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Application of Solar Photovoltaic Power Generation System in Maritime Vessels and Development of Maritime Tourism

BIBLIOGRAPHY 1. Sukamongkol Y., Chungpaibulpatana S., Ongsakul W.: A simulation model for predicting the performance of a solar photovoltaic system with alternating current loads . Renewable Energy, Vol. 27, no. 2, pp.237-258, 2002. 2. Kolhe M., Kolhe S., Joshi J C.: Economic viability of stand-alone solar photovoltaic system in comparison with diesel-powered system for India . Energy Economics, Vol. 24, no. 2, pp. 155-165, 2002. 3. Dubey S., Tiwari G N.: Thermal modeling of a combined system of photovoltaic thermal (PV/T) solar water heater

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Hybrid MPPT Algorithm for PV Systems Under Partially Shaded Conditions Using a Stochastic Evolutionary Search and a Deterministic Hill Climbing

generation , Ren. Sust. En. Rev., 2015, 41, 284–297. [4] K ot R., S tynski S., M alinowski M., Hardware methods for detecting global maximum power point in a PV power plant , Proc. IEEE Int. Conf. Industrial Technology, ICIT, 2015, 2907–2914. [5] L ogeswarana T., S enthilkumarb A., A review of maximum power point tracking algorithms for photovoltaic systems under uniform and non-uniform irradiances , 4th Int. Conf. Advances in Energy Research, ICAER 2013, India, 2013, 228–235. [6] I shaque K., S alam Z., A mjad M., M ekhilef S., An improved

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Experimental and Numerical Analysis of Photovoltaics System Improvements in Urban Area

Abstract

Nowadays, photovoltaic systems installed in urban areas have to be an essential part of distributed generation systems, and lead to improve energy efficiency of buildings. The paper describes the operation aspects of the 7,5 kWp photovoltaic installation located on the roof of the didactic building of AGH University of Science and Technology. The significant part of the roof Is occupied by HVAC installation, so the periodic shading is occurring. It makes, that a level of energy generated in the PV system is lower than expected. The first part of the test was focused on the validating model of the installation and determine its impact on the CO2 emissions. Then, modifications in the arrangement of the panels were considered (redirecting of additional light stream). Moreover, an economic and environmental analysis of proposed improvements were conducted.

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Modeling the I- λ-T Characteristic for Photovoltaic Systems Storage Batteries During Charging Process

5. REFERENCES [1] R. Messenger and J. Ventre, Photovoltaic System Engineering, CRC Press, Boca Raton, Fla, USA, 2000. [2] M. Liserre, T. Sauter, and J.Y. Hung, Future Energy Systems: Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics, IEEE Industrial Electronics Magazine, vol. 4, no. 1, pp. 18-37, March 2010. [3] Harding Battery handbook for Quest Rechargeable Cell and Battery Packs, Lithium Ion, Section 5, 2004. [4] J. V. Mierlo, P.V. den Bossche, G. Maggetto, Models of energy sources for EV and

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Study of Simple MPPT Converter Topologies for Grid Integration of Photovoltaic Systems

References N. Mohan, T. M. Undeland, and W. P. Robbins, Power Electronics. Converters, Applications and Design: Wiley, 2003, pp. 161-200. Shanthi, T.; Ammasai Gounden, N., "Power electronic interface for grid-connected PV array using boost converter and line-commutated inverter with MPPT," International Conference on Intelligent and Advanced Systems ICIAS 2007, pp.882-886, 2007. Ribeiro, H.; Pinto, A.; Borges, B., "Single-stage DC-AC converter for photovoltaic systems," Energy

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AN IMPROVED PERTURB AND OBSERVE MPPT ALGORITHM WITH VARIABLE STEP

Abstract

The algorithm for maximum power point tracking (MPPT) using a fixed is widely used because of its simplicity and easyness to implement. This paper presents an improvement consisting in a variable step (VS) applied to the standard Hill Climbing MPPT technique to improve both accuracy and tracking speed. Drawbacks will still be encountered in VS tracking algorithms, between response time and power oscillation.

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Bright Copper Plating Using Photovoltaic as an Energy Source

-471-49196-9 MESSENGER, R. VENTRE, J. Photovoltaic Systems Engineering. New York: CRC Press LLC, 2005. ISBN 0-8493-1793-2 MARKVART, T., CASTANER, L. Solar Cells: Materials, Manufacture and Operation. Amsterdam: Elsevier, 2005. ISBN:1-85617-457-3 BELICA, P. et al. Guide to energy saving and renewable energy sources. Valašské Meziříčí: Regional Energy Centre, 2006. 89 s. ISBN 80-903680-1-8 KUDLÁČEK, JAN. Problem of surface pretreatment. In Surface treatment , 2007, volume 1. Internet source :http

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A novel hysteresis power point optimizer for distributed solar power generation

] S. M. MacAlpine, R. W. Erickson, and M. J. Brandemuehl, “Characterization of Power Optimizer Potential to Increase Energy Capture in Photovoltaic Systems Operating Under Nonuniform Conditions,” IEEE Transactions on Power Electronics, vol. 28, no. 6, pp. 2936-2945, 2013. https://doi.org/10.1109/tpel.2012.2226476 [7] V. Salas, E. Olias, A. Barrado, and A. Lazaro, “Review of the Maximum Power Point Tracking Algorithms for Stand-Alone Photovoltaic Systems,” Solar Energy Materials and Solar Cells, vol. 90, no. 11, pp. 1555-1578, July 2006. https

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Risk management method for small photovoltaic plants

-391. Cortez, L., Cortez, J.I., Aguilar, G.M., Rueda, S.M., Rodriguez, A.D., García, G.T., Camacho, A.P. and Hernandez, EH. (2012), “Determination of the Efficiency of a Photovoltaic System Operating On the Climatic Features of Mexico”, International journal of advanced renewable energy research, Vol. 1, No. 11, pp. 611-617. Kirova, M. and Velikova, P. (2014), “Monte Carlo simulation for risk assessment of photovoltaic installations”, CTIC - Proceedings in Conference of Informatics and Management Sciences, University of Zilina, Slovak Republic, pp. 82-87. Kirova

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Research on Marine Photovoltaic Power Forecasting Based on Wavelet Transform and Echo State Network

research for ship, Ship Science and Technology,Vol.37,no .2,pp.136-139,2015. 10. Mahela, O.P., Ola, S.R.: Impact of grid disturbances on the output of grid connected solar photovoltaic system in IEEE Students’ Conference on Electrical, Electronics and Computer Science, 2016. 11. Lou, X., Loparo, K.A.: Bearing fault diagnosis based on wavelet transform and fuzzy inference, Mechanical Systems & Signal Processing, Vol. 18, no.5, pp. 1077-1095, 2004. 12. Lou, X., Loparo, K.K.: Bearing Fault Diagnosis Based on Wavelet Transform

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