Assessing the solar potential of roofs in Valparaíso (Chile)

Abstract A computer routine was created with the aim of estimating the solar energy potential in an urban area of Valparaiso (Chile) constituting 366 houses, characterized by a high heterogeneity of roofing in terms of geometry and spatial orientation. The program routine is able to provide useful data for large scale assessment of domestic solar which includes the total hourly instantaneous solar radiation received on every roof for each hour of the year, as well as the yearly total solar radiation considering the roof geometry, tilt angle and orientation. To this end, aerial photographs were taken and topographic groundwork was carried out to produce a spatial-geometry database of the houses, which, together with local meteorological data, was used as numerical input to produce solar radiation mapping of the analysis zone. The results reflect the effect of the high heterogeneity of the input data for tilt angle, orientation and surface area of roof planes in the final values for yearly total incident solar radiation. The software routine could be used by local authorities, urban planners, energy advisers and private individuals to promote the uptake of solar energy in Valparaiso and in other cities around the world.

[1]  Maurizio Cellura,et al.  A photographic method to estimate the shading effect of obstructions , 2012 .

[2]  Ralph Dubayah,et al.  Topographic Solar Radiation Models for GIS , 1995, Int. J. Geogr. Inf. Sci..

[3]  Efim G. Evseev,et al.  The assessment of different models to predict the global solar radiation on a surface tilted to the south , 2009 .

[4]  H. Manz,et al.  Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation , 2007 .

[5]  H. Nowak,et al.  Statistical analysis of solar radiation models onto inclined planes for climatic conditions of Lower Silesia in Poland , 2009 .

[6]  Volker Coors,et al.  Combining system dynamics model, GIS and 3D visualization in sustainability assessment of urban residential development , 2012 .

[7]  C. Ratti,et al.  Energy consumption and urban texture , 2005 .

[8]  Darren Robinson,et al.  Predicting the urban solar fraction: a methodology for energy advisers and planners based on GIS , 2003 .

[9]  N. Fueyo,et al.  A method for estimating the geographical distribution of the available roof surface area for large-scale photovoltaic energy-potential evaluations , 2008 .

[10]  P. Rich,et al.  Modeling topographic influences on solar radiation: A manual for the SOLARFLUX Model , 1995 .

[11]  T. Chang The Sun’s apparent position and the optimal tilt angle of a solar collector in the northern hemisphere , 2009 .

[12]  Vincenzo Corrado,et al.  Calculation procedure of the shading factor under complex boundary conditions , 2011 .

[13]  Benjamin Y. H. Liu,et al.  The long-term average performance of flat-plate solar-energy collectors , 1963 .

[14]  J. Kern,et al.  On the optimum tilt of a solar collector , 1975 .

[15]  Ha T. Nguyen,et al.  Quantifying Rooftop Solar Photovoltaic Potential for Regional Renewable Energy Policy , 2010, Comput. Environ. Urban Syst..

[16]  Sarah Smith-Voysey,et al.  Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings , 2009, Computers, Environment and Urban Systems.

[17]  J. Monteith,et al.  Boundary Layer Climates. , 1979 .

[18]  M. Peña Examination of the Land Surface Temperature Response for Santiago, Chile , 2009 .

[19]  Rafael Montenegro,et al.  Solar radiation and shadow modelling with adaptive triangular meshes , 2009 .

[20]  N. Fueyo,et al.  Roof-top solar energy potential under performance-based building energy codes: The case of Spain , 2011 .