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Journal articles on the topic 'PV'

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Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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1

Muinzer, Thomas L. "‘To PV or not to PV’." Environmental Law Review 17, no. 2 (June 2015): 128–35. http://dx.doi.org/10.1177/1461452915576870.

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2

Morrison, Siobhan, Lisa Barraclough, Kate Haslett, Karen Johnson, and Livsey Jac. "To PV or not to PV." Clinical Oncology 31 (October 2019): e11. http://dx.doi.org/10.1016/j.clon.2019.09.015.

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3

Go, Gil-Yong, Kwang-Woo Park, Geon-Min Kang, and Chang-Sun Kim. "PV Optimizer MPPT Control Algorithm Design for PV Mismatch Compensation." TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P 70P, no. 1 (March 31, 2021): 17–21. http://dx.doi.org/10.5370/kieep.2021.70.1.017.

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4

Kim, Sun-Pil, Se-Min Kim, and Sung-Jun Park. "The PV-recorder Development for Detecting The Old PV-cell." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 31, no. 11 (November 30, 2017): 104–13. http://dx.doi.org/10.5207/jieie.2017.31.11.104.

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5

Yuan, Quanhong. "PV for PV to accelerate carbon neutrality." E3S Web of Conferences 260 (2021): 01021. http://dx.doi.org/10.1051/e3sconf/202126001021.

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The cost of carbon neutrality is too expensive. How to find a cheaper and more feasible approach to realize it? This paper studies the innovative development mode of PV for PV-Max speed. Through the three-stage “PV for PV” development plan, After 2023, China's annual capacity can reach 400 GW, with a total investment of about $96 billion. After 2032, China's PV installation can reach 4000 GW, annual power generation is 5200TWh, and annual CO2 emission reduction is 4.4 Gt. After 2033, it will be an export period, with an annual export revenue of $54 billion. By 2046, it will be able to export a total of 5300 GW, with an annual power generation of 6890 TWh. It will reduce the CO2 emissions of 10.2 Gt for the world every year. If the PV plant is built in the three northern regions of China, combined with desertification control, the western desert will become a "green valley".
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6

Laird, Joyce. "Future PV." Renewable Energy Focus 12, no. 1 (January 2011): 14–15. http://dx.doi.org/10.1016/s1755-0084(11)70012-6.

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7

Jaeger Waldau, Arnulf. "PV status." Refocus 6, no. 3 (May 2005): 20–23. http://dx.doi.org/10.1016/s1471-0846(05)70394-2.

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8

Perrottet, Delphine, Christophe Boillat, Simone Amorosi, and Bernold Richerzhagen. "PV processing." Refocus 6, no. 3 (May 2005): 36–37. http://dx.doi.org/10.1016/s1471-0846(05)70398-x.

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9

Krebs, Frederik C. "Alternative PV." Refocus 6, no. 3 (May 2005): 38–39. http://dx.doi.org/10.1016/s1471-0846(05)70399-1.

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10

Maycock, Paul D. "PV review." Refocus 6, no. 5 (September 2005): 18–22. http://dx.doi.org/10.1016/s1471-0846(05)70452-2.

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11

Roman, E., R. Alonso, P. Ibanez, S. Elorduizapatarietxe, and D. Goitia. "Intelligent PV Module for Grid-Connected PV Systems." IEEE Transactions on Industrial Electronics 53, no. 4 (June 2006): 1066–73. http://dx.doi.org/10.1109/tie.2006.878327.

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12

Almeida, Marcelo Pinho, Oscar Perpiñán, and Luis Narvarte. "PV power forecast using a nonparametric PV model." Solar Energy 115 (May 2015): 354–68. http://dx.doi.org/10.1016/j.solener.2015.03.006.

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13

Nishikawa, Shogo. "Organization of PV System with Dispersed PV Array." IEEJ Transactions on Power and Energy 119, no. 12 (1999): 1339–45. http://dx.doi.org/10.1541/ieejpes1990.119.12_1339.

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14

Gomez, Juan C., Daniel Tourn, S. Nesci, and G. R. Zamarillo. "PV cells protection by using class PV fuses." IEEE Latin America Transactions 11, no. 1 (February 2013): 531–37. http://dx.doi.org/10.1109/tla.2013.6502857.

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15

Richman, Jack E., Roberta O. Day, and Robert R. Holmes. "THE FIRST Pv-Pv COMPOUND: BIS(CYCLENPHOSPHORANE), (C8H16N4P)2." Phosphorus, Sulfur, and Silicon and the Related Elements 98, no. 1-4 (January 1995): 267–74. http://dx.doi.org/10.1080/10426509508036954.

