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Journal articles on the topic 'R energy'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Baek, Chulwoo. "Analysis on Efficiency of Government's R&D investment in Renewable Energy." Journal of Energy Engineering 23, no. 3 (September 30, 2014): 42–50. http://dx.doi.org/10.5855/energy.2014.23.3.042.

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2

Hong, Jung Suk, and Hyung-Gun Kim. "Analysis of R&D investment of waste reduce, recycle and energy recovery technology." Journal of Energy Engineering 21, no. 3 (September 30, 2012): 315–24. http://dx.doi.org/10.5855/energy.2012.21.3.315.

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3

Cho, Inkyung, and Kyunghee Kim. "Analysis of Renewable Energy R&D Efficiency." Journal of Energy Engineering 24, no. 4 (December 31, 2015): 97–104. http://dx.doi.org/10.5855/energy.2015.24.4.097.

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4

Aminzadeh, Fred. "Energy R&D Funding." Journal of Sustainable Energy Engineering 5, no. 1 (May 11, 2017): 1–2. http://dx.doi.org/10.7569/jsee.2017.629507.

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5

Kaplan, Daniel M., Edgar L. Black, Kevin W. Cassel, and Mary Anne Cummings. "Energy absorber R&D." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 472, no. 3 (October 2001): 632–38. http://dx.doi.org/10.1016/s0168-9002(01)01322-5.

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6

Ianniello, L. "Energy R&D Funding." Science 285, no. 5435 (September 17, 1999): 1849f—1849. http://dx.doi.org/10.1126/science.285.5435.1849f.

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7

Yousaf, Z., M. Sharif, M. Ilyas, and M. Zaeem-ul-Haq Bhatti. "Energy conditions in higher derivative f(R,□R,T) gravity." International Journal of Geometric Methods in Modern Physics 15, no. 09 (August 8, 2018): 1850146. http://dx.doi.org/10.1142/s0219887818501463.

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In this paper, we examined the viability bounds of a higher derivative [Formula: see text] theory through analyzing energy conditions (where [Formula: see text] and [Formula: see text] are the Ricci scalar, d’Alemberts operator and trace of energy–momentum tensor, respectively). We take flat Friedmann–Lemaître–Robertson–Walker spacetime coupled with ideal configurations of matter content. We consider three different realistic models of this gravity, that could be utilized to understand the stability of cosmological solutions. After constructing certain bounds mediated by energy conditions, more specifically the weak energy condition, we discuss viable zones of the under considered modified models in an environment of recent estimated numerical choices of the cosmic parameters.

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8

Liszniańska, Magdalena, Halina Ślesak, Małgorzata Kozieradzka-Kiszkurno, Ireneusz Ślesak, Marzena Popielarska-Konieczna, and Andrzej Joachimiak. "In vitro study on energy plant R. tianschanicus×R. patientia." New Biotechnology 33 (July 2016): S89. http://dx.doi.org/10.1016/j.nbt.2016.06.1029.

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9

Maluf, J. W. "Positivity of energy of R+R 2 theories of gravitation." Classical and Quantum Gravity 6, no. 8 (August 1, 1989): L151—L154. http://dx.doi.org/10.1088/0264-9381/6/8/007.

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10

Krewitt, Wolfram, Sven Teske, Sonja Simon, Thomas Pregger, Wina Graus, Eliane Blomen, Stephan Schmid, and Oliver Schäfer. "Energy [R]evolution 2008—a sustainable world energy perspective." Energy Policy 37, no. 12 (December 2009): 5764–75. http://dx.doi.org/10.1016/j.enpol.2009.08.042.

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11

Teske, Sven, Thomas Pregger, Sonja Simon, Tobias Naegler, Wina Graus, and Christine Lins. "Energy [R]evolution 2010—a sustainable world energy outlook." Energy Efficiency 4, no. 3 (November 6, 2010): 409–33. http://dx.doi.org/10.1007/s12053-010-9098-y.

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12

Sun, Zheng. "Low energy supersymmetry from R-symmetries." Physics Letters B 712, no. 4-5 (June 2012): 442–44. http://dx.doi.org/10.1016/j.physletb.2012.05.013.

