login

Search documents

Browse topics

Document details

 
Title:
 
Future PV Supply in the Netherlands: Generating Spatially Resolved Hourly Profiles for Building, Land and Water-Bound Installations
 
Author(s):
 
N. Nortier, W.G.J.H.M. van Sark, B.B. Kausika, M. Paardekooper, A. Blankert, C. Lucas, A. van der Neut, S.L. Luxembourg, A.A. Mewe
 
Topic:
 
PV Applications, Integration and Storage
Subtopic: Energy System Integration
Event: 38th European Photovoltaic Solar Energy Conference and Exhibition
Session: 6CO.11.1
ISBN: 3-936338-78-7
 
Price:
 
 
0,00 EUR
 
Document(s): presentation
 

Abstract/Summary:


The aim of this research is to construct a geodatabase of spatially resolved PV supply profiles for building, land and water-bound installations under typical meteorological circumstances. This is done for three 2050 energy transition scenarios, which are all in line with the Dutch Climate Agreement, but differ from each other regarding the degree of decentralization of electricity demand and supply. Hourly global horizontal irradiation (GHI) measurements by 33 Dutch ground observation stations are gathered and linearly interpolated to obtain a raster dataset with a resolution of 25 km. GHI is converted to global tilted irradiation (GTI) for a multitude of slope and azimuth combinations by subsequently applying the Erbs diffuse fraction and Perez transposition models. The resulting GTI lookup table is produced for both a climate average and a specific meteorological year. By combining building polygons and a high-density LiDAR height point cloud, roof surface polygons characterized by a slope and azimuth are identified for all buildings in the Netherlands. Using the climate average variant of the earlier produced GTI lookup table, the solar resource on each of the roof surfaces is determined. Scenario-specific national PV capacities for residential and utility buildings are then distributed over neighborhoods proportional to the total yearly solar resource on their corresponding roof surfaces. The resulting neighborhood capacities are sub-distributed over slopeazimuth-positions by applying distribution ratios found in a large dataset on registered Dutch PV systems.