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16

Liao, Chien-Yao, Wen-Shiun Lin, Yaow-Ming Chen, and Cheng-Yen Chou. "A PV Micro-inverter With PV Current Decoupling Strategy." IEEE Transactions on Power Electronics 32, no. 8 (August 2017): 6544–57. http://dx.doi.org/10.1109/tpel.2016.2616371.

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17

Nurtiyanto, Woro Agus, Nurkahfi Irwansyah, and Astriyanto Agung Nugroho. "OPTIMASI KETINGGIAN FLOATING PV PADA INSTALASI PV 340 WP." Transmisi: Jurnal Ilmiah Teknik Elektro 25, no. 1 (March 28, 2023): 10–16. http://dx.doi.org/10.14710/transmisi.25.1.10-16.

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Tren global produksi energi listrik dianalisis dengan perkiraan hingga 2030. Status saat ini dari Floating PV, dengan mempertimbangkan data hingga 2021. Tingkat pertumbuhan untuk energi terbarukan utama sektor dianalisis dan atas dasar ini perkiraan eksponensial naik hingga tahun 2030. Sistem fotovoltaik terapung adalah konsep modern untuk pembangkit energi bersih, yang menggabungkan: sistem PV yang ada dengan struktur terapung. Kombinasi seperti itu memungkinkan tercapainya efisiensi modul PV yang lebih tinggi dan pengelolaan sumber daya lahan terbaik yang memastikan pemenuhan kebutuhan energi secara lebih efektif. Adapun metode dalam pengumpulan hasil percobaan ini dengan sistem kuantitatif harian yang dikombinasikan dengan tegangan, arus dan daya. Dalam makalah ini, penyelidikan kuantitatif sistem fotovoltaik terapung skala kecil adalah disajikan dengan adanya hasil penggunaan pv terapung dengan jarak antara air dengan pv sebesar 14 cm mendapatkan hasil yang lebih baik dari segi tegangan dengan perbandingan 0.17 volt dc, arus yang dihasilkan dengan hasil perbandingan 0.55 ampere serta daya yang dihasilkan lebih baik dengan beda hasil sebesar 10.8 watt. Serta penelitian ini dirancang dan dibangun untuk tujuan demonstrasi sebagai upaya untuk menganalisis konsep mendekati dengan aslinya.
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18

Nemtarev, Andrey V., Igor O. Nasibullin, Vladimir F. Mironov, and Vladimir K. Cherkasov. "Synthesis of (PIII, PIII)-, (PIII, PV)-, (PIII, PIV)-, (PIV, PV)-, and (PV, PV)-Diphosphorus-Containing Compounds Based on 1,2,3- and 1,2,4-Trihydroxybenzenes." Phosphorus, Sulfur, and Silicon and the Related Elements 190, no. 5-6 (June 3, 2015): 772–77. http://dx.doi.org/10.1080/10426507.2014.995297.

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19

Lee, Jeong-Jun, Seon-Heui Kang, Kwang-Woo Park, Geon-Min Kang, Soon-Youl So, and Chang-Sun Kim. "PV Optimizer Circuit Design Based on N-Buck Converter for PV Mismatch Compensation." TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P 70, no. 2 (June 30, 2021): 58–62. http://dx.doi.org/10.5370/kieep.2021.70.2.058.

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20

Xie, Yongkun, Guoxiong Wu, Yimin Liu, and Jianping Huang. "Eurasian Cooling Linked with Arctic Warming: Insights from PV Dynamics." Journal of Climate 33, no. 7 (April 1, 2020): 2627–44. http://dx.doi.org/10.1175/jcli-d-19-0073.1.

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AbstractThe three-dimensional connections between Eurasian cooling and Arctic warming since 1979 were investigated using potential vorticity (PV) dynamics. We found that Eurasian cooling can be regulated by Arctic warming through PV adaptation and PV advection. Here, PV adaptation refers to the adaptation of PV to forcing and coherent dynamic–thermodynamic adaptation to PV change. In a PV perspective, first, the anticyclonic circulation change over the Arctic is produced by a negative PV change through PV adaptation, in which the change means the linear trend from 1979 to 2017. The negative PV change is directly regulated by Arctic warming because the vertical structure of Arctic warming is stronger at lower levels, which generates a negative PV change through the diabatic heating effect. Second, the circulation change produces a change in horizontal PV advection due to the existence of climatological PV gradients. Thus, as a balanced result, both the circulation change and PV change extend to the midlatitudes through horizontal PV advection and PV adaptation. Eventually, Eurasian cooling at the surface and in the lower troposphere is dominated by PV changes at the surface through PV adaptation. Meanwhile, enhanced Eurasian cooling in the middle troposphere is dominated by top-down influences of upper-level PV change through PV adaptation. Nevertheless, the upper-level PV changes are still contributed to by horizontal PV advection associated with Arctic warming. Overall, the general dynamics connecting Eurasian cooling with Arctic warming are demonstrated in a PV view.
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21

