Energy Harvesting for Low Power Wireless Monitoring Networks." Journal of Clean Energy Technologies 5, no. 6 (November 2017): 448–53. http://dx.doi.org/10.18178/jocet.2017.5.6.414.

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32

Hyun, Jin-Woo, and Dong-Un Yeom. "Equipment Importance Classification of Nuclear Power Plants Using Functional Based System." Journal of Energy Engineering 20, no. 3 (September 30, 2011): 200–208. http://dx.doi.org/10.5855/energy.2011.20.3.200.

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Jin, Se-Jun, Dong-Won Jeong, Yong-O. Kwon, and Seung-Hoon Yoo. "The Effects of Wind Power Generation Exports on the National Economy." Journal of Energy Engineering 21, no. 3 (September 30, 2012): 281–91. http://dx.doi.org/10.5855/energy.2012.21.3.281.

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Cho, Mann, and Young-Duk Koo. "Commercialization and Research Trends of Next Generation Power Devices SiC/GaN." Journal of Energy Engineering 22, no. 1 (March 31, 2013): 58–81. http://dx.doi.org/10.5855/energy.2013.22.1.058.

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Yang, Young-Joon. "Design and Implementation of PLC Automatic Welding System with Power-saving." Journal of Energy Engineering 24, no. 3 (September 30, 2015): 6–12. http://dx.doi.org/10.5855/energy.2015.24.3.006.

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Yun, Jin Chul, Jung Myoung Ju, Jong Hyun Hwang, and Seong Jin Park. "Power generation characteristics of thermoelectric module for waste heat energy harvesting." Journal of Energy Engineering 25, no. 4 (December 30, 2016): 184–89. http://dx.doi.org/10.5855/energy.2016.25.4.184.

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Poullikkas, Andreas, Savvas Papadouris, George Kourtis, and Ioannis Hadjipaschalis. "Storage Solutions for Power Quality Problems in Cyprus Electricity Distribution Network." AIMS Energy 2, no. 1 (2014): 1–17. http://dx.doi.org/10.3934/energy.2014.1.1.

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Dinesh, Chinthaka, Pramuditha Perera, Roshan Indika Godaliyadda, Mervyn Parakrama B. Ekanayake, and Janaka Ekanayake. "Non-intrusive load monitoring based on low frequency active power measurements." AIMS Energy 4, no. 3 (2016): 414–43. http://dx.doi.org/10.3934/energy.2016.3.414.

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K. Awopone, Albert, and Ahmed F. Zobaa. "Analyses of optimum generation scenarios for sustainable power generation in Ghana." AIMS Energy 5, no. 2 (2017): 193–208. http://dx.doi.org/10.3934/energy.2017.2.193.

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Bonnet, Caroline, Stéphane Raël, Melika Hinaje, Sophie Guichard, Théophile Habermacher, Julian Vernier, Xavier François, Marie-Cécile Péra, and François Lapicque. "Direct fuel cell—supercapacitor hybrid power source for personal suburban transport." AIMS Energy 9, no. 6 (2021): 1274–98. http://dx.doi.org/10.3934/energy.2021059.

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<abstract> In view to proposing an alternative to oversized energy sources currently installed in electric vehicles for suburban transport, a direct hybrid fuel cell (FC)-supercapacitors (SC) source has been designed and tested on a test bench. The rated 15.6 kW source—with an air-cooled 5.6 kW FC and a 165 F SC storage device—was shown perfectly suited to traction of a 520 kg vehicle along the NEDC cycle, then validating the previously developed concept of a one-ton car propelled by a 10 kW FC in the rated 30 kW hybrid source for this cycle. In comparison with a FC used alone, hybridization was shown to allow the power demand for the cell to vary in quite a narrower range, as formerly observed. Moreover, the rates of fuel cell voltage and current generated in the driving cycle, were shown to be reduced by one order of magnitude by the direct hybridization which is to contribute to the FC durability. Two operating parameters were shown to have a significant effect on the hybrid source efficiency, namely the capacity of the SC at 110 or 165 F, and the recovery of deceleration power—emulated by an external power supply—which can decrease by 25% the fuel consumption in NEDC cycle conditions, as predicted by the model. </abstract>

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Nadia, Awatif, Md Sanwar Hossain, Md Mehedi Hasan, Sinthia Afrin, Md Shafiullah, Md Biplob Hossain, and Khondoker Ziaul Islam. "Determination of transmission reliability margin for brownout." AIMS Energy 9, no. 5 (2021): 1009–26. http://dx.doi.org/10.3934/energy.2021046.

