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Journal articles on the topic 'Energy systems and analysis'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bailey, Brandon M., Torrey J. Wagner, and Jada B. Williams. "E700XD Portable Doppler Radar Energy Systems Analysis." International Journal of Electrical Energy 7, no. 2 (December 2019): 62–66. http://dx.doi.org/10.18178/ijoee.7.2.62-66.

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2

KOŠICKÝ, Tomáš, Ľubomír BEŇA, and Michal KOLCUN. "ANALYSIS OF UTILIZATION BATTERY ENERGY STORAGE SYSTEMS FOR FREQUENCY REGULATION." Acta Electrotechnica et Informatica 14, no. 3 (September 1, 2014): 36–42. http://dx.doi.org/10.15546/aeei-2014-0027.

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3

Ali, Ahmar, Syed Kamal, Waqas Ahmad, Jawad Ahmad, and Sheraz Khan. "Energy Demand Analysis for Distributed Energy Systems." International journal of Engineering Works 9, no. 09 (September 28, 2022): 156–65. http://dx.doi.org/10.34259/ijew.22.909156165.

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4

Kuznetsov, Roman, and Valeri Chipulis. "Regression Analysis in Energy Systems." Advanced Materials Research 740 (August 2013): 772–77. http://dx.doi.org/10.4028/www.scientific.net/amr.740.772.

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The methods are considered for analytical data processing by measurements in heat supply systems. These methods are oriented to the solution of practical problems in the heat-power engineering by using the information-analytical systems. The possibilities of regression analysis for effective heating control and diagnosis of the measuring equipment are shown.

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5

Jebaselvi, G. D. Anbarasi, and S. Paramasivam. "Analysis on renewable energy systems." Renewable and Sustainable Energy Reviews 28 (December 2013): 625–34. http://dx.doi.org/10.1016/j.rser.2013.07.033.

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6

Suresh, S., and M. Mohanraj. "Thermal analysis and energy systems." Journal of Thermal Analysis and Calorimetry 141, no. 6 (July 21, 2020): 2165–67. http://dx.doi.org/10.1007/s10973-020-10024-2.

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7

Nasif, M., R. AL-Waked, G. Morrison, and M. Behnia. "Membrane heat exchanger in HVAC energy recovery systems, systems energy analysis." Energy and Buildings 42, no. 10 (October 2010): 1833–40. http://dx.doi.org/10.1016/j.enbuild.2010.05.020.

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8

Uchino, Kenji, and Takaaki Ishii. "Energy Flow Analysis in Piezoelectric Energy Harvesting Systems." Ferroelectrics 400, no. 1 (September 21, 2010): 305–20. http://dx.doi.org/10.1080/00150193.2010.505852.

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9

Miara, B., and M. L. Santos. "Energy decay in piezoelectric systems." Applicable Analysis 88, no. 7 (July 2009): 947–60. http://dx.doi.org/10.1080/00036810903042166.

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10

Kozlov, S. V., A. N. Kindryashov, and E. V. Solomin. "ANALYSIS OF ENERGY STORAGE SYSTEMS EFFICIENCY." Alternative Energy and Ecology (ISJAEE), no. 2 (November 5, 2015): 29–34. http://dx.doi.org/10.15518/isjaee.2015.02.004.

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11

Diaz, P. M. "Analysis and Comparison of different types of Thermal Energy Storage Systems: A Review." Journal of Advances in Mechanical Engineering and Science 2, no. 1 (February 26, 2016): 33–46. http://dx.doi.org/10.18831/james.in/2016011004.

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12

Bagdanavicius, Audrius. "Energy and Exergy Analysis of Renewable Energy Conversion Systems." Energies 15, no. 15 (July 29, 2022): 5528. http://dx.doi.org/10.3390/en15155528.

