VIPV Shading Model Approach Based on Land Use Type

Yield prediction of VIPV is very important in order to be able to determine the impact VIPV can have in supporting the energy transition. The first step in predicting the yield is to determine the irradiance on the vehicle. For this the shading on the vehicles need to be known. However shading modelling of VIVP is quite difficult due to the dynamic behavior resulting from the movement of the vehicle. Previously we reported on the use of a generic shading model. In this paper we report on the specific challenges regarding the use of that model and propose an improved model for determining the shading factor for VIPV.

Authors

Publication Details

Journal
ETA Florence
Published
2026-04-27
DOI
https://doi.org/10.5071/2ndipvc2025-16
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

VIPV Shading Model Approach Based on Land Use Type

A.R. Burgers, A. Kleinhans, L. Slooff-Hoek, C. Braun et al.
ETA Florence
Electric Vehicles and Infrastructure
article

VIPV Shading Model Approach Based on Land Use Type

A.R. Burgers, A. Kleinhans, L. Slooff-Hoek, C. Braun, A. Carr, J. Kroon
article en

Abstract

Yield prediction of VIPV is very important in order to be able to determine the impact VIPV can have in supporting the energy transition. The first step in predicting the yield is to determine the irradiance on the vehicle. For this the shading on the vehicles need to be known. However shading modelling of VIVP is quite difficult due to the dynamic behavior resulting from the movement of the vehicle. Previously we reported on the use of a generic shading model. In this paper we report on the specific challenges regarding the use of that model and propose an improved model for determining the shading factor for VIPV.

ETA Florence
Affordable and clean energy
Openalex Percentile: Top 8%
Electric Vehicles and Infrastructure
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