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Journal articles on the topic 'Values and energy'

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Published: 10 December 2022
Last updated: 29 January 2023

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1

Gilland, Bernard, and David Pimentel. "Energy Values." BioScience 45, no. 2 (February 1995): 71. http://dx.doi.org/10.2307/1312604.

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2

D’Alpaos, Chiara, and Michele Moretto. "Do Smart grids innovation affect real estate market values?" AIMS Energy 7, no. 2 (2019): 141–50. http://dx.doi.org/10.3934/energy.2019.2.141.

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3

Walker, Chad, Jamie Baxter, Sarah Mason, Isaac Luginaah, and Danielle Ouellette. "Wind energy development and perceived real estate values in Ontario, Canada." AIMS Energy 2, no. 4 (2014): 424–42. http://dx.doi.org/10.3934/energy.2014.4.424.

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4

HEYLIN, MICHAEL. "Energy and national values." Chemical & Engineering News 69, no. 24 (June 17, 1991): 3. http://dx.doi.org/10.1021/cen-v069n024.p003.

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5

Chen, Y. Z., V. Ravindran, X. Li, and W. L. Bryden. "Wheat energy values: Bird variation." Journal of Nutrition & Intermediary Metabolism 1 (December 2014): 42. http://dx.doi.org/10.1016/j.jnim.2014.10.153.

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6

Weiss, W. P. "Predicting Energy Values of Feeds." Journal of Dairy Science 76, no. 6 (June 1993): 1802–11. http://dx.doi.org/10.3168/jds.s0022-0302(93)77512-8.

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7

Sakudo, N., and K. Hayashi. "Exact energy values of ‘‘low‐energy ion beams’’." Review of Scientific Instruments 67, no. 3 (March 1996): 1218–20. http://dx.doi.org/10.1063/1.1146737.

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8

SAWAI, Toru, Ichiro KATAYAMA, Tamio IDA, and Takeshi KAJIMOTO. "ICOPE-15-1024 Estimation of Energy Density and Energy Yield of Torrefied Biomass with Colorimetric Values." Proceedings of the International Conference on Power Engineering (ICOPE) 2015.12 (2015): _ICOPE—15——_ICOPE—15—. http://dx.doi.org/10.1299/jsmeicope.2015.12._icope-15-_14.

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9

Anbazhagan, P., A. Kumar, S. G. Ingale, S. K. Jha, and K. R. Lenin. "Shear modulus from SPT N-values with different energy values." Soil Dynamics and Earthquake Engineering 150 (November 2021): 106925. http://dx.doi.org/10.1016/j.soildyn.2021.106925.

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10

Jin, Kyoung-Min, Gyu-Hong Choi, Song-Kyu Lee, Tae-Yong Chung, Dong-Hoon Shin, Seung-Sik Hwang, and Jeong-Seok Oh. "An Experimental Study on Detection of Gas Leakage Position by Monitoring Pressure Values at City Gas Pipeline." Journal of Energy Engineering 20, no. 4 (December 31, 2011): 292–97. http://dx.doi.org/10.5855/energy.2011.20.4.292.

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11

OTSUKA, Ayami, Yujiro HIRANO, and Daisuke NARUMI. "PEOPLE'S VALUES AND ENERGY COGNITION BEHIND ENERGY-SAVING BEHAVIOR." Journal of Environmental Engineering (Transactions of AIJ) 82, no. 739 (2017): 811–20. http://dx.doi.org/10.3130/aije.82.811.

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12

Moe, Paul W. "Future Directions for Energy Requirements and Food Energy Values." Journal of Nutrition 124, suppl_9 (September 1, 1994): 1738S—1742S. http://dx.doi.org/10.1093/jn/124.suppl_9.1738s.

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13

Pligt, Joop Van Der, and J. Richard Elser. "Nuclear Energy: Beliefs, Values and Acceptability." Interdisciplinary Science Reviews 10, no. 2 (January 1985): 147–50. http://dx.doi.org/10.1179/isr.1985.10.2.147.

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14

McLachlan-Karr, John. "The ecosystem, energy and human values." Ecological Modelling 178, no. 1-2 (October 2004): 267–74. http://dx.doi.org/10.1016/j.ecolmodel.2003.12.025.

