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Journal articles on the topic 'Energy-generation methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Wu, Shengyu, Bo Yuan, and Songxu Xin. "Framework and Research Progress of Generation Energy Integrated Transport System Planning Methods in China." Journal of Clean Energy Technologies 5, no. 2 (2017): 154–58. http://dx.doi.org/10.18178/jocet.2017.5.2.361.

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2

Hix, W. Raphael, and Friedrich-Karl Thielemann. "Computational methods for nucleosynthesis and nuclear energy generation." Journal of Computational and Applied Mathematics 109, no. 1-2 (September 1999): 321–51. http://dx.doi.org/10.1016/s0377-0427(99)00163-6.

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3

Zengin, Namık, Fırat Aslan, Turan Can Artunç, Mehmet Emin Aktan, and Ömer Faruk Güney. "DESIGN OF HYDROKINETIC ENERGY GENERATION SYSTEM." CBU International Conference Proceedings 4 (September 26, 2016): 857–63. http://dx.doi.org/10.12955/cbup.v4.865.

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Along with technological developments and increasing population, people are in need of more energy sources. This need has led researchers to go towards new energy generation methods. One of these methods is hydrokinetic energy generation, which has been studied intensively in recent years. In this study, complete design of a hydrokinetic turbine that converts kinetic energy into mechanical and electrical energy with the most efficiency using tidal water is proposed. Moreover, an undershot water wheel system is designed to gain the least dissipationless conversion of kinetic energy. The design of the hydrokinetic energy generation system is developed considering the environmental and maintenance factors, maximum efficiency and buoyancy. Calculation for the velocity of the turbine is made by using Betz’s law, usually used for wind energy conversion systems. Conversion of obtained mechanical energy from the turbine to electrical energy is supplied by using a proper alternator system.

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Al-Nabulsi, Jamal, Sameh El-Sharo, Nicole Salawy, and Halah Al-Doori. "Methods of energy generation from the human body: a literature review." Journal of Medical Engineering & Technology 43, no. 4 (May 19, 2019): 255–72. http://dx.doi.org/10.1080/03091902.2019.1658818.

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5

Daiva, Stanelyte, Gudzius Saulius, and Andriusiene Liudmila. "Energy Distribution Planning Models Taxonomy and Methods of Distributed Generation Systems." Energy Procedia 107 (February 2017): 275–83. http://dx.doi.org/10.1016/j.egypro.2016.12.150.

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Miller, Lee M., Nathaniel A. Brunsell, David B. Mechem, Fabian Gans, Andrew J. Monaghan, Robert Vautard, David W. Keith, and Axel Kleidon. "Two methods for estimating limits to large-scale wind power generation." Proceedings of the National Academy of Sciences 112, no. 36 (August 24, 2015): 11169–74. http://dx.doi.org/10.1073/pnas.1408251112.

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Wind turbines remove kinetic energy from the atmospheric flow, which reduces wind speeds and limits generation rates of large wind farms. These interactions can be approximated using a vertical kinetic energy (VKE) flux method, which predicts that the maximum power generation potential is 26% of the instantaneous downward transport of kinetic energy using the preturbine climatology. We compare the energy flux method to the Weather Research and Forecasting (WRF) regional atmospheric model equipped with a wind turbine parameterization over a 105 km2 region in the central United States. The WRF simulations yield a maximum generation of 1.1 We⋅m−2, whereas the VKE method predicts the time series while underestimating the maximum generation rate by about 50%. Because VKE derives the generation limit from the preturbine climatology, potential changes in the vertical kinetic energy flux from the free atmosphere are not considered. Such changes are important at night when WRF estimates are about twice the VKE value because wind turbines interact with the decoupled nocturnal low-level jet in this region. Daytime estimates agree better to 20% because the wind turbines induce comparatively small changes to the downward kinetic energy flux. This combination of downward transport limits and wind speed reductions explains why large-scale wind power generation in windy regions is limited to about 1 We⋅m−2, with VKE capturing this combination in a comparatively simple way.

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G., Desai Prasad. "Frictionless Energy Generation using Flywheel." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4289–92. http://dx.doi.org/10.22214/ijraset.2021.35829.

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The intention of this project is to build a straight forward human powered generator from a used bicycle and to use it to power light bulbs, cell phones, laptops, and other small appliances. This project will help to develop engineering skills while learning about a clean way of generating electricity and satisfying our basic requirement. We are going to use the hard drive magnet and inductive coil to generate electricity due to which our mobile phone will be charge and followed by ac to dc converter. This is totally clean way of generating energy. As fuel is not a renewable energy source and the prices are increasing day by day. It will not be affordable by a common man after some period. Here no fuel is required to generate electricity, so everybody can afford this method for power generation also it eliminates the emission of CO2 which will reduces the pollution. Conventional methods for generating electricity make use of dynamo and wind turbine, but they have disadvantage that they produce friction and reduces speed which require more efforts. For the project to work we need strong electromagnets so we have used Neodymium magnets and also used coil. The basic idea of this project comes from the functioning of motor, that is how it rotates in the magnetic field and cut’s the magnetic line and how flux is introduced into the coil. The motivation behind the project is to generate electricity without having any friction and without using natural resources.