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13

Liu, Sha, and Jiong Shen. "Improved Thermoeconomic Energy Efficiency Analysis for Integrated Energy Systems." Processes 10, no. 1 (January 10, 2022): 137. http://dx.doi.org/10.3390/pr10010137.

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The structure of an integrated energy system is complex. Thermoeconomics can play a significant role in the analysis of IES because it makes up for the deficiency of traditional thermodynamic analysis and provides new information on the cost and energy conversion efficiency. When using thermoeconomics to analyze the energy efficiency of an IES, one key issue that needs to be solved is how to transfer irreversible loss across thermal cycles, so that the mechanism of system performance degradation can be fully revealed. To this end, an irreversible cost and exergy cost integrated analysis method based on improved thermoeconomics is proposed, in which the cumulative and transmission impact of irreversible loss across thermal cycles is evaluated using linear transformation of <KP> matrix. A case study on a 389MW combined cooling, heating, and power IES demonstrates the effectiveness of the proposed approach. The proposed approach can reveal the key links impairing the overall energy efficiency and transfer of irreversible loss across thermal cycles. The approach can be extended to various types of IES to provide directions for the assessment and optimization of the system.

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14

Park, S. R., A. K. Pandey, V. V. Tyagi, and S. K. Tyagi. "Energy and exergy analysis of typical renewable energy systems." Renewable and Sustainable Energy Reviews 30 (February 2014): 105–23. http://dx.doi.org/10.1016/j.rser.2013.09.011.

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15

Ammar-Khodja, F., A. Benabdallah, J. E. Muñoz Rivera, and R. Racke. "Energy decay for Timoshenko systems of memory type." Journal of Differential Equations 194, no. 1 (October 2003): 82–115. http://dx.doi.org/10.1016/s0022-0396(03)00185-2.

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16

Mandel, Rainer. "Minimal energy solutions for repulsive nonlinear Schrödinger systems." Journal of Differential Equations 257, no. 2 (July 2014): 450–68. http://dx.doi.org/10.1016/j.jde.2014.04.006.

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17

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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18

Sulukan, Egemen, Doğuş Özkan, and Alperen Sari. "Reference Energy System Analysis of A Generic Ship." Journal of Clean Energy Technologies 6, no. 5 (September 2018): 371–76. http://dx.doi.org/10.18178/jocet.2018.6.5.492.

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19

Kusunoki, Tomoya, and Toshihiko Nakata. "A204 Energy systems analysis of CCS feasibility with endogenous technological change(Gas Turbine-5)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–19_—_2–24_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-19_.

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20

An, Tianqing. "Multiple periodic solutions of Hamiltonian systems with prescribed energy." Journal of Differential Equations 236, no. 1 (May 2007): 116–32. http://dx.doi.org/10.1016/j.jde.2007.01.013.

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21

Picard, Rainer H. "Asymptotic partition of energy for abstract uniformly propagative systems." Journal of Differential Equations 89, no. 1 (January 1991): 110–20. http://dx.doi.org/10.1016/0022-0396(91)90114-o.

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22

Evola, Gianpiero, Vincenzo Costanzo, and Luigi Marletta. "Exergy Analysis of Energy Systems in Buildings." Buildings 8, no. 12 (December 12, 2018): 180. http://dx.doi.org/10.3390/buildings8120180.

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The performance of space heating and cooling systems in buildings is usually measured by applying the first law of thermodynamics, which makes it possible to quantify the energy losses of the single components and to measure their energy conversion efficiency. However, this common approach does not properly consider that different forms of energy have different potentials to produce useful work, the latter being a function of the temperature at which energy is made available. As a result, it is not possible to properly address how the “quality” of energy is exploited or conserved in the different processes. On the contrary, the second law of thermodynamics is able to do that by introducing the concept of exergy: This is the maximum amount of work that can be produced through an ideal reversible process evolving until a full condition of equilibrium with the environment is attained. Exergy is; thus, a possible way to measure the “quality” of an energy flow or an energy source. This perspective is particularly relevant when dealing with buildings and their energy conversion systems, which usually deliver thermal energy at a temperature level that is close to the environmental temperature. This means that the users require “low-quality” energy; notwithstanding, this energy comes from the depletion of “high-quality” energy sources, such as fossil fuels and electricity. The exergy analysis helps with identifying such irrational use of the energy sources, which cannot come to light from the energy analysis. In this paper, a literature review identifies methods and metrics commonly used to carry out the exergy analysis of buildings and their energy technologies, while also underlining discrepancies and open methodological issues. Then, the review discusses the main lessons learned from selected works, providing significant advice about the rational use of energy in buildings as well as the most effective technological solutions.