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13

Herzog, Antonia V., and Daniel M. Kammen. "Energy R&D: investment challenge." Materials Today 5, no. 5 (May 2002): 28–33. http://dx.doi.org/10.1016/s1369-7021(02)05533-5.

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14

Aghamohammadi, A., and Kh Saaidi. "Holographic dark energy andf(R) gravity." Physica Scripta 83, no. 2 (January 17, 2011): 025902. http://dx.doi.org/10.1088/0031-8949/83/02/025902.

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15

ABELSON, P. H. "Progress in Energy R&D." Science 244, no. 4902 (April 21, 1989): 273. http://dx.doi.org/10.1126/science.244.4902.273.

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16

Fishelson, Gideon, and Brent Kroetch. "Energy R&D portfolio analysis." Resources and Energy 11, no. 2 (February 1990): 195–213. http://dx.doi.org/10.1016/0165-0572(90)90014-a.

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17

Will, P. "R curves for energy dissipative materials." Journal of Materials Science 29, no. 9 (May 1994): 2335–40. http://dx.doi.org/10.1007/bf00363423.

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18

Sharif, Muhammad, and M. Farasat Shamir. "Energy distribution in f (R) gravity." General Relativity and Gravitation 42, no. 6 (January 21, 2010): 1557–69. http://dx.doi.org/10.1007/s10714-009-0927-2.

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19

Popp, David, and Richard Newell. "Where does energy R&D come from? Examining crowding out from energy R&D." Energy Economics 34, no. 4 (July 2012): 980–91. http://dx.doi.org/10.1016/j.eneco.2011.07.001.

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20

Haydarov, Gennadiy Gasimovich, and Andrey Gennadyevich Haydarov. "Molecular Energy Concept of Substances Unpacking." Interactive science, no. 1 (56) (January 20, 2021): 8–12. http://dx.doi.org/10.21661/r-552957.

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This article brings together previously published evidence of the unified nature of physical processes and phenomena in terms of changes in the energy of a substance molecule. The unified physical nature of all these physical phenomena has been proven, as a single multistage process of energetic unpacking of molecules of a substance, which is logical to call the molecular-energy concept of unpacking a substance. The considered processes include the following processes. Surface rupture, characterized by the surface tension coefficient. The melting process of a substance characterized by its melting point. A boiling process characterized by the boiling point. Evaporation (and condensation) process characterized by internal energy and enthalpy as well as critical point. The conclusions of the theory are confirmed by well-known empirical dependences and by reference books of the physical properties of simple substances: internal energy, enthalpy, surface tension, melting point, boiling point and critical point.

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21

Lai, C. S. "On the energy levels for the screened Coulomb potentialV(r)=?Z/r+G?/(1+?r)." Zeitschrift f�r Physik A Atoms and Nuclei 321, no. 2 (June 1985): 201–5. http://dx.doi.org/10.1007/bf01493438.

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22

STEGOUSAGIA, A. "Ozone friendly binary blends R 32/R 134a and the ternary R 407b." Energy 29, no. 12-15 (December 2004): 2537–52. http://dx.doi.org/10.1016/j.energy.2004.03.030.

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23

Caimmi, R. "R fluids." Serbian Astronomical Journal, no. 176 (2008): 23–35. http://dx.doi.org/10.2298/saj0876023c.

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A theory of collisionless fluids is developed in a unified picture, where nonrotating (?f1 = ?f2 = ?f3 = 0) figures with some given random velocity component distributions, and rotating (?f1 = ?f2 = ?f3 ) figures with a different random velocity component distributions, make adjoint configurations to the same system. R fluids are defined as ideal, self-gravitating fluids satisfying the virial theorem assumptions, in presence of systematic rotation around each of the principal axes of inertia. To this aim, mean and rms angular velocities and mean and rms tangential velocity components are expressed, by weighting on the moment of inertia and the mass, respectively. The figure rotation is defined as the mean angular velocity, weighted on the moment of inertia, with respect to a selected axis. The generalized tensor virial equations (Caimmi and Marmo 2005) are formulated for R fluids and further attention is devoted to axisymmetric configurations where, for selected coordinate axes, a variation in figure rotation has to be counterbalanced by a variation in anisotropy excess and vice versa. A microscopical analysis of systematic and random motions is performed under a few general hypotheses, by reversing the sign of tangential or axial velocity components of an assigned fraction of particles, leaving the distribution function and other parameters unchanged (Meza 2002). The application of the reversion process to tangential velocity components is found to imply the conversion of random motion rotation kinetic energy into systematic motion rotation kinetic energy. The application of the reversion process to axial velocity components is found to imply the conversion of random motion translation kinetic energy into systematic motion translation kinetic energy, and the loss related to a change of reference frame is expressed in terms of systematic motion (imaginary) rotation kinetic energy. A number of special situations are investigated in greater detail. It is found that an R fluid always admits an adjoint configuration where figure rotation occurs around only one principal axis of inertia (R3 fluid), which implies that all the results related to R3 fluids (Caimmi 2007) may be ex- tended to R fluids. Finally, a procedure is sketched for deriving the spin parameter distribution (including imaginary rotation) from a sample of observed or simulated large-scale collisionless fluids i.e. galaxies and galaxy clusters.