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15

Demski, Christina, Catherine Butler, Karen A. Parkhill, Alexa Spence, and Nick F. Pidgeon. "Public values for energy system change." Global Environmental Change 34 (September 2015): 59–69. http://dx.doi.org/10.1016/j.gloenvcha.2015.06.014.

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16

Fokin, B. S. "Optimum values of energy converter efficiency." Journal of Engineering Physics and Thermophysics 82, no. 3 (May 2009): 598–603. http://dx.doi.org/10.1007/s10891-009-0217-6.

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17

Weiss, William P., and Alexander W. Tebbe. "Estimating digestible energy values of feeds and diets and integrating those values into net energy systems." Translational Animal Science 3, no. 3 (November 5, 2018): 953–61. http://dx.doi.org/10.1093/tas/txy119.

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Abstract The California Net Energy System (CNES) used a combination of measured and tabular metabolizable energy (ME) values and changes in body composition gain to determine net energy requirements for maintenance and gain and their corresponding dietary concentrations. The accuracy of the CNES depends on the accuracy of the feed ME values. Feed or diet ME values can be measured directly but are expensive and require specialized facilities; therefore, most ME values are estimated from digestible energy (DE) values, which are often estimated from the concentration of total digestible nutrients (TDN). Both DE and TDN values are often from tables and not based on actual nutrient analysis. The use of tabular values eliminates important within-feed variation in composition and digestibility. Furthermore, the use of TDN to estimate DE does not account for important variation in the gross energy value of feeds. A better approach would be to estimate DE concentration directly from nutrient composition or in vitro (or in situ) digestibility measurements. This approach incorporates within-feed variation into the energy system and eliminates the issues of using TDN. A widely used summative equation based on the commonly measured feed fractions (ash, crude protein, neutral detergent fiber, and fat) has been shown to accurately estimate DE concentrations of many diets for cattle; however, deficiencies in that equation have been identified and include an overestimation of DE provided by fat and an exaggerated negative effect of intake on digestibility. Replacing the nonfiber carbohydrate term (which included everything that was not measured) in the equation with measured starch concentration and residual organic matter (i.e., nonfiber carbohydrate minus starch) should improve accuracy by accounting for more variation in starch digestibility. More accurate estimates of DE will improve the accuracy of ME values, which will ultimately lead to more accurate NE values.
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18

ВОЗНИЙ, Олександр Михайлович, and Наталія Ігорівна БОРИСОВА. "VALUES-ORIENTED PROJECT MANAGEMENT OF RENEWABLE ENERGY." Bulletin of NTU "KhPI". Series: Strategic Management, Portfolio, Program and Project Management 7, no. 2(1224) (March 14, 2017): 72–78. http://dx.doi.org/10.20998/2413-3000.2017.1224.12.

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19

Niet, Irene A., Romy Dekker, and Rinie van Est. "Seeking Public Values of Digital Energy Platforms." Science, Technology, & Human Values 47, no. 3 (November 18, 2021): 380–403. http://dx.doi.org/10.1177/01622439211054430.

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Digital energy platforms play a central role in the transition toward a more sustainable energy system. This research explores the (potential) effect of digital energy platforms on public values. We developed and tested a novel public value framework, combining values already embedded in energy and digitalization regulations and emerging values that have become more relevant in recent debates. We analyzed value changes and potential value tensions. We found that sustainability is prioritized, security is broadened to include cybersecurity, and values relevant for digital technologies, such as control over technology, have also become relevant for the energy system. This has resulted in three value tensions: preserving a well-functioning energy system, self-determination, and ensuring a level playing field and public control. A sustainable energy system requires governments to address these value changes, value tensions, and connected societal and political challenges related to the implementation of digital energy platforms.
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20

VOGT, R. "Generalized Energy-Dependent Q Values for Fission." Journal of the Korean Physical Society 59, no. 2(3) (August 12, 2011): 899–902. http://dx.doi.org/10.3938/jkps.59.899.

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21

Souza, C. de, J. Broch, C. Souza, L. Wachholz, T. L. Kohler, C. Eyng, and R. V. Nunes. "Energy values of crude glycerin for broilers." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 72, no. 6 (December 2020): 2348–54. http://dx.doi.org/10.1590/1678-4162-11751.