Laird, Joyce. "Supplying Solar PV." Renewable Energy Focus 12, no. 6 (November 2011): 72–77. http://dx.doi.org/10.1016/s1755-0084(11)70159-4.

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22

Yagiura, T., M. Morizane, K. Murata, K. Uchihashi, S. Tsuda, S. Nakano, T. Ito, et al. "Exchangeable PV shingle." Solar Energy Materials and Solar Cells 47, no. 1-4 (October 1997): 227–33. http://dx.doi.org/10.1016/s0927-0248(97)00043-3.

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23

Cramer, G., M. Ibrahim, and W. Kleinkauf. "PV system technologies." Refocus 5, no. 1 (January 2004): 38–42. http://dx.doi.org/10.1016/s1471-0846(04)00076-9.

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24

Maurus, H., M. Schmid, B. Blersch, P. Lechner, and H. Schade. "PV for buildings." Refocus 5, no. 6 (November 2004): 22–27. http://dx.doi.org/10.1016/s1471-0846(04)00255-0.

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25

Wiser, Ryan, Mark Bolinger, Peter Cappers, and Robert Margolis. "PV cost trends." Refocus 7, no. 5 (September 2006): 26–31. http://dx.doi.org/10.1016/s1471-0846(06)70694-1.

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26

Skandalos, Nikolaos, and Dimitris Karamanis. "PV glazing technologies." Renewable and Sustainable Energy Reviews 49 (September 2015): 306–22. http://dx.doi.org/10.1016/j.rser.2015.04.145.

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27

Roecker, Ch, P. Affolter, J. Bonvin, J. B. Gay, and A. N. Muller. "PV building lements." Solar Energy Materials and Solar Cells 36, no. 4 (April 1995): 381–96. http://dx.doi.org/10.1016/0927-0248(95)80013-1.

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28

Alexandru, Cătălin. "PV Tracking Systems." Energies 16, no. 6 (March 16, 2023): 2769. http://dx.doi.org/10.3390/en16062769.

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29

Wedekind, Silke. "Polycythaemia vera (PV)." InFo Hämatologie + Onkologie 26, no. 10 (October 2023): 48. http://dx.doi.org/10.1007/s15004-023-0096-6.

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30

Kshatri, Sainadh Singh, Javed Dhillon, Sachin Mishra, Rizwan Tariq, Naveen Kumar Sharma, Mohit Bajaj, Ateeq Ur Rehman, Muhammad Shafiq, and Jin-Ghoo Choi. "Reliability Analysis of Bifacial PV Panel-Based Inverters Considering the Effect of Geographical Location." Energies 15, no. 1 (December 27, 2021): 170. http://dx.doi.org/10.3390/en15010170.

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Recent trends in the photovoltaic (PV) technology industry are moving towards utilizing bifacial PV panels. Unlike traditional PV panels, bifacial PV panels can yield energy from both sides of the panel. Manufacturers specify that bifacial PV panels can harness up to 30% more energy than traditional PV panels. Hence, bifacial PV panels are becoming a common approach at low solar irradiance conditions to yield more energy. However, a bifacial PV panel increases PV inverter loading. The PV inverter is the most unreliable component in the entire PV system. This results in a negative impact on PV system reliability and cost. Hence, it is necessary to anticipate the inverter’s reliability when used in bifacial PV panels. This paper analyzes the reliability, i.e., lifetime, of PV inverters, considering both monofacial and bifacial PV panels for the analysis. Results showed that the increase in bifacial energy yield could significantly affect PV inverter reliability performance, especially in locations where the average mission profile is relatively high.
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31

Tsai, Huan Liang, and Chao Jia Yang. "PV Model with Energy Balance Equation for Commercial PV Modules." Applied Mechanics and Materials 284-287 (January 2013): 1163–67. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1163.