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23

Lund, Henrik, Jakob Zinck Thellufsen, Poul Alberg Østergaard, Peter Sorknæs, Iva Ridjan Skov, and Brian Vad Mathiesen. "EnergyPLAN – Advanced analysis of smart energy systems." Smart Energy 1 (February 2021): 100007. http://dx.doi.org/10.1016/j.segy.2021.100007.

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24

Bolaji, B. O. "Exergetic Analysis of Solar Energy drying Systems." Natural Resources 02, no. 02 (2011): 92–97. http://dx.doi.org/10.4236/nr.2011.22012.

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25

褚, 晋生. "Comprehensive Benefit Analysis of Energy Storage Systems." Modern Management 12, no. 05 (2022): 564–70. http://dx.doi.org/10.12677/mm.2022.125075.

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26

Chen, Han, and Chris-Kriton Skylaris. "Energy decomposition analysis method for metallic systems." Physical Chemistry Chemical Physics 24, no. 3 (2022): 1702–11. http://dx.doi.org/10.1039/d1cp05112a.

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27

Fragkos, Panagiotis, and Pelopidas Siskos. "Energy Systems Analysis and Modelling towards Decarbonisation." Energies 15, no. 6 (March 8, 2022): 1971. http://dx.doi.org/10.3390/en15061971.

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28

Fradkov, A. L., and B. R. Andrievsky. "Singular Perturbation Analysis of Energy Control Systems." Journal of Vibration and Control 12, no. 4 (April 2006): 331–53. http://dx.doi.org/10.1177/1077546306061556.

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29

Tomita, Yasushi, and Junichi Murata. "Energy Saving Analysis Simulator for Utility Systems." IEEJ Transactions on Electronics, Information and Systems 134, no. 4 (2014): 599–606. http://dx.doi.org/10.1541/ieejeiss.134.599.

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30

Ržonca, Jozef, Martina Mitrušková, Jan Pozdíšek, Richard Pospíšil, Pavlína Mičová, Marie Štýbnarová, and Marie Svozilová. "Energy analysis of various grassland utilisation systems." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 53, no. 4 (2005): 117–26. http://dx.doi.org/10.11118/actaun200553040117.

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In 2003 and 2004 was carried out the energy analysis of the different types of permanent grassland utilization on the Hrubý Jeseník locality. There were estimated values of the particular entrances of additional energy. Energy entrances moved according to the pratotechnologies from 2.17 GJ. ha–1 to 22.70 GJ.ha–1. The biggest share on energy entrances had fertilizers. It was 84.93% by the nitrogen fertilisation. The most energy benefit of brutto and nettoenergy was marked by the low intensive utilisation (33.40 GJ.ha–1 NEL and 32.40 GJ.ha–1 NEV on average). The highest value of energy efficiency (13.23%) was marked by the low intensive utilization of permanent grassland. By using of higher doses of industrial fertilizers has energy efficiency decreased. From view of energy benefit and intensiveness on energy entrances it appears the most available utilisation of permanent grassland with three cuts per year (first cut on May 31st at the latest, every next after 60 days) or two cuts per year (first cut on July 15th, next cuts after 90 days).