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24

Eliseev, Vladimir Alexeevich. "Gradual prospects of development of railway energy." Science in figures, no. 3 (4) (September 5, 2017): 19–22. http://dx.doi.org/10.21661/r-463824.

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25

Ilyas, M., Z. Yousaf, and M. Z. Bhatti. "Bounds on higher derivative f(R,□R,T) models from energy conditions." Modern Physics Letters A 34, no. 11 (April 9, 2019): 1950082. http://dx.doi.org/10.1142/s0217732319500822.

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This paper studies the viable regions of some cosmic models in a higher derivative [Formula: see text] theory with the help of energy conditions (where [Formula: see text], [Formula: see text] and [Formula: see text] are the Ricci scalar, d’Alembert’s operator and trace of energy–momentum tensor, respectively). For this purpose, we assume a flat Friedmann–Lemaître–Robertson–Walker metric which is assumed to be filled with perfect fluid configurations. We take two distinct realistic models that might be helpful to explore stable regimes of cosmological solutions. After taking some numerical values of cosmic parameters, like crackle, snap, jerk (etc.) as well as viable constraints from energy conditions, the viable zones for the under observed [Formula: see text] models are examined.

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26

Arora, Akhilesh, B. B. Arora, B. D. Pathak, and H. L. Sachdev. "Exergy analysis of a Vapour Compression Refrigeration system with R-22, R-407C and R-410A." International Journal of Exergy 4, no. 4 (2007): 441. http://dx.doi.org/10.1504/ijex.2007.015083.

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27

Margita, Kuklová, Hniličková Helena, Hnilička František, Pivková Ivica, and Kukla Ján. "Toxic elements and energy accumulation in topsoil and plants of spruce ecosystems." Plant, Soil and Environment 63, No. 9 (September 26, 2017): 402–8. http://dx.doi.org/10.17221/364/2017-pse.

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The objective of this research was to evaluate trends and relationships of energy and toxic elements accumulation in A-horizon (the depth of 0–5 cm) of soils and in selected plants of the hemioligotrophic (Dystric Cambisols) and oligotrophic (Skeletic-Rustic Podzols) spruce ecosystems situated along transect (750–1110 m a.s.l.) in the NP Slovenský raj (Eastern Slovakia). The results showed that EU limit values of risk elements in agricultural soils were exceeded for Cu and Cd at the altitude of 750–760 m a.s.l., and in case of Cd also above 1000 m a.s.l. Relationship between energy and toxic elements in soils revealed that with an increasing amount of energy, contents of Zn and Cu significantly declined with altitude (r > –0.5 or r > –0.9). The background value of Cu was exceeded in all plants, that of Zn for Dryopteris filix-mas and Rubus idaeus. Furthermore, excessive accumulation of Cd was revealed by all plants. Cu contents in soils were dominant in determining Cu uptake for Vaccinium myrtillus (r > 0.5); Zn and Cd for V. myrtillus (r > 0.6), D. filix-mas (r > 0.5 or r > 0.8) and Fagus sylvatica (r > –0.8 or r > –0.5); Zn also for R. idaeus species (r > 0.4). The soil-plant transfer coefficients higher than 1 hinted R. idaeus on the plots at the altitude of 960 m a.s.l. (Cd 1.1, Cu 1.2, Zn 3.1), which appears as an excellent native indicator of forest ecosystem contamination.