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Tanaka, Toru, Tomoya Aonuma, Kenji Natori, and Yukihiko Sato. "Rectification Methods to Increase Harvested Energy in Vibration Generation Using Piezoelectric Elements." IEEJ Transactions on Industry Applications 136, no. 5 (2016): 346–54. http://dx.doi.org/10.1541/ieejias.136.346.

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TANAKA, TORU, TOMOYA AONUMA, KENJI NATORI, and YUKIHIKO SATO. "Rectification Methods to Increase Harvested Energy in Vibration Generation Using Piezoelectric Elements." Electrical Engineering in Japan 199, no. 3 (January 16, 2017): 68–79. http://dx.doi.org/10.1002/eej.22958.

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10

Manfren, Massimiliano, Paola Caputo, and Gaia Costa. "Paradigm shift in urban energy systems through distributed generation: Methods and models." Applied Energy 88, no. 4 (April 2011): 1032–48. http://dx.doi.org/10.1016/j.apenergy.2010.10.018.

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11

Grebski, Wes, Stefan Czerwiński, and Jan Kania. "Methods and Proposals for Meeting Energy Needs." New Trends in Production Engineering 3, no. 1 (August 1, 2020): 98–109. http://dx.doi.org/10.2478/ntpe-2020-0009.

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AbstractThe article includes a comparative analysis of different methods of solving energy problems especially meeting the demand for electricity. Energy problems became a global concern due to the rapid increase in the world population. Energy consumption reflects the habits of the society and the nature of the economy. The focus of the article is the analysis of the United States (USA) energy economy in terms of meeting the needs of industry and society. It includes a comparison of costs of generating electricity obtained from various sources. It also includes an analysis of opportunities and threats related to the energy sector’s dependence on individual energy sources. Meeting the demand for electricity cannot be solved by increasing only the energy generation. The cost of increasing electricity production is always higher compared to increasing energy efficiency. The impact of energy efficiency of devices on energy management was also assessed. The publication also contains practical conclusions and recommendations regarding energy management on a global scale.

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12

Shetty, Nayana. "STORAGE SCHEDULING SCHEME FOR DISTRIBUTED ENERGY GENERATION SOURCES." Journal of Electrical Engineering and Automation 1, no. 02 (December 16, 2019): 93–102. http://dx.doi.org/10.36548/jeea.2019.2.004.

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Innumerable methods of generating, delivering and consuming electricity has become very prominent in the recent days due to the emergence of the distributed energy resources that are comprised of renewable energy sources and the energy storage systems. The prevailing energy storage systems for the distributed energy resources has its own challenges that are related to the methods of storage, the cost of the storage and their functioning. So the paper puts forward a novel energy accumulator that is supported by a rotating magnetic core as storage for the distributed energy resources. The proposed method brings down the operational, technical and financial complexities in storage of the distributed energy resources.

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13

Liu, Guangya, and Mingxiu Cheng. "Discussion and Research of Photovoltaic MPPT Methods." Open Electrical & Electronic Engineering Journal 7, no. 1 (December 13, 2013): 123–30. http://dx.doi.org/10.2174/1874129001307010123.

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Photovoltaic power generation is one of the ways using solar energy resources effectively. In recent years, it has received the world's attention and has been under rapid development. At present, one of the main problems faced by the photovoltaic power generation is the low conversion efficiency. One way to solve this problem is carrying out the maximum power point tracking in the photovoltaic power generation process. The paper focuses on the implementation of the Conductance Increment Method, and carries on the simulation results. Created the photovoltaic cells simulation model and the photovoltaic maximum power point tracking model in MATLAB, the simulation and analysis are carried out.

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An, Yeqi, Yulin Zhou, and Rongrong Li. "Forecasting India’s Electricity Demand Using a Range of Probabilistic Methods." Energies 12, no. 13 (July 4, 2019): 2574. http://dx.doi.org/10.3390/en12132574.

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With serious energy poverty, especially concerning power shortages, the economic development of India has been severely restricted. To some extent, power exploitation can effectively alleviate the shortage of energy in India. Thus, it is significant to balance the relationship between power supply and demand, and further stabilize the two in a reasonable scope. To achieve balance, a prediction of electricity generation in India is required. Thus, in this study, five methods, the metabolism grey model, autoregressive integrated moving average, metabolic grey model-auto regressive integrated moving average model, non-linear metabolic grey model and non-linear metabolic grey model-auto regressive integrated moving average model, are applied. We combine the characteristics of linear and nonlinear models, making a prediction and comparison of Indian power generation. In this way, we enrich methods for prediction research on electrical energy, which avoids large errors in trends of electricity generation due to those accidental factors when a single predictive model is used. In terms of prediction outcomes, the average relative errors from five models above are 1.67%, 1.62%, 0.84%, 1.84%, and 1.37%, respectively, which indicates high accuracy and reference value of these methods. In conclusion, India’s power generation will continue to grow with an average annual growth rate of 5.17% in the next five years (2018–2022).

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15

Grachev, V. A., and O. V. Plyamina. "Eco-efficiency Solutions to Global Problems by Using Different Methods of Energy Generation." Ecology and Industry of Russia 20, no. 9 (January 1, 2016): 34–39. http://dx.doi.org/10.18412/1816-0395-2016-9-34-39.