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ABSTRACT The energetic values of crude glycerin (CG) were determined for broilers at different ages using the method proposed by Matterson and by polynomial regressions. Two trials were performed with broilers from 11 to 21 and from 31 to 41 days of age. The birds were distributed in a completely randomized experimental design with a reference ration (RR), without CG, and three ration tests with replacement of 5%, 10%, and 15% of RR by CG. The metabolizable energy values were calculated by the Matterson method, and the apparent metabolizable energy (AME) values were used in polynomial regression analysis. The mean values of AME, apparent corrected for nitrogen balance (AMEn), metabolizable coefficient of gross energy (CAMEB), and corrected for nitrogen balance (CAMEBn) of CG, for the phase from 11 to 21 days by the Matterson method were 10.08 MJ kg-1, 10.04 MJ kg-1, 67.06%, and 66.74%, respectively. The inclusion of CG presented an increasing linear effect for CAMEB and CAMEBn in this period. From 31 to 41 days, these values were 10.38 MJ kg-1, 10.27 MJ kg-1, 69.02%, and 62.24%, respectively. The predicted AMEn value through the polynomial regression equations was 10.49 MJ kg-1 and 10.18 MJ kg-1, respectively. According to the equations proposed by Matterson, the crude glycerin EMAn values for broilers from 11 to 21 and 31 to 41 days of age were 10.04 MJ kg-1 and 10.26 MJ kg-1, respectively. According to Adeola's method the AMEn values were 10.49 and 10.20 MJ kg-1 for each phase.
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22

Conway, Erik M., and Frank N. Laird. "Solar Energy, Technology Policy, and Institutional Values." Environmental History 8, no. 2 (April 2003): 338. http://dx.doi.org/10.2307/3985732.

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23

Yalçin, S., and A. G. Onol. "True metabolisable energy values of some feedingstuffs." British Poultry Science 35, no. 1 (March 1994): 119–22. http://dx.doi.org/10.1080/00071669408417676.

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24

Korzun, Edwin A. "Recycling Energy Values of Municipal Solid Waste." Journal of Energy Engineering 117, no. 3 (December 1991): 133–50. http://dx.doi.org/10.1061/(asce)0733-9402(1991)117:3(133).

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25

Neuman, Keith. "Personal Values and Commitment to Energy Conservation." Environment and Behavior 18, no. 1 (January 1986): 53–74. http://dx.doi.org/10.1177/0013916586181003.

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26

Yao, K. "Maximum energy window with constrained spectral values." Signal Processing 11, no. 2 (September 1986): 157–68. http://dx.doi.org/10.1016/0165-1684(86)90034-4.

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27

Adkins, Gregory S. "Dirac–Coulomb energy levels and expectation values." American Journal of Physics 76, no. 6 (June 2008): 579–84. http://dx.doi.org/10.1119/1.2830535.

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28

Chapman, Jamie. "The roles and values of wind energy." Wind Energy 1, no. 1 (September 1998): 1. http://dx.doi.org/10.1002/(sici)1099-1824(199809)1:1<1::aid-we13>3.0.co;2-6.

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29

Jayakumar, R. "Values of critical energy for superconducting composites." Cryogenics 29, no. 2 (February 1989): 139–45. http://dx.doi.org/10.1016/0011-2275(89)90041-6.

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30

Pablo-Romero, María P., Antonio Sánchez-Braza, and Manuel González-Pablo Romero. "Renewable energy in Latin America." AIMS Energy 10, no. 4 (2022): 695–717. http://dx.doi.org/10.3934/energy.2022033.

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<abstract> <p>Since the signing of the Paris Agreement in 2015, signatory countries have been adopting commitments to promote the use of renewable energy. Among the signatory countries, those of Latin America have stood out for the high percentage of renewables in their energy mix and their commitment to continue advancing towards energy decarbonization. This commitment implies the need to adequately recognize the starting point of renewable energy consumption in the region, and its relationship with the population and regional production. This study analyzes the evolution of renewable energy consumption in the Latin American region and its member countries, in relation to the Worldwide position, from 1993 to 2018. For this, the direct consumption of renewable energies and the energy used to generate electricity and heat, have been considered. These values are analyzed in Worldwide per capita and per unit production terms. The results show that the Latin American region has a higher percentage of renewables in its energy mix than Worldwide, with this percentage being even higher when considering only the consumption of renewable energies of indirect origin. Brazil stands out for the share of its renewable consumption. In terms of per capita renewable energy consumption, Latin America presents higher values than those achieved Worldwide, with a growing trend throughout the studied period. The renewable energy intensity is also higher in Latin America, with a decreasing trend, as experienced Worldwide.</p> </abstract>
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31

DALE, N. M., and H. L. FULLER. "Repeatability of True Metabolizable Energy Versus Nitrogen Corrected True Metabolizable Energy Values." Poultry Science 65, no. 2 (February 1986): 352–54. http://dx.doi.org/10.3382/ps.0650352.