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This paper presents a novel photovoltaic (PV) model for a commercial PV module, which is augmented with an energy balance equation to simultaneously describe cell temperature and PV electricity output characteristics. Having the thermal and electrical characteristics of commercial PV module available from the manufacturer datasheet, the proposed PV model is implemented on the Simulink environment and verified under the standard test condition (STC) and nominal operating cell temperature (NOCT) condition. The NOCT verification with a commercial PV module datasheet is first addressed. Through experimental measurement of a commercial PV module in real operation from June 1 to August 31, 2011, the proposed model demonstrates the good estimation performance of both cell temperatures and output electricity characteristics. Comparing with ones of the other methods, the predicted output characteristics of the proposed model have a better agreement with the measured ones of an operating PV module.
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32

Iliceto, A., and R. Vigotti. "The largest PV installation in Europe: Perspectives of multimegawatt PV." Renewable Energy 15, no. 1-4 (September 1998): 48–53. http://dx.doi.org/10.1016/s0960-1481(98)00135-9.

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33

Zhang, Yin, Mridul Sakhuja, Fang Jeng Lim, Stephen Tay, Congyi Tan, Monika Bieri, Vijay Anand Krishnamurthy, et al. "The PV System Doctor – Comprehensive diagnosis of PV system installations." Energy Procedia 130 (September 2017): 108–13. http://dx.doi.org/10.1016/j.egypro.2017.09.404.

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34

Poggi, Philippe, Christophe Darras, Marc Muselli, and Guillaume Pigelet. "The PV-Hydrogen MYRTE Platform - PV Output Power Fluctuations Smoothing." Energy Procedia 57 (2014): 607–16. http://dx.doi.org/10.1016/j.egypro.2014.10.215.

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35

van Helden, Wim G. J., Ronald J. Ch van Zolingen, and Herbert A. Zondag. "PV thermal systems: PV panels supplying renewable electricity and heat." Progress in Photovoltaics: Research and Applications 12, no. 6 (September 2004): 415–26. http://dx.doi.org/10.1002/pip.559.

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36

Rakesh Tej Kumar, K., M. Ramakrishna, and G. Durga Sukumar. "A review on PV cells and nanocomposite-coated PV systems." International Journal of Energy Research 42, no. 7 (February 19, 2018): 2305–19. http://dx.doi.org/10.1002/er.4002.

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37

Modjinou, Mawufemo, Jie Ji, Weiqi Yuan, Fan Zhou, Sarah Holliday, Adeel Waqas, and Xudong Zhao. "Performance comparison of encapsulated PCM PV/T, microchannel heat pipe PV/T and conventional PV/T systems." Energy 166 (January 2019): 1249–66. http://dx.doi.org/10.1016/j.energy.2018.10.007.

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38

Studholme, David J., Emmanuel Wicker, Sadik Muzemil Abrare, Andrew Aspin, Adam Bogdanove, Kirk Broders, Zoe Dubrow, et al. "Transfer of Xanthomonas campestris pv. arecae and X. campestris pv. musacearum to X. vasicola (Vauterin) as X. vasicola pv. arecae comb. nov. and X. vasicola pv. musacearum comb. nov. and Description of X. vasicola pv. vasculorum pv. nov." Phytopathology® 110, no. 6 (June 2020): 1153–60. http://dx.doi.org/10.1094/phyto-03-19-0098-le.

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We present an amended description of the bacterial species Xanthomonas vasicola to include the causative agent of banana Xanthomonas wilt, as well as strains that cause disease on Areca palm, Tripsacum grass, sugarcane, and maize. Genome-sequence data reveal that these strains all share more than 98% average nucleotide with each other and with the type strain. Our analyses and proposals should help to resolve the taxonomic confusion that surrounds some of these pathogens and help to prevent future use of invalid names. [Formula: see text] Copyright © 2020 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .
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39

Iurlo, Alessandra, Umberto Gianelli, Alessia Moro, Paola Bianchi, Elisa Fermo, Claudia Vener, Federica Savi, Radaelli Franca, Silvano Bosari, and Alberto Zanella. "Early-Polycythemia Vera (e-PV) with Thrombocytosis: Clinical Characteristics, Morphological Features and JAK2V617F Mutational Status Contributing to the Differential Diagnosis with Essential Thrombocythemia." Blood 108, no. 11 (November 16, 2006): 3628. http://dx.doi.org/10.1182/blood.v108.11.3628.3628.