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Diaz, PM. "A Review on Biogas Plants and Bio energy Generation Methods: Merits and Demerits." SREYAS International Journal of Scientists and Technocrats 1, no. 11 (October 30, 2017): 19–35. http://dx.doi.org/10.24951/sreyasijst.org/2017041004.

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Abbasi-Garravand, Elham, Catherine N. Mulligan, Claude B. Laflamme, and Guillaume Clairet. "Role of two different pretreatment methods in osmotic power (salinity gradient energy) generation." Renewable Energy 96 (October 2016): 98–119. http://dx.doi.org/10.1016/j.renene.2016.04.031.

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18

Bless, Frédéric, Cordin Arpagaus, Stefan S. Bertsch, and Jürg Schiffmann. "Theoretical analysis of steam generation methods - Energy, CO 2 emission, and cost analysis." Energy 129 (June 2017): 114–21. http://dx.doi.org/10.1016/j.energy.2017.04.088.

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19

Azad, A. K., M. G. Rasul, Rubayat Islam, and Imrul R. Shishir. "Analysis of Wind Energy Prospect for Power Generation by Three Weibull Distribution Methods." Energy Procedia 75 (August 2015): 722–27. http://dx.doi.org/10.1016/j.egypro.2015.07.499.

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20

Tanaka, T. "Utilization of renewable energy in metropolitan waterworks: is renewable energy a key to solving energy and environmental issues?" Water Supply 18, no. 3 (August 22, 2017): 1041–50. http://dx.doi.org/10.2166/ws.2017.171.

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Abstract In the field of waterworks in urban areas, renewable energy is being utilized through implementing solar power generation in the upper parts of facilities and hydraulic power generation using gravity flow of water and excess pressure. As a result, we have learned that utilization of renewable energy not only decentralizes and diversifies energy supply to enhance reliability and environmental performance but also recovers its costs sufficiently. This paper proposes several utilization models of renewable energy in metropolitan waterworks by presenting installation, maintenance and management of power generation equipment with renewable energy, power generation volume, reduction of CO2 emissions, future plans and further utilization methods.

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21

Lee, Chung-Hong, Hsin-Chang Yang, and Guan-Bo Ye. "Predicting the Performance of Solar Power Generation Using Deep Learning Methods." Applied Sciences 11, no. 15 (July 27, 2021): 6887. http://dx.doi.org/10.3390/app11156887.

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In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

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Melo, Karen Barbosa de, Hugo Soeiro Moreira, and Marcelo Gradella Villalva. "Influence of Solar Position Calculation Methods Applied to Horizontal Single-Axis Solar Trackers on Energy Generation." Energies 13, no. 15 (July 25, 2020): 3826. http://dx.doi.org/10.3390/en13153826.

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Photovoltaic systems have been explored as a solution to meet the growing demand for electricity from a clean and renewable source. However, the low energy conversion efficiency of photovoltaic panels is one of the critical factors that hinder the competitiveness of this energy source concerning the others. An effective way to improve the efficiency of photovoltaic systems is by using solar trackers. The tracking strategy most used in photovoltaic plants employs algorithms to calculate the Sun position. This work presents energy generation estimation applying six algorithms in horizontal single-axis solar tracking: the Solar Position Algorithm (SPA) and Grena 1–5 algorithms. The aim is to evaluate the influence of these algorithms on energy generation. For all simulated locations, comparing to an ideal scenario, the SPA presented the best energy generation results. However, the other algorithms showed negligible differences between themselves, which allows us to conclude that any of the algorithms can be used without implying significant energy losses. Thus, Grena 1–2 can be highlighted for easier implementation.

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Im, Hyunji, and Yunsoung Kim. "The Electrification of Cooking Methods in Korea—Impact on Energy Use and Greenhouse Gas Emissions." Energies 13, no. 3 (February 5, 2020): 680. http://dx.doi.org/10.3390/en13030680.

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The electrification of cooking methods in Korea was investigated to understand the impact of different cooking methods on energy use and greenhouse gas (GHG) emissions in the building sector. Annual household cooking energy consumption was compared for the Nowon Energy Zero House Project, a zero-energy housing complex using induction cooktops, and a sample of households that used natural gas for cooking. The results showed that the former consumed less calories (a difference of 2.2 times) and emitted less GHGs (a difference of 2.6 times) compared to gas cooking households. A countrywide scenario analysis was conducted by combining the share of electric cooking households with the projected power generation mix in 2030. Under the 2030 Policy scenario for power generation, and with an electricity cooking share of 20%, cooking-related GHG emissions were projected to be 3.79 million t CO2/year; 3.8% (150,000 t CO2/year) lower than those in the present day, despite a total population increase. The electrification of cooking methods in Korea has the potential to reduce both the energy demand of the building sector and GHG emissions, in synergy with the decarbonization of the power generation sector.

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Chang, Wen Yeau. "Comparison of Three Short Term Wind Power Forecasting Methods." Advanced Materials Research 684 (April 2013): 671–75. http://dx.doi.org/10.4028/www.scientific.net/amr.684.671.