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32

Ridla, M., E. B. Laconi, Nahrowi, and A. Jayanegara. "Modelling feed energy and protein values for ruminants." IOP Conference Series: Earth and Environmental Science 637 (January 9, 2021): 012011. http://dx.doi.org/10.1088/1755-1315/637/1/012011.

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33

Chen, Sijie, Jian Ping, Zheng Yan, Jinjin Li, and Zhen Huang. "Blockchain in energy systems: values, opportunities, and limitations." Frontiers in Energy 16, no. 1 (February 2022): 9–18. http://dx.doi.org/10.1007/s11708-022-0818-8.

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34

HIJIKURO, Sadanobu, and Masaaki TAKEMASA. "Metabolizable energy values of low-glucosinolate rapeseed meals." Japanese poultry science 22, no. 1 (1985): 33–37. http://dx.doi.org/10.2141/jpsa.22.33.

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35

Williems, G., and E. Waibel. "W values for low-energy protons in air." Physics in Medicine and Biology 37, no. 12 (December 1, 1992): 2319–22. http://dx.doi.org/10.1088/0031-9155/37/12/014.

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36

Correlje, Aad F., and John P. M. Groenewegen. "Public values in the energy sector: economic perspectives." International Journal of Public Policy 4, no. 5 (2009): 395. http://dx.doi.org/10.1504/ijpp.2009.025079.

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37

ZHAO, ZHENGGUO. "R-VALUES FROM LOW ENERGY e+e-ANNIHILATION." International Journal of Modern Physics A 15, no. 24 (September 30, 2000): 3739–69. http://dx.doi.org/10.1142/s0217751x00001889.

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The QED running coupling constant α(s) and the anomalous magnetic moment of muon aμare two fundamental quantities for the precision test of the Standard Model (SM). The current uncertainties on α(s) and aμare dominated by the contribution from the R-values measured about 20 years ago with an averaged uncertainty of 15% in the energy region below 5 GeV. This review article summarizes the recent measurements of R-values in low energy e+e-annihilation. The new experiments aimed at reducing the uncertainties in R-values and performed with the upgraded Beijing Spectrometer (BESII) at Beijing Electron Positron Collider (BEPC) in Beijing and with Cryogenic Magnetic Detector, CMD-2 and SND (Spherical Neutral Detector) at VEEP-2M in Novosibirsk are reviewed and discussed.
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38

ZHAO, ZHENGGUO. "R VALUES IN LOW ENERGY e+e- ANNIHILATION." International Journal of Modern Physics A 15, supp01a (July 2000): 368–85. http://dx.doi.org/10.1142/s0217751x00005231.

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39

Serchuk, Adam. "Solar Energy, Technology Policy, and Institutional Values (review)." Technology and Culture 43, no. 1 (2002): 184–86. http://dx.doi.org/10.1353/tech.2002.0041.

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40

LIVESEY, G. "Energy from food — old values and new perspectives." Nutrition Bulletin 13, no. 1 (January 1988): 9–28. http://dx.doi.org/10.1111/j.1467-3010.1988.tb00265.x.

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41

Jemal, Ahmed, Marwa Hachicha, Riadh BEN Halima, Ahmed HADJ Kacem, Khalil Drira, and Mohamed Jmaiel. "Energy Saving in WSN Using Monitoring Values Prediction." Procedia Computer Science 32 (2014): 1154–59. http://dx.doi.org/10.1016/j.procs.2014.05.547.

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42

SHAO, XUANCHENG. "Large values of the additive energy in and." Mathematical Proceedings of the Cambridge Philosophical Society 156, no. 2 (January 9, 2014): 327–41. http://dx.doi.org/10.1017/s0305004113000741.

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AbstractCombining Freiman's theorem with Balog–Szemerédi–Gowers theorem one can show that if an additive set has large additive energy, then a large piece of the set is contained in a generalized arithmetic progression of small rank and size. In this paper, we prove the above statement with the optimal bound for the rank of the progression. The proof strategy involves studying upper bounds for additive energy of subsets of ${\mathbb{R}^d$ and ${\mathbb{Z}^d$.
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43

Livesey, G., and M. Elia. "Food energy values of artificial feeds for man." Clinical Nutrition 4, no. 2 (May 1985): 99–111. http://dx.doi.org/10.1016/0261-5614(85)90051-2.