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Abstract According to the recently published WHO classification, two well-defined stages of PV, known as polycythemic phase and post-polycythemic myelofibrosis, are clearly recognizable. A few years ago, it has been reported that erythrocytosis may develop in the course of ET, and that PV may present in the early stage of the disease with an elevated platelet count, mimicking ET. Recently, it has been suggested that PV could be preceded by an “early” phase of the disease (Thiele et al, 2005), in which the increase in the red cell mass or hemoglobin level are lower than requested for the diagnosis either by the updated diagnostic criteria of the Polycythemia Vera Study Group (PVSG) or by the WHO classification. Very recently, the European Clinical and Pathological (ECP) criteria for the diagnosis of the “early” PV have been published (Michiels et al, 2006). The aim of this study is to examine the clinical features, the bone marrow biopsies (BMBs) and the JAK2V617F mutational status of 17 e-PV patients. All presented, at diagnosis, the clinical and morphological features of ET, and manifested a well-developed polycythemic phase of PV during the course of the follow-up (median 8.6 yrs; range 2–17 yrs). We compared the study group with 19 cases of PV and 14 cases of ET (according to WHO) as controls. Clinically, e-PV patients revealed at diagnosis increased levels of Hb (e-PV: 15.5g/dl; ET: 13.8g/dl; PV: 16.9g/dl), Hct (e-PV: 45.9%; ET: 41%; PV: 51.8%) and Ptl count (e-PV: 854×109/l; ET: 877×109/l; PV: 691×109/l), splenomegaly (e-PV: 43%; ET: 0%; PV: 61%) and hepatomegaly (e-PV: 53%; ET: 14%; PV: 61%). Morphological examination of the BMBs in e-PV patients demonstrated moderate to marked increase of the BM cellularity (e-PV: 65%; ET: 0%; PV: 73%) and pleiomorphic (i.e. clusters of small to giant) megakaryocytes (e-PV: 83%; ET: 20%; PV: 100%). Moreover, increased (e-PV: 100%; ET: 14%; PV: 100%) and left shifted erythropoiesis (e-PV: 82%; ET: 0%; PV: 79%), and increased (e-PV: 65%; ET: 14%; PV: 100%) and left-shifted granulopoiesis (e-PV: 65%; ET: 0%; PV: 58%) were also found. Mutational status analysis revealed that 15/15 e-PV cases (100%) carried the JAK2V617F mutation (6 homozygous and 9 heterozygous), in comparison to 7/13 (54%) ET (1 homozygous, 6 heterozygous) and to 17/19 (89%) PV (5 homozygous, 12 heterozygous). In conclusion, the results of our study confirm the existence of a “early” phase of PV that may mimic ET. A diagnostic algorithm, useful to differentiate e-PV from ET, may be obtained considering altogether the clinical, morphological and molecular characteristics of each patient.
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40

Khan, Javeed Ahmad. "Modelling and Analysis of Grid Connected PV System under Different Penetration Level of PV." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 20–25. http://dx.doi.org/10.31142/ijtsrd12952.

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41

Yu, Byunggyu, and Seok-Cheol Ko. "Power dissipation analysis of PV module under partial shading." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (April 1, 2021): 1029. http://dx.doi.org/10.11591/ijece.v11i2.pp1029-1035.

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Photovoltaic (PV) generation has been growing dramatically over the last years and it ranges from small, rooftop-mounted or building integrated systems, to large utility scale power stations. Especially for rooftop-mounted PV system, PV modules are serially connected to match with PV inverter input voltage specification. For serially connected PV system, shading is a problem since the shaded PV module reduces the output whole string of PV modules. The excess power from the unshaded PV module is dissipated in the shaded PV module. In this paper, power dissipation of PV module under partial shading is analyzed with circuit analysis for series connected PV modules. The specific current and voltage operating point of the shaded PV module are analyzed under shading. PSIM simulation tool is used to verify the power dissipation analysis. When there is no bypass diode and three solar modules are connected in series, upto 39.1% of the total maximum PV power is dissipated in the shaded PV module. On the other hand, when the bypass is attached, 0.3% of the total maximum power is generated as a loss in the shaded PV module. The proposed analysis technique of shaded PV module could be used in PV system performance analysis, especially for maximum power point tracking (MPPT) performance.
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42

Zulfahmi, Muhammad, RD Kusumanto, and Yohandri Bow. "Automatic Cleaning System Design to Increase PV Panel Output Power." International Journal of Research in Vocational Studies (IJRVOCAS) 1, no. 2 (September 10, 2021): 59–66. http://dx.doi.org/10.53893/ijrvocas.v1i2.48.