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31

Spelman, G. M., and R. S. Langley. "Statistical energy analysis of nonlinear vibrating systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2051 (September 28, 2015): 20140403. http://dx.doi.org/10.1098/rsta.2014.0403.

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Nonlinearities in practical systems can arise in contacts between components, possibly from friction or impacts. However, it is also known that quadratic and cubic nonlinearity can occur in the stiffness of structural elements undergoing large amplitude vibration, without the need for local contacts. Nonlinearity due purely to large amplitude vibration can then result in significant energy being found in frequency bands other than those being driven by external forces. To analyse this phenomenon, a method is developed here in which the response of the structure in the frequency domain is divided into frequency bands, and the energy flow between the frequency bands is calculated. The frequency bands are assigned an energy variable to describe the mean response and the nonlinear coupling between bands is described in terms of weighted summations of the convolutions of linear modal transfer functions. This represents a nonlinear extension to an established linear theory known as statistical energy analysis (SEA). The nonlinear extension to SEA theory is presented for the case of a plate structure with quadratic and cubic nonlinearity.

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32

WAGNER, U. "Energy life cycle analysis of hydrogen systems." International Journal of Hydrogen Energy 23, no. 1 (January 1998): 1–6. http://dx.doi.org/10.1016/s0360-3199(97)00021-9.

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33

Chen, Genda, and T. T. Soong. "Energy‐Based Dynamic Analysis of Secondary Systems." Journal of Engineering Mechanics 120, no. 3 (March 1994): 514–34. http://dx.doi.org/10.1061/(asce)0733-9399(1994)120:3(514).

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34

Tsatsaronis, George. "Thermoeconomic analysis and optimization of energy systems." Progress in Energy and Combustion Science 19, no. 3 (January 1993): 227–57. http://dx.doi.org/10.1016/0360-1285(93)90016-8.

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35

Culla, Antonio, Gianluca Pepe, and Antonio Carcaterra. "Nonlinear unsteady energy analysis of structural systems." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3745–46. http://dx.doi.org/10.1121/1.4988250.

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36

Marty, Pierre, Jean-François Hétet, David Chalet, and Philippe Corrignan. "Exergy Analysis of Complex Ship Energy Systems." Entropy 18, no. 4 (April 8, 2016): 127. http://dx.doi.org/10.3390/e18040127.

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37

Henze, Gregor P. "Economic Analysis of Thermal Energy Storage Systems." Journal of Architectural Engineering 8, no. 4 (December 2002): 133–41. http://dx.doi.org/10.1061/(asce)1076-0431(2002)8:4(133).

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38

Sørensen, B. "Life-cycle analysis of renewable energy systems." Renewable Energy 5, no. 5-8 (August 1994): 1270–77. http://dx.doi.org/10.1016/0960-1481(94)90161-9.

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39

Keane, A. J., and W. G. Price. "Statistical energy analysis of strongly coupled systems." Journal of Sound and Vibration 117, no. 2 (September 1987): 363–86. http://dx.doi.org/10.1016/0022-460x(87)90545-1.

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40

Веремійчук, Юрій Андрійович, Іван Васильович Притискач, Олена Сергіївна Ярмолюк, and Віталій Павлович Опришко. "Operation analysis of integrated energy supply systems with energy hubs." ScienceRise 9, no. 2 (26) (September 29, 2016): 12. http://dx.doi.org/10.15587/2313-8416.2016.77950.

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41

Tao, Jing, Wu Xu, Yi WenHuo, and Yi LinLi. "Computational analysis of multi-energy flow in integrated energy systems." IOP Conference Series: Earth and Environmental Science 295 (July 25, 2019): 052042. http://dx.doi.org/10.1088/1755-1315/295/5/052042.

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42

Pilipenko, A. V., and S. P. Petrov. "Analysis of Energy Efficiency of Energy Conversion in Cogeneration Systems." IOP Conference Series: Earth and Environmental Science 224 (February 5, 2019): 012006. http://dx.doi.org/10.1088/1755-1315/224/1/012006.