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28

Florescu, Ana Maria Smaranda, Georgeta Bandoc, and Mircea Degeratu. "Energy Efficiency Evaluation of Wind Energy Based on Energy Reports." Advanced Materials Research 1008-1009 (August 2014): 188–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.188.

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Harnessing wind energy for power generation involves first achieving a preliminary study to understand the wind characteristics for the chosen location. In this way, the results are useful for understanding performace of an project that is connected with wind energy. The purpose of this article is to determine global estimates and different energy reports (ER). This is necessary because we do not always have a lots of meteorological datas. For the determination of these reports (ER) it used different kinds of energies calculated for a period of six years, hourly, daily and monthly data. Therfor, it was calculated the energy monthly, seasonally and annually report between monthly energy calculated with daily wind date and monthly energy calculated with instantaneous wind date (R m, Z/I); energy monthly, seasonally and annually report between monthly energy calculated with monthly wind date and monthly energy calculated with instantaneous wind date (R m, L/I); energy monthly, seasonally and annually report between monthly energy calculated with instantaneous wind date and monthly energy Betz (R m, I/B). All these reports were determined for a certain family of wind turbines used for a functional home using wind and solar energy. From the obtained results that are quite significant differences between seasonal and annual energy reports values determined with different types of energy.

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29

JACOBY, MITCH. "PLANNING FOR NUCLEAR ENERGY R&D." Chemical & Engineering News Archive 84, no. 39 (September 25, 2006): 108–11. http://dx.doi.org/10.1021/cen-v084n039.p108.

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30

HESS, GLENN. "CONGRESS WEIGHS ENERGY R&D UNIT." Chemical & Engineering News 84, no. 18 (May 2006): 26–28. http://dx.doi.org/10.1021/cen-v084n018.p026.

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31

Haghani, Zahra, Maryam Shiravand, and Shahab Shahidi. "Energy conditions in mimetic-f(R) gravity." International Journal of Modern Physics D 27, no. 05 (April 2018): 1850049. http://dx.doi.org/10.1142/s0218271818500499.

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The energy conditions of mimetic-[Formula: see text] gravity theory is analyzed. We will obtain the parameter space of the theory in some special forms of [Formula: see text] in which the self-acceleration is allowed. In this sense, the parameter space is obtained in a way that it violates the strong energy condition while satisfying the weak, null and dominant energy conditions. We will also consider the condition that the Dolgov–Kawasaki instability is avoided. This condition will be further imposed in the parameter space of the theory. We will show that the parameter space of the mimetic-[Formula: see text] gravity is larger than [Formula: see text] gravity theory.

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32

CHANU, CLAUDIA, and GIOVANNI RASTELLI. "FIXED ENERGY R-SEPARATION FOR SCHRÖDINGER EQUATION." International Journal of Geometric Methods in Modern Physics 03, no. 03 (May 2006): 489–508. http://dx.doi.org/10.1142/s021988780600120x.

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We extend the classical approach of the R-separation of the Laplace equation Δψ = 0 (as a null eigenvalue problem) to the general steady state Schrödinger equation including cases where a scalar potential V is present and the energy is a fixed constant.

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33

Karami-Fard, M., M. R. Tanhayi, and M. V. Takook. "Dark Energy in Weyl- f (R) Gravity." International Journal of Theoretical Physics 55, no. 2 (June 14, 2015): 722–29. http://dx.doi.org/10.1007/s10773-015-2709-9.

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34

Oikonomou, V. K. "An exponential F(R) dark energy model." General Relativity and Gravitation 45, no. 12 (September 17, 2013): 2467–81. http://dx.doi.org/10.1007/s10714-013-1597-7.

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35

Pilavachi, P. A. "Energy conservation R & D in industry." Heat Recovery Systems and CHP 7, no. 4 (January 1987): 329–35. http://dx.doi.org/10.1016/0890-4332(87)90094-9.

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36

AYGUN, M., Y. SAHIN, and I. BOZTOSUN. "EXAMINATION OF $V(r) = -\frac{Z}{r} + gr +\lambda r^2$ POTENTIAL IN THE PRESENCE OF MAGNETIC FIELD." International Journal of Modern Physics E 19, no. 07 (July 2010): 1349–56. http://dx.doi.org/10.1142/s0218301310015783.