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The existence of the Township Housing, which is currently near the coal mine site, precisely in Tanjung Enim, South Sumatra, with a relatively open area (41 Ha) and a relatively high elevation of approximately 100 meters over the sea level, has the potential to be installed with PV panels as a solar power plant. Installation of PV panels in residential areas close to coal mining activities has the potential to indirectly generate a lot of mine dust which can reduce the amount of light received by the PV panels, which in turn can affect the output power of the PV panels. The purpose of this study is to analyze the use of an automatic cleaning system to increase the output power of PV panels by comparing the output power of PV panels produced between PV panels with an automatic cleaning system in the form of a water sprayer with PV panels that are not equipped with a water sprayer (standard PV installation). The use of an automatic cleaning system shows an increase in the average output power of 44.56 Watt. The difference between Isc PV water sprayer and normal PV is 0.5513 A. Iload measurement on PV water sprayer is 0.1973 A higher than normal PV, while for VOC PV panel water sprayer is smaller than normal PV is about 0.45 V. For PV water sprayer Vload is 0.431 V is more significant than normal PV panels. Meanwhile, for the generated load power or Pload, the PV water sprayer is 9.47 watts higher than normal PV. From all these values, the average efficiency produced by PV water sprayer is 1.81% greater than the efficiency produced by normal PV. This study shows that PV using a water sprayer produces an average output power of 44.56 watts
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43

Paul, Damasen Ikwaba. "Experimental Characterisation of Photovoltaic Modules with Cells Connected in Different Configurations to Address Nonuniform Illumination Effect." Journal of Renewable Energy 2019 (April 1, 2019): 1–15. http://dx.doi.org/10.1155/2019/5168259.

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Most concentrating systems that are being used for photovoltaic (PV) applications do not illuminate the PV module uniformly which results in power output reduction. This study investigated the electrical performance of three PV modules with cells connected in different configurations to address nonuniform illumination effect. PV module 1 is the standard module consisting of 11 solar cells connected in series whereas PV module 2 is a proposed design with 11 cells in three groups and each group consists of different cells in series connections. PV module 3 is also a new design with 11 cells in two groups and each group consists of different cells connected in series. The new PV modules were designed in such a way that the effect of nonuniform illumination should affect a group of cells but not the entire PV module, leading to high power output. The PV modules were tested under three different intensities: uniform, low nonuniform, and high nonuniform illumination. When the PV modules were tested at uniform illumination, the total maximum power output of PV module 1 was higher than that of PV module 2 and PV module 3 by about 7%. However, when the PV modules were tested at low nonuniform illumination, the total maximum power output of PV module 2 was higher than that of PV module 1 and PV module 3 by about 4% and 7%, respectively. This difference increased to about 12% for PV module 3 and 17% for PV module 1 when the modules were tested at high nonuniform illumination. Therefore, the best PV module design in addressing nonuniform illumination effect in solar collectors is PV module 2. In practical situation this implies that manufacturers of PV modules should consider designing modules with groups of cells in series connection instead of all cells being connected in series.
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44

Quaghebeur, Ewoud. "LEARNING AND THE SIZE OF THE GOVERNMENT SPENDING MULTIPLIER – ERRATUM." Macroeconomic Dynamics 24, no. 6 (November 14, 2018): 1595. http://dx.doi.org/10.1017/s1365100518000809.

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Table 4 of this article was incorrectly published with subheadings in Table 4 missing. The publisher regrets this error and the correct version of Table 4 is presented here. Table 4.Present-value multipliers for different specifications of fiscal policy in the new Keynesian model with rational expectations and with adaptive learningRational expectationsAdaptive learningImpact1 year4 years6 yearsImpact1 year4 years6 yearsStrategy 1: Lump-sum financing (baseline model)$\frac{{PV\left( {\Delta Y} \right)}}{{PV\left( {\Delta G} \right)}}\$0.510.500.460.431.011.000.990.97$\frac{{PV\left( {\Delta C} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.29−0.30−0.34−0.370.090.090.070.06$\frac{{PV\left( {\Delta I} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.20−0.20−0.20−0.20−0.08−0.08−0.09−0.09Strategy 2: Capital tax financing$\frac{{PV\left( {\Delta Y} \right)}}{{PV\left( {\Delta G} \right)}}\$0.320.290.120.020.430.380.200.08$\frac{{PV\left( {\Delta C} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.23−0.26−0.40−0.48−0.08−0.12−0.27−0.37$\frac{{PV\left( {\Delta I} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.68−0.69−0.70−0.71−0.80−0.80−0.81−0.82Strategy 3: Labor tax financing$\frac{{PV\left( {\Delta Y} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.64−0.68−0.85−0.950.480.470.430.40$\frac{{PV\left( {\Delta C} \right)}}{{PV\left( {\Delta G} \right)}}\$−1.07−1.10−1.24−1.33−0.37−0.38−0.41−0.43$\frac{{PV\left( {\Delta I} \right)}}{{PV\left( {\Delta G} \right)}}\$−0.71−0.71−0.73−0.74−0.17−0.18−0.18−0.18Note: See main text for a description of the different financing strategies.
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45