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An accurate forecasting method for wind power generation of the wind energy conversion system (WECS) is urgent needed under the relevant issues associated with the high penetration of wind power in the electricity system. This paper presents a comparison of three forecasting approaches on short term wind power generation of WECS. Three forecasting methods, namely, persistence method, back propagation neural network method, and radial basis function (RBF) neural network method, are investigated. To demonstrate the performance of three methods, the methods are tested on the practical information of wind power generation of a WECS. The performance is evaluated based on two indexes, namely, maximum absolute error and mean absolute error.

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Iga, Atsushi, Tomoyuki Kaneko, and Yoshiyuki Ishihara. "Research on Evaluation Methods of Generated Energy and Lowering Factors of Photovoltaic Generation System." IEEJ Transactions on Power and Energy 124, no. 10 (2004): 1247–54. http://dx.doi.org/10.1541/ieejpes.124.1247.

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Li, Jinghua, Jiasheng Zhou, and Bo Chen. "Review of wind power scenario generation methods for optimal operation of renewable energy systems." Applied Energy 280 (December 2020): 115992. http://dx.doi.org/10.1016/j.apenergy.2020.115992.

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Iga, Atsushi, Tomoyuki Kaneko, and Yoshiyuki Ishihara. "Research on evaluation methods of generated energy and lowering factors of photovoltaic generation system." Electrical Engineering in Japan 154, no. 4 (March 2006): 24–33. http://dx.doi.org/10.1002/eej.20222.

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Bozorg-Haddad, Omid, Irene Garousi-Nejad, and Hugo A. Loáiciga. "Extended multi-objective firefly algorithm for hydropower energy generation." Journal of Hydroinformatics 19, no. 5 (June 9, 2017): 734–51. http://dx.doi.org/10.2166/hydro.2017.114.

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Classical methods have severe limitations (such as being trapped in local optima, and the curse of dimensionality) to solve optimization problems. Evolutionary or meta-heuristic algorithms are currently favored as the tools of choice for tackling such complex non-linear reservoir operations. This paper evaluates the performance of an extended multi-objective developed firefly algorithm (MODFA). The MODFA script code was developed using the MATLAB programming language and was applied in MATLAB to optimize hydropower generation by a three-reservoir system in Iran. The two objectives used in the present study are the maximization of the reliability of hydropower generation and the minimization of the vulnerability to generation deficits of the three-reservoir system. Optimal Paretos (OPs) obtained with the MODFA are compared with those obtained with the multi-objective genetic algorithm (MOGA) and the multi-objective firefly algorithm (MOFA) for different levels of performance thresholds (50%, 75%, and 100%). The case study results demonstrate that the MODFA is superior to the MOGA and MOFA for calculating proper OPs with distinct solutions and a wide distribution of solutions. This study's results show that the MODFA solves multi-objective multi-reservoir operation system with the purpose of hydropower generation that are highly nonlinear that classical methods cannot solve.

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Gawkowski, Kamil, and Jarosław Sikora. "Selected methods of converting solar energy into electricity - comparative analysis." E3S Web of Conferences 49 (2018): 00029. http://dx.doi.org/10.1051/e3sconf/20184900029.

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This article presents selected methods of converting solar energy into electricity: photovoltaic cells (PV), converters which use photon-enhanced thermionic emission (PETE), and near-field enhanced thermionic energy conversion systems (NETEC). PETE and NETEC systems are innovative solutions that use the thermionic emission phenomenon and can replace photovoltaic generation of electricity. We did a comparative analysis of such issues as: structure, principle of operation, working temperature and with particular emphasis - efficiency. A comparison of these parameters is shown in the graphs and summarized in the table. Based on the analysis, we have drawn conclusions about previous achievements and development perspectives in the field of converting methods.

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Zubakin, V. A., and N. M. Kovshov. "METHODS AND ANALYSIS MODELS OF ELECRICITY CONSUMPTION IN VIEW OF CYCLISITY AND STOCHASTICS." Strategic decisions and risk management, no. 4 (November 19, 2015): 86–98. http://dx.doi.org/10.17747/2078-8886-2015-4-86-98.

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This article is devoted to the study of variability of electricity generation from renewable sources. Due to the natural features of the generation,it characterized by cyclical fluctuations, as well as the influence of random factors. Availability of information about the basic factors and methods of modeling allows the selection of generating equipment, which provides consumers with the highest quality and uninterrupted energy.

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Rossi, Olivia, and Arvind Chandrasekaran. "Microreactors: ‘micro’managing our macro energy demands." International Journal of Energy Sector Management 13, no. 3 (September 2, 2019): 590–96. http://dx.doi.org/10.1108/ijesm-10-2018-0009.

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Purpose The purpose of this paper is to answer this question by discussing the practicality of implementing microreactor technology towards large-scale renewable energy generation, as well as provide an incentive for future researchers to utilize microreactors as a useful alternative tool for green energy production. However, can microreactors present a viable solution for the generation of renewable energy to tackle the on-going global energy crisis? Design/methodology/approach In this paper, the practicality of implementing microreactor technology toward large-scale renewable energy generation is discussed. Specific areas of interest that elucidate considerable returns of microreactors toward renewable energy production are biofuel synthesis, hydrogen conversion and solar energy harvesting. Findings It is believed that sustained research on microreactors can significantly accelerate the development of new energy production methods through renewable sources, which will undoubtedly aid in the quest for a greener future. Originality/value This work aims to provide a sound judgement on the importance of research on renewable energy production and alternative energy management methods through microreactor technology, and why future studies on this topic should be highly encouraged. The relevance of this opinion paper lies in the idea that microreactors are an innovative concept currently used in engineering to significantly accelerate chemical reactions on microscale volumes; with the feasibility of high throughput to convert energy at larger scales with much greater efficiency than existing energy production methods.

