Back to Search Start Over

INVESTIGATING STANDARDIZED 3D INPUT DATA FOR SOLAR PHOTOVOLTAIC POTENTIALS IN THE NETHERLANDS

Authors :
Amiranti, Arsha Yuditha
Koeva, M.N.
Kuffer, M.
van Altena, V.
Post, Mark
Paparoditis, N.
Mallet, C.
Lafarge, F.
Zlatanova, S.
Dragicevic, S.
Sithole, G.
Agugiaro, G.
Arsanjani, J.J.
Boguslawski, P.
Breunig, M.
Brovelli, M.A.
Christophe, S.
Coltekin, A.
Delavar, M.R.
Al Doori, M.
Guilbert, E.
Fonte, C.C.
Haworth, J.
Isikdag, U.
Ivanova, I.
Kang, Z.
Khoshelham, K.
Koeva, M.
Kokla, M.
Liu, Y.
Madden, M.
Mostafavi, M.A.
Navratil, G.
Paudyal, D.R.
Pettit, C.
Spanò, A.
Stefanakis, E.
Tu, W.
Vacca, G.
Díaz-Vilariño, L.
Wise, S.
Wu, H.
Zhou, X.G.
Department of Urban and Regional Planning and Geo-Information Management
Faculty of Geo-Information Science and Earth Observation
UT-I-ITC-PLUS
Source :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 639-646 (2020), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 639-646
Publication Year :
2020
Publisher :
Copernicus GmbH, 2020.

Abstract

This paper presents our contribution to the development of a standardized 3D input data model for solar photovoltaic potential estimation. Presently, different input data and processing steps influence the calculation for estimating the potential of solar energy in the Netherlands. The variety in characteristics of input data and issues with temporal accuracy extracted from the national registers and databases makes it challenging to obtain a consistent and reliable result. To address this issue, we created a point cloud dataset that integrated from LiDAR point cloud and dense image matching which is complete, recent and positionally accurate. Furthermore, we made a 3D building model from the integrated point cloud and identified the effect of finer resolution in the photovoltaic potential analysis.

Details

ISSN :
21949034
Database :
OpenAIRE
Journal :
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Accession number :
edsair.doi.dedup.....6955b297b635ec67c482a88b472eef9d
Full Text :
https://doi.org/10.5194/isprs-archives-xliii-b4-2020-639-2020