Design of Interior Daylighting Shading Control using LV and PVsyst Software

Vitality proficient, expense sparing inhabitance, planning and more regularity control the passive shading of interior lighting, a creative reasonable configuration methodology of rooftop solar PV module  structure outline is presented here. This  paper is  centered to build up  the utilization of inactive sun oriented shading systems  for  sunshine inside lighting to create a high visual level by considering  different  parameters, for example,  establishment, site determination, and execution checking of the sun based  PV framework utilizing worldwide radiation, temperature, mugginess, precipitation, days with precipitation, and course, daylighting span to focus the utilization and materialness of such frameworks in the Kolkotta  areas in India. This paper is delineated specialized, savvy, shading movement module misfortune and sparing of non-risky gas and green perspectives, alongside execution enlightenment of LED installation with their lifespan utilizing Lithonia Visual software (LV) and photovoltaic (PVsyst) software. DOI:  http://dx.doi.org/10.11591/telkomnika.v14i3.7885

[1]  Pradip Kumar Sadhu,et al.  A New Approach towards Ideal Location Selection for PV Power Plant in India , 2014 .

[2]  Duncan T. Moore,et al.  Milestones Toward 50% Efficient Solar Cell Modules , 2007 .

[3]  Yingni Jiang,et al.  Calculation of daily global solar radiation for Guangzhou, China , 2010, 2010 International Conference on Optics, Photonics and Energy Engineering (OPEE).

[4]  Ken Zweibel,et al.  Should solar photovoltaics be deployed sooner because of long operating life at low, predictable cost? , 2010 .

[5]  Takashi Oozeki,et al.  PV System With Reconnection to Improve Output Under Nonuniform Illumination , 2012, IEEE Journal of Photovoltaics.

[6]  Pragya Sharma,et al.  Solar energy generation potential along national highways , 2013 .

[7]  B. Goeldi,et al.  Module Integrated Electronics – An Overview , 2010 .

[8]  M. Drifa,et al.  A new estimation method of irradiance on a partially shaded PV generator in grid-connected photovoltaic systems , 2008 .

[9]  Jian Yao,et al.  Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis , 2014 .

[10]  Ahmad Qasaimeh.  Solar Energy Optimization through Seasons: Case Study in Jordan , 2012 .

[11]  J. Michalsky,et al.  Modeling daylight availability and irradiance components from direct and global irradiance , 1990 .

[12]  V. Agarwal,et al.  Reconfiguration strategy for optimization of solar photovoltaic array under non-uniform illumination conditions , 2011, 2011 37th IEEE Photovoltaic Specialists Conference.

[13]  Charles R. Sullivan,et al.  Partial-Shading Assessment of Photovoltaic Installations via Module-Level Monitoring , 2014, IEEE Journal of Photovoltaics.

[14]  Ben Slimane Hassane,et al.  Theoretical Study of Multiple Solar Cells System as a Function of Temperature , 2014 .

[15]  Ahmad K. Jassim,et al.  Production Hall and Inventory Shade Lighting by Solar Energy System and Economical Lighting (LEDs) , 2012 .

[16]  Gerald Siefer,et al.  SPICE Network Simulation to Calculate Thermal Runaway in III–V Solar Cells in CPV Modules , 2014, IEEE Journal of Photovoltaics.