|Title:||Large-scale evaluation of rooftop solar potential using raytracing and GIS methods||Language:||English||Authors:||Burke, Joseph||Qualification level:||Diploma||Advisor:||Haas, Reinhard||Issue Date:||2021||Citation:||
Burke, J. (2021). Large-scale evaluation of rooftop solar potential using raytracing and GIS methods [Master Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.90571
|Number of Pages:||89||Qualification level:||Diploma||Abstract:||
The motivation for this thesis is to investigate if synergies between the data, toolsand processes already in place for radio network planning can be repurpose deffectively towards evaluating solar rooftop potential and at which tiers the effort of that adaptation may be better applied to using purpose made tools and a more detailed study. The objective of this work is to analyse the feasibility of repurposingradio network planning software and cartographic databases in combination with solar irradiation data to calculate region wide rooftop solar potential using GIS and raytracing techniques. This topic was explored within the framework of the following research questions:1. Can solar irradiation data be imported into a radio network planning software and filtered to building rooftops?2. Can cartography data be sourced with fine enough resolution to show roofslope/orientation, and can this data also be incorporated into the rooftop solar irradiation results?3. Can these results be further refined to include shading effects on building rooftops from the surrounding topography and buildings by simulating the sun as an isotropic radiator and line of sight calculation? It was found that solar radiation data could be filtered with an accuracy of 0.3musing Open Street Map building outline vectors, however this approach is only suitable at a regional or national level. Applying this process at a macro-level i.e.Western Europe, led to instabilities in the software which made the solution impractical. Furthermore, it was determined that, although cartographic data sets can be sourced with a resolution fine enough to determine roof slope and orientation,this data is discarded during the pre-processing necessary to import the data to a radio network planning software. Finally, it was found that an isotropic radiator simulated as a radio transmitter with a ‘Line of Sight’ model can accurately simulate the shadowing caused by the sun in specific positions e.g. summer and winter equinoxes, however the parallax effect causes the method to lose accuracy within a 300m radius of the target coordinates, making the solution unsuitable for a regionwide assessment.The author concludes that if value can be found from a method which employs off the-shelf radio network planning cartography, to assess regional rooftop solar potential, it would be to generate inputs from the pre-categorised clutter data (building classifications) to improve the results of existing or modified statistical methods.
|Keywords:||GIS; Solar-Potential; ArcGis; QGis; Rooftop-Solar||URI:||https://doi.org/10.34726/hss.2021.90571
|DOI:||10.34726/hss.2021.90571||Library ID:||AC16200085||Organisation:||E017 - TU Wien Academy||Publication Type:||Thesis
|Appears in Collections:||Thesis|
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