Analysis of output power and capacity reduction in electrical storage facilities by peak shift control of PV system with bifacial modules

Bifacial photovoltaics are widely investigated with the aim of reducing the amount of silicon used and increasing conversion efficiencies. The output power of bifacial photovoltaics depends on the quantity of solar radiation incident on the reverse face. Furthermore, controlling the orientation can distribute the times of peak power output in the morning and afternoon to better match the demand. In this study, the demand patterns of individual houses or the whole Hokkaido region were analyzed assuming the substitution of a conventional large-scale electric power system with one using bifacial photovoltaics. The supply–demand balances and electrical storage capacities were investigated. When comparing a large scale solar power plant (mega-solar power plant) using monofacial photovoltaics or vertical bifacial photovoltaics (in which the orientation could be adjusted), the supply–demand could be better balanced for individual houses in the latter case, thereby allowing the storage capacity to be reduced. A bifacial solar module was modeled by 3D-CAD (three dimensional computer aided design) and thermal fluid analysis. The module temperature distribution of bifacial photovoltaics was calculated with respect to the environmental conditions (wind flow, direct and diffuse solar radiation, etc.) and internal heat generation, as well as the orientation of the solar panels. Furthermore, the output power of bifacial photovoltaics can be easily obtained from the analysis result of modular temperature distribution and the relation between temperature and output power.

[1]  Mohammad Nurul Alam Hawlader,et al.  An active cooling system for photovoltaic modules , 2012 .

[2]  A. Schroeder Modeling storage and demand management in power distribution grids , 2011 .

[3]  R. Harney,et al.  Approaches to an Improved IV and QE Characterization of Bifacial Silicon Solar Cells and the Prediction of their Module Performance , 2011 .

[4]  Esfandyar Mazhari,et al.  Integrated analysis of high-penetration PV and PHEV with energy storage and demand response , 2013 .

[5]  Ramesh C. Bansal,et al.  Damping performance analysis of battery energy storage system, ultracapacitor and shunt capacitor with large-scale photovoltaic plants , 2012 .

[6]  Soteris A. Kalogirou,et al.  A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants , 2013 .

[7]  N. Auriac,et al.  HIGH EFFICIENCY BIFACIAL SOLAR CELL DEVELOPPED ON MONOCRISTALLINE SI AND TRANSFERED TO MULTICRISTALLINE SI , 2011 .

[8]  Diego H. Milone,et al.  Simulation of photovoltaic centrals with dynamic shading , 2013, Applied Energy.

[9]  Y. Veschetti,et al.  High efficiency fully implanted and co-annealed bifacial n-type solar cells , 2013 .

[10]  Jan Christoph Goldschmidt,et al.  Optical Simulation of Bifacial Solar Cells , 2012 .

[11]  Wenyuan Li,et al.  Reliability assessment of photovoltaic power systems: Review of current status and future perspectives , 2013 .

[12]  Gianfranco Rizzo,et al.  Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage , 2012 .

[13]  Yan Su,et al.  Real-time prediction models for output power and efficiency of grid-connected solar photovoltaic systems , 2012 .

[14]  Efstratios N. Pistikopoulos,et al.  A spatial multi-period long-term energy planning model: A case study of the Greek power system , 2014 .

[15]  Atul Bisht,et al.  Simulation approach for optimization of device structure and thickness of HIT solar cells to achieve ∼27% efficiency , 2013 .

[16]  Abasifreke Ebong,et al.  High efficiency screen printed bifacial solar cells on monocrystalline CZ silicon , 2011 .