Zhe, Leow Wai, Y. M. Irwan, M. Irwanto, A. R. Amelia, and I. Safwati. "Influence of wind speed on the performance of photovoltaic panel." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 1 (July 1, 2019): 62. http://dx.doi.org/10.11591/ijeecs.v15.i1.pp62-70.

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The aim of this project is to investigate the performance of photovoltaic (PV) panel influence by wind speed in Kangar, Perlis, Malaysia. A low conversion energy efficiency of the PV panel is the major problem of a PV application system. The PV panel is absorbed solar irradiance minor converted into electrical energy, and the rest is converted into heat energy. Therefore, the heat energy generated by the PV panel is increased in its operating temperature. However, PV panel is necessary to operate them at the low operating temperatures to keep the PV panel electrical efficiency at an acceptable level. In this experiment, one unit of the PV panel was limited wind flow over its surface and the other one PV panel was operated in the normal condition. The operating temperature of the PV panel with wind speed is less than the PV panel without wind speed. This is due to wind flow over the surface of the PV panel can enhance heat extraction from the PV panel. Hence, PV panel with wind speed can generate a higher output power than that without wind speed. This improvement output performance of PV panel will have an important contribution to PV application systems.
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46

Elazab, Omnia S., Hany M. Hasanien, Ibrahim Alsaidan, Almoataz Y. Abdelaziz, and S. M. Muyeen. "Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm." Energies 13, no. 2 (January 20, 2020): 497. http://dx.doi.org/10.3390/en13020497.

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While addressing the issue of improving the performance of Photovoltaic (PV) systems, the simulation results are highly influenced by the PV model accuracy. Building the PV module mathematical model is based on its I-V characteristic, which is a highly nonlinear relationship. All the PV cells’ data sheets do not provide full information about their parameters. This leads to a nonlinear mathematical model with several unknown parameters. This paper proposes a new application of the Grasshopper Optimization Algorithm (GOA) for parameter extraction of the three-diode PV model of a PV module. Two commercial PV modules, Kyocera KC200GT and Solarex MSX-60 PV cells are utilized in examining the GOA-based PV model. The simulation results are executed under various temperatures and irradiations. The proposed PV model is evaluated by comparing its results with the experimental results of these commercial PV modules. The efficiency of the GOA-based PV model is tested by making a fair comparison among its numerical results and other optimization method-based PV models. With the GOA, a precise three-diode PV model shall be established.
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47

Kim, Taeyoung, and Jinho Kim. "A Regional Day-Ahead Rooftop Photovoltaic Generation Forecasting Model Considering Unauthorized Photovoltaic Installation." Energies 14, no. 14 (July 14, 2021): 4256. http://dx.doi.org/10.3390/en14144256.

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Rooftop photovoltaic (PV) systems are usually behind the meter and invisible to utilities and retailers and, thus, their power generation is not monitored. If a number of rooftop PV systems are installed, it transforms the net load pattern in power systems. Moreover, not only generation but also PV capacity information is invisible due to unauthorized PV installations, causing inaccuracies in regional PV generation forecasting. This study proposes a regional rooftop PV generation forecasting methodology by adding unauthorized PV capacity estimation. PV capacity estimation consists of two steps: detection of unauthorized PV generation and estimation capacity of detected PV. Finally, regional rooftop PV generation is predicted by considering unauthorized PV capacity through the support vector regression (SVR) and upscaling method. The results from a case study show that compared with estimation without unauthorized PV capacity, the proposed methodology reduces the normalized root mean square error (nRMSE) by 5.41% and the normalized mean absolute error (nMAE) by 2.95%, It can be concluded that regional rooftop PV generation forecasting accuracy is improved.
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48

Bonini, Marcel, Antonio Carlos Maringoni, and Julio Rodrigues Neto. "Characterization of Xanthomonas spp. strains by bacteriocins." Summa Phytopathologica 33, no. 1 (March 2007): 24–29. http://dx.doi.org/10.1590/s0100-54052007000100003.