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Xu, Hong Sheng, Qing Tan, and Chao Li. "Construction of New Energy-Saving Building Materials Based on Formal Concept Analysis Methods." Advanced Materials Research 738 (August 2013): 133–36. http://dx.doi.org/10.4028/www.scientific.net/amr.738.133.

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New Building Materials is a new generation of building materials, new wall materials, insulation materials and decoration materials. Building energy efficiency in the construction of building materials, building construction and use of the process, the use of new materials, the rational design of the thermal performance of the building envelope and improve the operating efficiency of the heating system to reduce energy consumption. The paper presents construction of new energy-saving building materials based on formal concept analysis methods. Experimental results show that the proposed method has high efficiency.

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Klimovets, O. V., and V. A. Zubakin. "ESTIMATING METHODS OF INVESTMENTS EFFICIENCY TO OWN GENERATION UNDER THE RISK CONDITIONS." Strategic decisions and risk management, no. 2 (June 3, 2016): 78–84. http://dx.doi.org/10.17747/2078-8886-2016-2-78-84.

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The article is devoted to the assessment of the on-site generation effectiveness taking into account the risk associated with the uncertainty of future values of energy prices. It is shown that the economic efficiency is significantly affected by the unevenness of growth in energy prices and the correlation between load profile and graph of wholesale electricity prices.Restrictions on the applying existing approaches to evaluating the effectiveness of investment projects, based on calculation of uniquely defined cash flows, are approved. The paper shows the necessity of taking risks into account in order to increase the quality of decisions given the influence of energy resources prices on project’s economic efficiency and the uncertainty of future price values. Based on the analysis of quantitative methods of risk assessment it is proposed to use fuzzy-set approach as one of the most effective methods in the conditions of uncertainty of future values.

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Huber, David, Viktoria Illyés, Veronika Turewicz, Gregor Götzl, Andreas Hammer, and Karl Ponweiser. "Novel District Heating Systems: Methods and Simulation Results." Energies 14, no. 15 (July 23, 2021): 4450. http://dx.doi.org/10.3390/en14154450.

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Fifth-generation district heating and cooling (5th DHC) systems offer promising approaches to decarbonizing space heating, cooling and domestic hot water supply. By using these systems, clustered buildings combined with industrial waste heat can achieve a net-zero energy balance on a variety of time scales. Thanks to the low exergy approach, these systems are highly efficient. As part of the Smart Anergy Quarter Baden (SANBA) project, the thermal energy grid simulation tool TEGSim has been further developed and used to design an ultra-low-temperature district heating (ULTDH) network with hydraulic and thermal components fitted to the specific regional characteristics of the investigated case. Borehole thermal energy storage (BTES) used as seasonal storage ensures long-term feasibility. The annual discrepancy of input of thermal energy provided by space cooling and output of energy demanded by space heating and domestic hot water is supplied by an external low-grade industrial waste heat source. This paper presents the functionality of the simulation and shows how to interpret the findings concerning the design of all components and their interplay, energy consumption and efficiencies.

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Edwards, J. "The application of solid state ionic technology for novel methods of energy generation and supply." Solid State Ionics 152-153 (December 2002): 843–52. http://dx.doi.org/10.1016/s0167-2738(02)00384-3.

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Borges, Carmen Lucia Tancredo. "An overview of reliability models and methods for distribution systems with renewable energy distributed generation." Renewable and Sustainable Energy Reviews 16, no. 6 (August 2012): 4008–15. http://dx.doi.org/10.1016/j.rser.2012.03.055.

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Parada, Raúl, Jordi Font, and Jordi Casas-Roma. "Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs." Energies 12, no. 10 (May 14, 2019): 1832. http://dx.doi.org/10.3390/en12101832.

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Reservoirs are natural or artificial lakes used as a source of water supply for society daily applications. In addition, hydroelectric power plants produce electricity while water flows through the reservoir. However, reservoirs are limited natural resources since water levels vary according to annual rainfalls and other natural events, and consequently, the energy generation. Therefore, forecasting techniques are helpful to predict water level, and thus, electricity production. This paper examines state-of-the-art methods to predict the water level in Catalan reservoirs comparing two approaches: using the water level uniquely, uni-variant; and adding meteorological data, multi-variant. With respect to relating works, our contribution includes a longer times series prediction keeping a high precision. The results return that combining Support Vector Machine and the multi-variant approach provides the highest precision with an R 2 value of 0.99.

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Haughey, Michael, Karim He, and Toan Dinh. "Tri-generation and combined cycles: thermodynamic analysis of prime movers in standalone and hybrid configurations." PAM Review Energy Science & Technology 2 (August 31, 2015): 92–103. http://dx.doi.org/10.5130/pamr.v2i0.1397.