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43

Mao, Yuyi, Guanding Yu, and Caijun Zhong. "Energy Consumption Analysis of Energy Harvesting Systems with Power Grid." IEEE Wireless Communications Letters 2, no. 6 (December 2013): 611–14. http://dx.doi.org/10.1109/wcl.2013.081913.130391.

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44

Candra, Oriza, Narukullapati Bharath Kumar, Ngakan Ketut Acwin Dwijendra, Indrajit Patra, Ali Majdi, Untung Rahardja, Mikhail Kosov, John William Grimaldo Guerrero, and Ramaswamy Sivaraman. "Energy Simulation and Parametric Analysis of Water Cooled Thermal Photovoltaic Systems: Energy and Exergy Analysis of Photovoltaic Systems." Sustainability 14, no. 22 (November 14, 2022): 15074. http://dx.doi.org/10.3390/su142215074.

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It is generally agreed that solar energy, which can be converted into usable electricity by means of solar panels, is one of the most important renewable energy sources. An energy and exergy study of these panels is the first step in developing this technology. This will provide a fair standard by which solar panel efficiency can be evaluated. In this study, the MATLAB tool was used to find the answers to the math problems that describe this system. The system’s efficiency has been calculated using the modeled data created in MATLAB. When solving equations, the initial value of the independent system parameters is fed into the computer in accordance with the algorithm of the program. A simulation and a parametric analysis of a thermal PV system with a sheet and spiral tube configuration have been completed. Simulations based on a numerical model have been run to determine where precisely the sheet and helical tubes should be placed in a PV/T system configured for cold water. Since then, the MATLAB code for the proposed model has been developed, and it agrees well with the experimental data. There is an RMSE of 0.94 for this model. The results indicate that the modeled sample achieves a thermal efficiency of between 43% and 52% and an electrical efficiency of between 11% and 11.5%.

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45

Alak, Ali Osman, and Abdulhakim Karakaya. "Analysis of standard systems with solar monitoring systems." Open Chemistry 20, no. 1 (January 1, 2022): 1557–65. http://dx.doi.org/10.1515/chem-2022-0265.

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Abstract With the increase in the need for electrical energy in the world, electricity is tried to be generated by various methods. Some of these methods cause global warming and environmental pollution to increase. Therefore, it is aimed to generate electricity using renewable energy sources instead of fossil fuels. The sun is one of these renewable energy sources. Electricity generation with solar energy is one of the methods that have become quite common in recent years. One of the most important considerations required to achieve maximum efficiency in solar power and electricity generation is to ensure that the rays are perpendicular to the panel. When this is achieved, the depreciation time of the system will be reduced and electricity generation will be carried out with high efficiency from these panels with limited service life. To achieve this, various solar tracking systems are designed. In this study, the analysis of fixed systems was performed by comparing them with single- and dual-axis solar tracking systems. Comparisons were made using a design and simulation software (PVSOL) program for photovoltaic systems. In these comparisons, the effects of single- and dual-axis solar tracking methods on depreciation time compared to fixed systems were examined.

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46

Shamim, Md Mehadi Hasan, Sidratul Montaha Silmee, and Md Mamun Sikder. "Optimization and cost-benefit analysis of a grid-connected solar photovoltaic system." AIMS Energy 10, no. 3 (2022): 434–57. http://dx.doi.org/10.3934/energy.2022022.