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We present an alternative approach, the asymptotic iteration method, to solve the two-dimensional radial Schrödinger equation for [Formula: see text] potential in a magnetic field. The energy eigenvalues for arbitrary Larmor frequencies ranging from ωL = 0.1 to 10.0 are obtained and the results are compared with the nonmagnetic field case, ωL = 0, in order to show the effect of the presence of the weak and strong magnetic fields on the energy eigenvalues. It is shown that the method presented in this paper provides the energy eigenvalues in a systematic way not only in the weak magnetic field but also in the strong magnetic field regions with any Larmor frequencies.

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37

Tanaka, Toshikatsu. "Electric Energy Storage-R&D in Superconducting Magnetic Energy Storage." IEEJ Transactions on Power and Energy 110, no. 3 (1990): 171–76. http://dx.doi.org/10.1541/ieejpes1990.110.3_171.

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38

Dooley, JJ. "Unintended consequences: energy R&D in a deregulated energy market." Energy Policy 26, no. 7 (June 1998): 547–55. http://dx.doi.org/10.1016/s0301-4215(97)00166-3.

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39

Volkov, Alexander Anatolyevich, and Barno Rizvonovna Vakhidova. "Energy saving in construction: from EU countries experience." Interactive science, no. 7 (September 20, 2016): 33–35. http://dx.doi.org/10.21661/r-112893.

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40

Girard, Olivier, Renaud Chevalier, Mickael Habrard, Paul Sciberras, Philippe Hot, and Grégoire P. Millet. "Game Analysis and Energy Requirements of Elite Squash." Journal of Strength and Conditioning Research 21, no. 3 (2007): 909. http://dx.doi.org/10.1519/r-20306.1.

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41

Moroki, Imriani, and Alfrets Septy Wauran. "Model Statistika Prediksi Energi Surya Dengan Menggunakan Autoregresif Integrated Moving Average (ARIMA)." Jurnal MIPA 8, no. 3 (October 30, 2019): 181. http://dx.doi.org/10.35799/jmuo.8.3.2019.26193.

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Energi terbarukan adalah salah satu masalah energi paling terkenal saat ini. Ada beberapa sumber potensial energi terbarukan. Salah satu energi terbarukan yang umum dan sederhana adalah energi matahari. Masalah besar ketersediaan energi saat ini adalah terbatasnya sumber energi konvensional seperti bahan bakar. Ini semua sumber energi memiliki banyak masalah karena memiliki jumlah energi yang terbatas. Penting untuk membuat model dan analisis berdasarkan ketersediaan sumber energi. Energi matahari adalah energi terbarukan yang paling disukai di negara-negara khatulistiwa saat ini. Tergantung pada produksi energi surya di daerah tertentu untuk memiliki desain dan analisis energi matahari yang baik. Untuk memiliki analisis yang baik tentang itu, dalam makalah ini kami membuat model prediksi energi surya berdasarkan data iradiasi matahari. Kami membuat model energi surya dan angin dengan menggunakan Metode Autoregresif Integrated Moving Average (ARIMA). Model ini diimplementasikan oleh R Studio yang kuat dari statistik. Sebagai hasil akhir, kami mendapatkan model statistik solar yang dibandingkan dengan data aktualRenewable energy is one of the most fomous issues of energy today. There are some renewable energy potential sources. One of the common n simple renewable energy is solar energy. The big problem of the availability of energy today is the limeted sources of conventional enery like fuel. This all energy sources have a lot of problem because it has a limited number of energy. It is important to make a model and analysis based on the availability of the energy sources. Solar energy is the most prefered renewable energy in equator countries today. It depends on the production of solar energy in certain area to have a good design and analysis of the solar energy. To have a good analysis of it, in this paper we make a prediction model of solar energy based on the data of solar irradiation. We make the solar and wind enery model by using Autoregresif Integrated Moving Average (ARIMA) Method. This model is implemented by R Studio that is a powerfull of statistical. As the final result, we got the statistical model of solar comparing with the actual data

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42

HALL, LAWRENCE J. "ALTERNATIVE LOW ENERGY SUPERSYMMETRY." Modern Physics Letters A 05, no. 07 (March 20, 1990): 467–72. http://dx.doi.org/10.1142/s0217732390000536.

