A Sparse Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models
نویسندگان
چکیده
An effective three-dimensional (3D) data representation is required to assess the spatial distribution of the photovoltaic potential over urban building roofs and facades using 3D city models. Voxels have long been used as a spatial data representation, but practical applications of the voxel representation have been limited compared with rasters in traditional two-dimensional (2D) geographic information systems (GIS). We propose to use sparse voxel octree (SVO) as a data representation to extend the GRASS GIS r.sun solar radiation model from 2D to 3D. The GRASS GIS r.sun model is nested in an SVO-based computing framework. The presented 3D solar radiation computing framework was applied to 3D building groups of different geometric complexities to demonstrate its efficiency and scalability. We presented a method to explicitly compute diffuse shading losses in r.sun, and found that diffuse shading losses can reduce up to 10% of the annual global radiation under clear sky conditions. Hence, diffuse shading losses are of significant importance especially in complex urban environments.
منابع مشابه
A CVH-based computational female pelvic phantom for radiation dosimetry simulation
Background: Accurate voxel phantom is needed for dosimetric simulation in radiation therapy for malignant tumors in female pelvic region. However, most of the existing voxel phantoms are constructed on the basis of Caucasian or non-Chinese population. Materials and Methods: A computational framework for constructing female pelvic voxel phantom for radiation dosimetry was performed base...
متن کاملOctree-based fusion for realtime 3D reconstruction
This paper proposes an octree-based surface representation for KinectFusion, a realtime reconstruction technique of in-door scenes using a low-cost moving depth camera and a commodity graphics hardware. In KinectFusion, the scene is represented as a signed distance function (SDF) and stored as an uniform grid of voxels. Though the grid-based SDF is suitable for parallel computation in graphics ...
متن کاملSurface reconstruction from sparse data by a multiscale volumetric approach
This paper describes a method for surface reconstruction from sparse three-dimensional (3D) data that performs the reconstruction by building a sequence of surfaces approximating the data at increasing level of details (LOD). The method is simple, fast and suitable for a progressive 3D data/model representation, archiving, transmission. The surface reconstruction is obtained by a volumetric met...
متن کاملSparse Voxel DAGs
This thesis investigates a memory-efficient representation of highly detailed geometry in 3D voxel grids. The memory consumption of a plain dense grid scales too fast as the resolution increases to be feasible at very high resolutions. In computer graphics, the geometry is often surface geometry, and representing the data in a sparse voxel octree exploits the sparsity, making the memory consump...
متن کاملSemantic 3D Octree Maps based on Conditional Random Fields
In this paper we present a 3D semantic outdoor mapping system with multi-label and resolution octree maps based on the OctoMap mapping framework. The semantic labeling of point clouds uses conditional random fields. Speeding up the conditional random field, we use an adaptive graph downsampling method based on voxel grids and the histogram-of-oriented-residuals operator to describe the local po...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- ISPRS Int. J. Geo-Information
دوره 6 شماره
صفحات -
تاریخ انتشار 2017