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44

Douillard, J. M., T. Zoungrana, and S. Partyka. "Surface Gibbs free energy of minerals: some values." Journal of Petroleum Science and Engineering 14, no. 1-2 (December 1995): 51–57. http://dx.doi.org/10.1016/0920-4105(95)00018-6.

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45

Monsalve, Juan, Juan Rada, and Yongtang Shi. "Extremal values of energy over oriented bicyclic graphs." Applied Mathematics and Computation 342 (February 2019): 26–34. http://dx.doi.org/10.1016/j.amc.2018.09.018.

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46

SEKINE, Junjiro, Ziro MORITA, Ryozo OURA, and Yasushi ASAHIDA. "Energy Values of Orchardgrass Hay for Growing Calves." Nihon Chikusan Gakkaiho 60, no. 3 (1989): 286–91. http://dx.doi.org/10.2508/chikusan.60.286.

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47

Quevedo, M., DJ Millward, Y. Koutedakis, D. Halliday, and PJ Pacy. "Energy Expenditure in Athletes - Comparison with Predicted Values." Clinical Science 80, s24 (March 1, 1991): 37P. http://dx.doi.org/10.1042/cs080037p.

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48

János, Jóvér, Antal Károly, Zsembeli József, Blaskó Lajos, and Tamás János. "Assessment of gross calorific value of crop and bio-energy residues." Research in Agricultural Engineering 64, No. 3 (October 1, 2018): 121–27. http://dx.doi.org/10.17221/13/2017-rae.

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This study assessed the gross calorific values (GCV) of crop and bio-energy residues. In addition, it assessed the calorific values of sweet sorghum to clarify its potential as energy crop in the region. Furthermore, it statistically analysed the ash remaining after burning three bio-energy residues, bagasse, oil cakes and fermented sludge of biogas production, to identify their potential for agricultural use. Finally, the study calculated alkali content based on nutrient content and GCVs. Significant differences were found among the GCVs of the investigated materials. Among the crop residues, the least significant difference (LSD) (P ≤ 0.05) of the calorimetric values was 76.26 kJ/kg, and among the by-products of bio-energy production, it was 20.80 kJ/kg. Significant differences were also found in nutrient content. In the case of the alkali content of bio-energy residues, the LSD was 0.04 kJ·kg<sup>–1</sup>. For the bagasse and compost, the study recommends some technical operations to avoid slagging.
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49

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

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<abstract> <p>Geothermal energy is one of the strategies employed by the Indonesian government to meet rising electricity demand. Developing geothermal energy is often characterized by uncertainties and requires sequential decision-making which is divided into four development phases: 1) identification, 2) exploration, 3) exploitation, and 4) engineering, procurement, construction, and commissioning (EPPC) before it can be commercialized. Traditional valuation techniques often produce a negative net present value (NPV), suggesting decision to reject the project's investment plan. This paper investigates the economic viability of a geothermal power generation project using both NPV and real options analysis (ROA). Costs and uncertainties associated with the various development phases as well as the investment structure of geothermal projects are studied. We develop a framework for assessing the impact of four uncertainties using a binomial lattice: capacity factor, electricity price, make-up well-drilling costs, and operation and maintenance (O&amp;M) costs. Secondary data from an Indonesian context geothermal power plant was used. Positive option values were found for the lattice approach compared to negative values found for the common NPV calculation. The result of this study showed the successful outcome of the exploration stage is very critical to determining the continuation of the project. The framework supports decision-makers in evaluating the impact of geothermal power generation projects in the face of uncertainty by providing a rigorous analysis. The movement of the underlying asset's value in the whole project's lifetime will assist the management in deciding on whether to exit or continue.</p> </abstract>
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50

Kim, Eunmi, Jinho Choi, and Hyejin Kim. "Mabolizable Energy Differences between Values Calculated Using Energy Conversion Factors and Actual Values Determined by Metabolic Study of Korean Starch Foods." Journal of Food Science 79, no. 4 (March 12, 2014): H713—H718. http://dx.doi.org/10.1111/1750-3841.12403.

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