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The global movement towards lower carbon economies and distributed energy requires the realisation of improved energy generation methods. Tri-generation is a method of optimising the thermal efficiency of energy generation through waste heat recapturing and can simultaneously provide heating, cooling and electrical output to meet building energy demands. A meta-analysis was conducted to analyse the performance of various prime movers utilised in tri-generation applications. Through this study it was determined that the efficiency of tri-generation and combined cycles can be optimised through a hybridisation of prime movers.

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C., Bajrang, G. Vaira Suganthi, R. Tamilselvi, M. Parisabeham, and A. Nagaraj. "A Systematic Review of Energy Harvesting from Biomechanical Factors." Biomedical and Pharmacology Journal 12, no. 04 (December 10, 2019): 2063–70. http://dx.doi.org/10.13005/bpj/1840.

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Conversion of human mechanical energy to usable electrical energy may seem like something from science fiction for the earliest generation of electronical engineers. But owing to the recent scientific advancements, it is no longer just a fiction but a reality. Researchers are working hard-time to improvise this idea by making attractive advancements in the field every day. This particular advancement gets much attention because it seems to be the most likely candidate to limit the usage of batteries, which have become a paradigm in the commercial world. Harvesting human energy can eliminate the limitations of scientific advancements in the portable and implantable devices due to the usage of batteries as their power source. There are several methods by which energy can be harvested from human activities, including but not restricted to thermoelectric generation, piezoelectric generation and triboelectric generation. These biomechanical phenomena can be tamed for commercial electricity usage under various circumstances. This paper provides a detailed review on these methods and the advancements made so far by researchers all around the globe.

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Li, Yan Long, Jing Xu, and Chong Yuan. "A Study of Photovoltaic Power Prediction." Applied Mechanics and Materials 733 (February 2015): 203–6. http://dx.doi.org/10.4028/www.scientific.net/amm.733.203.

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Solar photovoltaic power generation as an inexhaustible, inexhaustible clean energy has become the focus of future energy development. Along with photovoltaic power generation incorporated into the power grid, in order to make power generation plan reasonably, ensure the stable operation of power system, need to forecast the photovoltaic power output. In this paper solar photovoltaic power generation forecasting methods are analyzed and summarized. According to the application of solar photovoltaic power generation and demand, mainly on photovoltaic power generation system power prediction research method has carried on the comprehensive elaboration, hoping for the researches play an important role in promoting and advancing the development of solar photovoltaic prediction methods.

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Salkuti, Surender Reddy. "Performance Analysis Methods in Smart Grids: An Overview." ECTI Transactions on Electrical Engineering, Electronics, and Communications 16, no. 2 (February 8, 2018): 21–29. http://dx.doi.org/10.37936/ecti-eec.2018162.171335.

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This paper presents an overview of the performance analysis methods available for the Smart Grid (SG). Increased energy demand, volatile energy costs, uncertain power generation from the renewable energy resources (RERs), electric vehicles, and environmental concerns are coming together to change the nature of the traditional power grid. Many utility companies are now moving towards the smart metering and the Smart Grid solutions to address these challenges. Smart Grid is inclusive of advance tools, latest communication technologies and storage devices, which makes the Smart Grid vulnerable and complex. This paper aims to review the performance analysis of Smart Grid. It also presents various models of the Smart Grid performance indices. It presents the methods available for stability, reliability and resilience assessment in Smart Grid. It also describes the implementation approach using the real time tools and techniques.

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Li, Jinyu, Wanfu Liu, and Wuqin Qi. "Hydrogen production technology by electrolysis of water and its application in renewable energy consumption." E3S Web of Conferences 236 (2021): 02001. http://dx.doi.org/10.1051/e3sconf/202123602001.

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In order to deal with the energy crisis and environmental pollution, renewable energy power generation in the world has been rapid development. At present, the most widely used is solar energy and wind energy, but also caused a serious problem of abandoning light and wind. Hydrogen energy has become an ideal carrier of electric energy storage due to its high efficiency, clean and renewable characteristics. Electrolytic water hydrogen production technology with renewable energy as power source is one of the most promising energy conversion methods. This paper briefly analyzes the current situation of power generation and consumption of renewable energy in China in recent years, and then expounds the characteristics, principles, development status and improvement methods of alkaline, proton exchange membrane and high temperature solid oxide electrolytic water hydrogen production technology, and demonstrates its application prospect in the field of renewable energy power generation and energy storage with examples.

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Kałążny, Adam, and Wojciech Morawski. "Taxation of Assets Used to Generate Energy—In the Context of the Transformation of the Polish Energy Sector from Coal Energy to Low-Emission Energy." Energies 14, no. 15 (July 29, 2021): 4587. http://dx.doi.org/10.3390/en14154587.

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(1) Background—The aim of this paper was to indicate whether the taxation of facilities related to renewable or low-emission energy differed significantly from that of facilities generating electricity from coal. (2) Methods—The research was conducted using a descriptive method, and because of the legal nature of the article, a crucial role was played by the dogmatic method. (3) Results—The thesis according to which only the “construction part” is subject to the property tax is the result of many years of disputes between the taxpayers and the tax authorities. In practice, it is difficult to compare the tax burden on assets related to coal and low-emission power generation because of the construction of the tax base in Polish property tax law. Most often, however, the tax burden on assets, which is calculated in the context of the amount of energy produced, tends to favour coal-fired power generation. (4) Conclusion: The property tax regulations in Poland treat the assets used for energy production by all methods identically. In practice, because of the specificity of the tax base, this means a more favourable treatment of facilities associated with coal-fired power generation.

