Improving the Comprehensive Modeling Framework for Energy Yield Simulations of Various Novel Photovoltaic Systems

Journal Article (2026)
Author(s)

Youri Blom (TU Delft - Photovoltaic Materials and Devices)

Malte Ruben Vogt (TU Delft - Photovoltaic Materials and Devices)

Olindo Isabella (TU Delft - Photovoltaic Materials and Devices)

Rudi Santbergen (TU Delft - Photovoltaic Materials and Devices)

Research Group
Photovoltaic Materials and Devices
DOI related publication
https://doi.org/10.1002/adts.202501793 Final published version
More Info
expand_more
Publication Year
2026
Language
English
Research Group
Photovoltaic Materials and Devices
Journal title
Advanced Theory and Simulations
Issue number
5
Volume number
9
Article number
e01793
Downloads counter
12
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Advanced and emerging photovoltaic (PV) technologies play a crucial role in meeting the increasing global energy demand sustainably. Simulations are essential for predicting system behavior and improving our understanding of complex PV architectures. This work extends an existing modeling framework designed for novel PV systems, offering a modular and flexible workflow suitable for diverse research applications. The framework computes PV performance from first-principles physics, removing the need for module datasheets. It comprises two pre-processing steps and six simulation steps. The first steps determine the optical behavior of the modules, followed by irradiance modeling and temperature calculations. The final steps evaluate the electrical characteristics and the conversion to alternating current at the full-system level. The framework incorporates detailed energy loss analysis and includes advanced features such as partial shading, reverse-bias effects, and photon recycling. Two applications demonstrate its capabilities: comparing module configurations in urban settings and optimizing multi-junction PV system design. Results show that Smart modules enhance shade resilience, delivering approximately (Formula presented.) higher energy yields. Additionally, the optimal perovskite bandgap for perovskite/silicon tandem devices is found to be 1.60–1.62 eV. These outcomes highlight the framework's value for future PV system research and development. The developed software can be found at: https://github.com/YBlom1999/PVMD_Toolbox.