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Models of low energy supersymmetry require some additional symmetry beyond the known gauge symmetries. The usual preference for R parity, which leads to the standard low energy supersymmetry model, has no clear theoretical motivation. The alternative models with minimal field content are reviewed. In one case R parity is spontaneously broken by a large sneutrino vev. In three other cases R parity is replaced by an alternative symmetry; baryon number, lepton number or ZN.

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43

Kafafi, Z. H. "Oriented mesostructure for energy conversion." Science 348, no. 6235 (May 7, 2015): 644–46. http://dx.doi.org/10.1126/science.348.6235.644-r.

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44

Chen, Mu-Chun, Michael Ratz, and Volodymyr Takhistov. "R parity violation from discrete R symmetries." Nuclear Physics B 891 (February 2015): 322–45. http://dx.doi.org/10.1016/j.nuclphysb.2014.12.011.

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45

Waterlander, Wilma E., Wendy E. de Haas, Inge van Amstel, Albertine J. Schuit, Jos WR Twisk, Marjolein Visser, Jacob C. Seidell, and Ingrid HM Steenhuis. "Energy density, energy costs and income – how are they related?" Public Health Nutrition 13, no. 10 (January 11, 2010): 1599–608. http://dx.doi.org/10.1017/s1368980009992989.

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AbstractObjectiveTo examine the association between energy density and energy costs in single food items and composed diets, and to explore differences in energy density and energy cost between income levels.DesignA cross-sectional study using data from two Dutch cohort studies and recent national food prices. Food prices were retrieved from two market leader supermarkets. Data on dietary intake were measured using a computerized face-to-face interview (cohort 1) and 24 h recalls (cohort 2).SettingThe Netherlands.SubjectsA sample of 373 young adults from the Amsterdam Growth and Health Longitudinal Study (AGHLS, measured in 2000) and a sample of 200 community-dwelling elderly from the Longitudinal Ageing Study Amsterdam (LASA, measured in 2007).ResultsWe found significant inverse associations between energy density and energy costs in single food items (r = −0·436, P < 0·01) and composed diets (AGHLS men r = −0·505, women r = −0·413, P < 0·001; LASA men r = −0·559, women r = −0·562, P < 0·001). Furthermore, we found that people stratified into higher energy density quartiles consumed significantly more energy per day, less fruits and vegetables, and had significantly lower diet costs. Explorative analyses on income did not reveal significant differences regarding energy density, costs, or fruit and vegetable intake.ConclusionsIn the Netherlands also, energy density was inversely related with energy costs, implying that healthier diets cost more. However, we could not find differences in energy density or costs between income levels. Future research, using precise food expenditures, is of main importance in studying the economics of obesity and in the aim of making the healthier choice easier.

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46

Chepyzhov, Vladimir, and Sergey Zelik. "Infinite Energy Solutions for Dissipative Euler Equations in $${\mathbb{R}^2}$$ R 2." Journal of Mathematical Fluid Mechanics 17, no. 3 (June 29, 2015): 513–32. http://dx.doi.org/10.1007/s00021-015-0213-x.

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47

Bloomer, Richard J. "Energy Cost of Moderate-Duration Resistance and Aerobic Exercise." Journal of Strength and Conditioning Research 19, no. 4 (2005): 878. http://dx.doi.org/10.1519/r-16534.1.

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48

Sims, Geoffrey P. "Hydroelectric energy." Energy Policy 19, no. 8 (October 1991): 776–86. http://dx.doi.org/10.1016/0301-4215(91)90047-r.

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49

Sørensen, Bent. "Renewable energy." Energy Policy 19, no. 4 (May 1991): 386–91. http://dx.doi.org/10.1016/0301-4215(91)90061-r.

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50

Jones, P., J. E. Inglesfield, J. J. M. Michiels, C. J. Noble, V. M. Burke, and P. G. Burke. "R-matrix approach to low-energy electron energy-loss spectroscopy from NiO." Physical Review B 62, no. 20 (November 15, 2000): 13508–21. http://dx.doi.org/10.1103/physrevb.62.13508.

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