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Kishore, Ravi, and Shashank Priya. "A Review on Low-Grade Thermal Energy Harvesting: Materials, Methods and Devices." Materials 11, no. 8 (August 14, 2018): 1433. http://dx.doi.org/10.3390/ma11081433.

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Combined rejected and naturally available heat constitute an enormous energy resource that remains mostly untapped. Thermal energy harvesting can provide a cost-effective and reliable way to convert available heat into mechanical motion or electricity. This extensive review analyzes the literature covering broad topical areas under solid-state low temperature thermal energy harvesting. These topics include thermoelectricity, pyroelectricity, thermomagneticity, and thermoelasticity. For each topical area, a detailed discussion is provided comprising of basic physics, working principle, performance characteristics, state-of-the-art materials, and current generation devices. Technical advancements reported in the literature are utilized to analyze the performance, identify the challenges, and provide guidance for material and mechanism selection. The review provides a detailed analysis of advantages and disadvantages of each energy harvesting mechanism, which will provide guidance towards designing a hybrid thermal energy harvester that can overcome various limitations of the individual mechanism.

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de Falani, Samira Yusef Araújo, Mario Orestes Aguirre González, Fernanda M. Barreto, José Carlos de Toledo, and Ana Lúcia Vitale Torkomian. "Trends in the technological development of wind energy generation." International Journal of Technology Management & Sustainable Development 19, no. 1 (March 1, 2020): 43–68. http://dx.doi.org/10.1386/tmsd_00015_1.

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This article presents a global overview of emerging trends of wind energy technology development. The research conducted: a bibliographic review of the methods of technological prospecting and wind energy; a patent analysis, presenting the current panorama of technologies in this sector; and mapping of the technological evolution of wind turbines and a proposal of the future trends. The patent analysis identified 25,644 patent registrations from 2003 to 2012, showing a growth trend primarily in the United States and China, with significant representation of companies such as General Electric and Mitsubishi. As defined by the World Intellectual Property Organization (WIPO), knowledge areas focused on patent application deposits cover mechanical engineering; lighting; heating; weapons; blasting; and electricity. The trends show that wind turbines of the future are likely to be vertical and synchronous with the height of the turbine greater than 194m and rotor diameter greater than 164m, and that the power of a wind turbine will exceed 10 MW. The materials used in the blades will be nanomaterials with the characteristics of low density and high resistance such as graphene. Wind turbine towers will feature a hybrid material, combining steel and concrete.

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BOBROVNIKOVA, K., and E. TOVSTUKHA. "METHODS FOR ENERGY EFFICIENCY AND ENERGY SAVING IN THE SMART HOME SYSTEM." Computer Systems and Information Technologies 1, no. 1 (September 2, 2020): 54–59. http://dx.doi.org/10.31891/csit-2020-1-7.

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Today, the efficient use of energy resources is one of the most important tasks. The fastest growing sector of energy consumption in the world is electricity, which is projected to grow by 56% by 2035, and in developed countries almost all the growth is due to the generation and consumption of electricity and heat. Further growth of energy consumption by the population is also expected. At the same time, almost a third of the total energy consumption is made up of certain losses, ie energy is consumed for other purposes. Against the background of global growth in energy consumption, the rate of further accumulation of CO2 emissions will increase. That is why the European Union, United Nations bodies, international financial organizations and the International Energy Agency give priority to energy efficiency issues. To this end, a set of mechanisms and practical tools for economic stimulation of measures to implement modern energy-saving technologies is used at the international level. Smart home is a system for managing the basic life support processes of both small systems (commercial, office premises, apartments, cottages) and large automated complexes (commercial and industrial complexes). One of the important tasks to be solved by the concept of a modern smart home is the problem of energy efficiency and energy saving. Effective control of heating, ventilation, air conditioning, more efficient use of traditional appliances and the introduction of energy-efficient equipment in the building are important to ensure productive, healthy and safe work and life of residents, play an important role in preventing energy loss and reduce impact on the environment. In addition, improving the efficiency of energy management is the only approach to ensuring the energy efficiency and energy saving of many existing buildings that cannot be upgraded according to the requirements of modern construction technologies. The paper presents an overview of modern methods and technologies aimed at ensuring energy efficiency and energy saving in the smart home system.

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Thapliyal, Gaurav. "Footstep Power Generation Using Piezoelectric Material." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 3623–26. http://dx.doi.org/10.22214/ijraset.2021.37175.