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<abstract> Power shortage is a severe problem in developing countries that are rolling to blackout, but today smart grids have the scope to avoid entire blackouts by transforming them into brownouts. A brownout is an under-voltage condition where the AC supply drops below the nominal value (120 V or 220 V) by about 10%. In a power system network, power shortages or disturbances can occur at any time, and the reliability margin analysis is essential to maintain the stability of the system. Transmission reliability margin (TRM) is a margin that keeps the network secure during any occurrence of disturbance. This paper presents a new approach to compute TRM in the case of brownout. The detailed assessment of TRM largely depends on the estimation of the available transfer power (ATC). In this method, the ATC of the system is calculated considering the effect of alternating current (AC) and direct current (DC) reactive power (Q) flow (DCQF). The entire procedure is carried out for the multi-transaction IEEE-6 bus system, and the results are compared to the current efficiency justification method. Numerical results demonstrate that the proposed technique is an effective alternative for calculating the TRM and is valid compared to the existing technique. </abstract>

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42

Katutsi, Vincent, Milly Kaddu, Adella Grace Migisha, Muhumuza Ezra Rubanda, and Muyiwa S. Adaramola. "Overview of hydropower resources and development in Uganda." AIMS Energy 9, no. 6 (2021): 1299–320. http://dx.doi.org/10.3934/energy.2021060.

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<abstract> Even though hydropower plants are currently the most dominant source of electricity in Uganda, the rate of development of these resources for power generation remains low. Using a semi-systematic review approach, this paper seeks to understand why there is a slow rate of hydropower development in Uganda (challenges) and thereby provide potential solutions to these challenges. With current total capacity of about 1011 MW, findings indicate that there is a higher future prospect for hydropower generation in Uganda, with an estimated potential of over 4500 MW. In terms of number of projects, small-scale hydropower plants dominate power plants in Uganda, currently accounting for 19 out of 35 grid-connected power plants. However, with 855 MW installation capacity, large hydropower plants dominate the power generation plants landscape in Uganda. This study found that the challenges to hydropower development in this country are multi-dimensional including technical, economic, environmental, and social factors, and shows that the cross-cutting challenge is lack of human capacity that possess adequate skills to handle hydropower projects in the country. Furthermore, this study discussed practical solutions to address the identified problems facing hydro power in Uganda. </abstract>

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43

Gill, Amandeep, Pushpendra Singh, Jalpa H. Jobanputra, and Mohan Lal Kolhe. "Placement analysis of combined renewable and conventional distributed energy resources within a radial distribution network." AIMS Energy 10, no. 6 (2022): 1216–29. http://dx.doi.org/10.3934/energy.2022057.

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<abstract> System islanding, relay tripping, and reverse power flow-like issues in the distribution network are all caused by randomly placed distributed energy resources. To minimize such problems, distributed energy resource (DER) optimal placement in the radial distribution network (RDN) is essential to reduce power loss and enhance the voltage profile. When placing DERs, consideration of constraints like size, location, number, type, and power factor (PF) should be considered. For optimal placement, renewable and nonrenewable DERs are considered. The effects of different types and PFs of DER placements have been tested on the IEEE 33 bus RDN to satisfy all limitations. Using various intelligent techniques, distributed energy resource units of optimal type, PF, size, quantity, and position were placed in the IEEE 33 bus RDN. These intelligent strategies for minimizing power loss, enhancing the voltage profile, and increasing the convergence rate are based on an adaptive neuro-fuzzy inference system, a genetic algorithm, and enhanced particle swarm optimization. </abstract>

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Manohar, D. P. Jesudoss, and T. Jayaprakasam. "SOLAR POWER THE SUPER POWER." International Journal of Research -GRANTHAALAYAH 5, no. 1(SE) (January 31, 2017): 58–61. http://dx.doi.org/10.29121/granthaalayah.v5.i1(se).2017.1922.

