A novel methodology for determining sky blocking by obstacles viewed virtually from any location on site

Abstract This paper presents an innovative methodology for determining sky blocking by obstacles, when viewed virtually from any location on a site. These sky blockings are defined in the form of azimuth and altitude angles (or position angles) of exposed corners of obstacles around locations, proposed for solar installations at the site. To determine sky blockings, the surveyor does not need to be present at that height or location. Rather few measurements would be taken from two easily accessible points (preferably on ground) and then the results will be extrapolated so as to determine sky blockings from required height or location. Some other surveying parameters are also recorded which are discussed in details. Trigonometric relations are derived which aid in viewing the obstacle virtually from any other chosen point on site which may not necessarily lie in the same plane as of reference points. Steps for performing physical survey are also explained which only requires measuring few angles and lengths. The method is demonstrated with a case study for validation. Ultimately, this innovative approach extends the flexibility in employing already existing sun-path diagram based site analysis methods by allowing surveyor to evaluate angles without physically reaching the desired locations. Application of proposed methodology lies in performing site analysis for solar installations in urban areas where energy is largely consumed.

[1]  Mubashir Ali Siddiqui,et al.  A novel method for determining sky view factor for isotropic diffuse radiations for a collector in obstacles-free or urban sites , 2015 .

[2]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[3]  N. Nijegorodov,et al.  Atmospheric transmittance models and an analytical method to predict the optimum slope of an absorber plate, variously oriented at any latitude , 1994 .

[4]  Hasan Rıza Özçalık,et al.  A Low Cost Shading Analyzer and Site Evaluator Design to Determine Solar Power System Installation Area , 2015 .

[5]  Viorel Badescu,et al.  Computing global and diffuse solar hourly irradiation on clear sky. Review and testing of 54 models , 2012 .

[6]  Qing Zhu,et al.  Digital terrain modeling - principles and methodology , 2004 .

[7]  Fredrik Wikerman,et al.  A novel shade analysis technique for solar photovoltaic systems , 2014 .

[8]  A. Hepbasli,et al.  Determination of the optimum tilt angle of solar collectors for building applications , 2007 .

[9]  A. Q. Malik,et al.  Optimum tilt angle and orientation for solar collector in Brunei Darussalam , 2001 .

[10]  Aleš Krainer,et al.  Energy evaluation of urban structure and dimensioning of building site using iso-shadow method , 2001 .

[11]  M. Brito,et al.  Solar energy potential on roofs and facades in an urban landscape , 2013 .

[12]  Karen Kensek,et al.  Shading Mask: a Teaching Tool for Sun Shading Devices , 1995 .

[13]  Brian Norton,et al.  The impact of array inclination and orientation on the performance of a grid-connected photovoltaic system , 2007 .

[14]  George O.G. Löf,et al.  World distribution of solar radiation , 1966 .

[15]  N. Lewis Toward Cost-Effective Solar Energy Use , 2007, Science.

[16]  Javier Ordóñez,et al.  Energy efficient design of building: A review , 2012 .

[17]  P. Littlefair Passive solar urban design: ensuring the penetration of solar energy into the city , 1998 .

[18]  C. Reinhart,et al.  A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations , 2013 .

[19]  Ralph L Knowles,et al.  The solar envelope: its meaning for energy and buildings , 2003 .

[20]  P. Pillay,et al.  Study of optimum tilt angles for solar panels in different latitudes for urban applications , 2012 .

[21]  David Pozo-Vázquez,et al.  On the use of the digital elevation model to estimate the solar radiation in areas of complex topography , 2006 .

[22]  K. Steemers,et al.  Urban Form, Density and Solar Potential , 2006 .