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In the day-to-day life, the utilization of power turns of being necessary for each work. This paper focuses on designing a setup that leads to the generation of electrical energy which is going to waste when humans are walking. There are different methods used to produce energy like conventional and non-conventional methods. In this project, we are doing generation of power by walking or running. Power can be generated by walking on the stairs. The generated power will be stored and then we can use it for domestic purposes. The paper proposes a novel technique for the creation of power utilizing piezoelectric sensors kept along the footpaths which can be ready to charge the battery and ready to supply the force at whatever time of our prerequisite. The non-conventional energy system is very essential currently to our nation. Nonconventional energy using footstep is converting mechanical energy into Electrical Energy. Due to this a lot of energy resources have been exhausted and wasted. This system can be installed at homes, schools, colleges, where people move around the clock. The footstep power generation technique through piezoelectric sensors produces electrical force by changing piezoelectric force generation framework is that is sheltered and secure to utilize it does not make any issue or distress for the general population strolling through the footpath, and it is a free strategy. This project will be cost-effective and easy to be installed in populated areas like railway stations, bus stands, and shopping malls. Our project is cost-effective and easy to implement.

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Haq, Ikram, Kinza Qaisar, Ali Nawaz, Fatima Akram, Hamid Mukhtar, Xin Zohu, Yong Xu, et al. "Advances in Valorization of Lignocellulosic Biomass towards Energy Generation." Catalysts 11, no. 3 (February 26, 2021): 309. http://dx.doi.org/10.3390/catal11030309.

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The booming demand for energy across the world, especially for petroleum-based fuels, has led to the search for a long-term solution as a perfect source of sustainable energy. Lignocellulosic biomass resolves this obstacle as it is a readily available, inexpensive, and renewable fuel source that fulfills the criteria of sustainability. Valorization of lignocellulosic biomass and its components into value-added products maximizes the energy output and promotes the approach of lignocellulosic biorefinery. However, disruption of the recalcitrant structure of lignocellulosic biomass (LCB) via pretreatment technologies is costly and power-/heat-consuming. Therefore, devising an effective pretreatment method is a challenge. Likewise, the thermochemical and biological lignocellulosic conversion poses problems of efficiency, operational costs, and energy consumption. The advent of integrated technologies would probably resolve this problem. However, it is yet to be explored how to make it applicable at a commercial scale. This article will concisely review basic concepts of lignocellulosic composition and the routes opted by them to produce bioenergy. Moreover, it will also discuss the pros and cons of the pretreatment and conversion methods of lignocellulosic biomass. This critical analysis will bring to light the solutions for efficient and cost-effective conversion of lignocellulosic biomass that would pave the way for the development of sustainable energy systems.

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Boyekin, Tahsin, and İsmail Kıyak. "Technoeconomic Performance Analysis of Solar Tracking Methods for Roof-Type Solar Power Plants and Electric Vehicle Charging Stations." International Journal of Photoenergy 2021 (April 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/6681084.

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In building integrated photovoltaic (BIPV) solar energy projects, cost effectiveness, durability, and long-term reliability are among the criteria that should be taken into consideration as well as the gain in electricity generation efficiency. Also, in a study, it is stated that a dual-axis solar tracking system occupies approximately 100% more space than a single-axis system and 160% more than a fixed-angle system. It has been observed that most of the studies that are mounted on the building and include a tracking system are small-scale experimental studies. The aim of this article is to present a systematic analysis with a low investment cost, a low operating cost, and high reliability, in a real application especially for roof applications in buildings. Three buildings in the same location and with the same roof area were selected. Photovoltaic power plants with 23.68 kW power were installed; these panels had three types: fixed-angle, manually controlled, and single-axis solar tracking systems. The energy generation system is connected to the network with a double-sided meter, and there is a double-sided energy flow. The energy produced is used to meet the energy needs of the vehicle charging station and common areas of the buildings. Although the single-axis tracking system is 27.85% more efficient than other energy generation methods, the manually adjusted method has proven to have the shortest amortization time. The study also presents shading, which is a serious problem in large-scale roof projects, and the area covered by the module per unit watt produced.

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Newbold, Charles, Mohammad Akrami, and Mahdieh Dibaj. "Scenarios, Financial Viability and Pathways of Localized Hybrid Energy Generation Systems around the United Kingdom." Energies 14, no. 18 (September 7, 2021): 5602. http://dx.doi.org/10.3390/en14185602.

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Decarbonisation is becoming a central aim of countries around the globe, ensuring the effects of climate change do not increase exponentially in the coming years. Renewable energy generation is at the core of this decarbonisation process, enabling economies to divorce themselves from a reliance on oil and coal. Hybrid energy systems can utilise multiple generation methods to supply electrical demand best. This paper investigates the use of localised hybrid energy systems around the UK, comparing the financial viability of solar, wind and hydrokinetic generation methods both as a hybrid system and individually in different scenarios. The significance of having localised hybrid energy systems is that they address two large problems within renewable energy generation, that of storage issues and also generating the electricity far away from where it is actually used, requiring extensive infrastructure. The microgrid optimisation software HOMER was used to simulate each of the generation methods alongside the national grid, including lithium ion batteries and converters to create a comprehensive hybrid system. Net Present Cost, which is the current value of all the costs of installing and operating the system over the project lifetime, was considered as the metric. The analysis finds that for each modelled location, wind turbines in combination with lithium ion batteries and a converter is the system with the lowest Net Present Cost, with the exception of Bristol, which also uses hydrokinetic turbines within the system. The findings indicate the extensive wind resources available within the UK, along with identifying that certain locations around the country also have very high potential for tidal power generation.

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