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<abstract> <p>Growing energy demand has exacerbated the issue of energy security and caused us to necessitate the utilization of renewable resources. The best alternative for promoting generation in Bangladesh from renewable energy is solar photovoltaic technology. Grid-connected solar photovoltaic (PV) systems are becoming increasingly popular, considering solar potential and the recent cost of PV modules. This study proposes a grid-connected solar PV system with a net metering strategy using the Hybrid Optimization of Multiple Electric Renewables model. The HOMER model is used to evaluate raw data, to create a demand cycle using data from load surveys, and to find the best cost-effective configuration. A sensitivity analysis was also conducted to assess the impact of differences in radiation from the solar (4, 4.59, 4.65, 5 kWh/m<sup>2</sup>/day), PV capacity (0 kW, 100 kW, 200 kW, 300 kW, 350 kW, 400 kW, 420 kW), and grid prices (＄0.107, ＄0.118, ＄0.14 per kWh) upon that optimum configuration. Outcomes reveal that combining 420 kW of PV with a 405-kW converter and connecting to the utility grid is the least expensive and ecologically healthy configuration of the system. The electricity generation cost is estimated to be 0.0725 dollars per kilowatt-hour, and the net present value is 1.83 million dollars with a payback period of 6.4 years based on the system's 20-year lifespan. Also, compared to the existing grid and diesel-generator system, the optimized system, with a renewable fraction of 31.10%, provides a reduction in carbon dioxide emissions of 191 tons and 1,028 tons, respectively, each year.</p> </abstract>

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47

Golisz, Ewa, Krzysztof Korpysz, Olga Rutkowska, Szymon Głowacki, and Andrzej Bryś. "Efficiency analysis of photovoltaic systems." E3S Web of Conferences 154 (2020): 05003. http://dx.doi.org/10.1051/e3sconf/202015405003.

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The goal of the study was to analyse the efficiency of two existing photovoltaic micro-installations with the power of approx. 40 kWp. The main factor differing the two installations being analysed was the arrangement of modules in relation to the sides of the world, one is south-west and the other is east-west. The total yield of electrical energy in 2017 from the south-west installation was higher and amounted to 34980 kWh. For the east-west installation the amount of energy generated was equal to 31180 kWh. 4 methods of forecasting electrical energy yield were discussed. Simple computational method proved to be the best method for both installations.

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48

Rogalev, Nikolay, Andrey Rogalev, Vladimir Kindra, Vladimir Naumov, and Igor Maksimov. "Comparative Analysis of Energy Storage Methods for Energy Systems and Complexes." Energies 15, no. 24 (December 15, 2022): 9541. http://dx.doi.org/10.3390/en15249541.

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The daily non-uniform power demand is a serious problem in power industry. In addition, recent decades show a trend for the transition to renewable power sources, but their power output depends upon weather and daily conditions. These factors determine the urgency of energy accumulation technology research and development. The presence of a wide variety of energy storage mechanisms leads to the need for their classification and comparison as well as a consideration of possible options for their application in modern power units. This paper presents a comparative analysis of energy storage methods for energy systems and complexes. Recommendations are made on the choice of storage technologies for the modern energy industry. The change in the cost of supplied energy at power plants by integrating various energy storage systems is estimated and the technologies for their implementation are considered. It is revealed that in the large-scale power production industry, the most productive accumulation methods for energy systems and complexes are the following: pumped hydroelectric energy storage systems, thermal and thermochemical accumulations, and hydrogen systems. These methods have the best technical and economic characteristics. The resulting recommendations allow for the assessment of the economic and energy effect achieved by integration of storage systems at the stage of designing new power units.

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49

Fischer, Julian, Katharina Hopf, Michael Kniely, and Alexander Mielke. "Global Existence Analysis of Energy-Reaction-Diffusion Systems." SIAM Journal on Mathematical Analysis 54, no. 1 (January 4, 2022): 220–67. http://dx.doi.org/10.1137/20m1387237.

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50

Liao, Qiangqiang, Peng Zhou, Youlang Zhang, and Jie Zhang. "A Techno-economic Analysis on Spinning Reserve Services of Battery Energy Storage Systems for Thermal." Journal of Clean Energy Technologies 6, no. 3 (May 2018): 232–35. http://dx.doi.org/10.18178/jocet.2018.6.3.466.

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