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Twenty-five strains of Xanthomonas axonopodis pv. citri and 14 strains of Xanthomonas spp. were tested for bacteriocin production. X. axonopodis pv. passiflorae strains were sensitive to the bacteriocins produced by the 25 X. axonopodis pv. citri strains evaluated in this study while strains of X. axonopodis pv. manihotis and X. campestris pv. campestris showed variable sensitivity. Only five of the 25 X. axonopodis pv. citri strains were not inhibited by the bacteriocins produced by the two X. axonopodis pv. passiflorae strains. The bacteriocins produced by the Xanthomonas axonopodis pv. citri (FDC-806) and X. axonopodis pv. passiflorae (Mar-2850 A) strains were thermolabile, resistant to lysozyme and sensitive to DNAse. The bacteriocin produced by X. axonopodis pv. passiflorae was resistant to the action of proteinase K, trypsin and RNAse while the bacteriocin produced by X. axonopodis pv. citri was sensitive to these enzymes. The bacteriocins produced by X. axonopodis pv. passiflorae and X. axonopodis pv. citri were called passifloricin and citricin, respectively.
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49

Ghani, Z. A., S. Safwanah Rosli, and H. Othman. "Modeling and Implementation of Photovoltaic Modules for a DC-DC Boost Converter." Jurnal Kejuruteraan si5, no. 2 (November 30, 2022): 225–31. http://dx.doi.org/10.17576/jkukm-2022-si5(2)-24.

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A photovoltaic (PV) system is a renewable energy system intended to convert sunlight into the usable electricity. Due to the rapid world infrastructure development, the demand for electricity is increasing drastically. One of the promising energy resources is the PV. The required energy demand can be provided by the increase of PV system deployment. Thus, as part of the design, development and implementation of a new PV system, a system design simulation is essential. This is to ensure that the designed system works properly according to design specifications. For this reason, a PV mathematical model is necessary in the development process of the PV system especially in the MATLAB/Simulink software environment. With the developed PV model, the PV system design and simulation is made handy, thus escalates the future energy demand. This work describes the development of the PV mathematical model in the MATLAB/Simulink software environment based on the PV related equations. The equations are formed by the consideration of the equivalent circuit of PV cell. The developed PV model characteristics such as the Power-Voltage (P-V) and Current-Voltage (I-V) curves are obtained as the simulation output in MATLAB/Simulink. The obtained characteristics are compared to the actual PV model A 100W RNG-50D Renogy, as to verify the effectiveness and closeness of the developed PV model to the real PV module. In addition, in the simulation, a dc-dc boost converter is also designed and integrated with the PV model as to verify the PV module and capability as a PV power source. The simulation results with the dc-dc boost converter DC-DC integration have shown that the developed PV model is very effective to be used for the PV system simulation.
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50

Li, Xiaofei, Zhao Wang, Yinnan Liu, Haifeng Wang, Liusheng Pei, An Wu, Shuang Sun, Yongjun Lian, and Honglu Zhu. "A Novel Operating State Evaluation Method for Photovoltaic Strings Based on TOPSIS and Its Application." Sustainability 15, no. 9 (April 27, 2023): 7268. http://dx.doi.org/10.3390/su15097268.

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PV strings are essential for energy conversion in large-scale photovoltaic (PV) power plants. The operating state of PV strings directly affects the power generation efficiency and economic benefits of PV power plants. In the process of evaluating PV arrays, a reference array needs to be identified. By comparing PV arrays with the reference array, the operational status of the PV arrays can be evaluated. However, in the actual operation of PV power stations, it is difficult to directly determine the reference state of a PV array due to random fluctuations in the PV power output. In order to solve the problems mentioned above, this paper proposes a method to select the reference state and perform a grading evaluation of PV strings. Additionally, the proposed method is based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm, which is used to rank the performance of PV arrays to determine their status. In order to solve the problem of random fluctuations in PV power generation, a probability distribution model of the PV string conversion efficiency was built by using the kernel density estimation method. Then, the characteristic indicator of the PV string’s operating state was described by the output power of the PV string and its probability distribution model. Then, based on the operating characteristic indicator, the reference state of the PV string was determined using the TOPSIS method, and the grading evaluation of the operating state of the PV string was realized. Finally, the effectiveness of the proposed method was verified using the actual data of a PV power station.
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