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India is facing an acute energy scarcity which is hampering its industrial growth and economic progress. Setting up of new power plants is inevitably dependent on import of highly volatile fossil fuels. Thus, it is essential to tackle the energy crisis through judicious utilization of abundant the renewable energy resources, such as Biomass Energy solar Energy, Wind Energy and Geothermal Energy. Apart from augmenting the energy supply, renewable resources will help India in mitigating climate change. India is heavily dependent on fossil fuels for its energy needs. Most of the power generation is carried out by coal and mineral oil-based power plants which contribute heavily to greenhouse gases emission. Solar Power a clean renewable resource with zero emission, has got tremendous potential of energy which can be harnessed using a variety of devices.

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Kaur, Sunimerjit, Yadwinder Singh Brar, and Jaspreet Singh Dhillon. "Multi-objective real-time integrated solar-wind-thermal power dispatch by using meta-heuristic technique." AIMS Energy 10, no. 4 (2022): 943–71. http://dx.doi.org/10.3934/energy.2022043.

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<abstract> The elevated demand for electrical power, expeditious expenditure of fossil fuels, and degradation of the environment because of power generation have renewed attentiveness to renewable energy resources (RER). The rapid augmentation of RER increases the convolutions in leveling the demand and generation of electrical power. In this paper, an elaborated $ \alpha $-constrained simplex method (ACSM) is recommended for multi-objective power dispatch problems. This methodology is devised after synthesizing the non-linear simplex method (SM) with the $ \alpha $-constrained method (ACM) and the evolutionary method (EM). ACSM can transfigure an optimization technique for the constrained problems by reinstating standard juxtapositions with $ \alpha $-level collations. The insertion of mutations and multi-simplexes can explore the periphery of the workable zone. It can also manage the fastness of convergence and therefore, the high precision solution can be obtained. A real-time multi-objective coordinated solar-wind-thermal power scheduling problem is framed. Two conflicting objectives (operating cost and emission) are satisfied. The case studies are carried out for Muppandal (Tamil Nadu), Jaisalmer (Rajasthan), and Okha (Gujarat), India. The annual solar and wind data are analyzed by using Normal Distribution and Weibull Distribution Density Factor, respectively. The presented technique is inspected on numerous archetype functions and systems. The results depict the prevalence of ACSM over particle swarm optimization (PSO), simplex method with mutations (SMM), SM, and EM. </abstract>

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MATSUKUMA, Masaki, and Katsuhiro UEHARA. "E101 ENERGY SAVING TECHNOLOGY IN PRODUCTION INDUSTRY THROUGH RECLAMATION OF STEAM ENERGY(Power System-1)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–237_—_1–240_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-237_.

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Jin, Se-Jun, and Seung-Hoon Yoo. "The Effects of Coal Thermal Power Plant Exports on the National Economy." Journal of Energy Engineering 22, no. 1 (March 31, 2013): 17–27. http://dx.doi.org/10.5855/energy.2013.22.1.017.

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Choi, Hyo-Yeon, Mun-Hyun Ryu, and Seung-Hoon Yoo. "Public Preferences for Replacing Hydro-Electricity Generation with Coal-Fired Power Generation." Journal of Energy Engineering 24, no. 1 (March 31, 2015): 164–71. http://dx.doi.org/10.5855/energy.2015.24.1.164.

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Lee, Yong Bong, and Jeong Ho Kim. "Economic Feasibility of Energy Storage System connected with Solar /Wind Power Generation." Journal of Energy Engineering 24, no. 3 (September 30, 2015): 74–81. http://dx.doi.org/10.5855/energy.2015.24.3.074.

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Park, So-Yeon, Hyun-Ho Shin, and Seung-Hoon Yoo. "Economic Feasibility Analysis of Building Seonam Biogas Combined Heat and Power Plant." Journal of Energy Engineering 25, no. 4 (December 30, 2016): 141–51. http://dx.doi.org/10.5855/energy.2016.25.4.141.

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Journal articles on the topic 'Power and Energy'

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