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

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 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 .

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Publication Details

Journal
Advanced Theory and Simulations
Published
2026-05-01
DOI
https://doi.org/10.1002/adts.202501793
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

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

Youri Blom, Olindo Isabella, Malte Ruben Vogt, Rudi Santbergen
Advanced Theory and Simulations
Photovoltaic System Optimization Techniques
article

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

Youri Blom, Olindo Isabella, Malte Ruben Vogt, Rudi Santbergen
article en

Abstract

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 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 .

Advanced Theory and SimulationsVol. 9(5)
Delft University of Technology (NL)
Openalex Percentile: Top 19%
Photovoltaic System Optimization Techniques
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Improving the Comprehensive Modeling Framework for Energy Yield Simulations of Various Novel Photovoltaic Systems — Youri Blom, Olindo Isabella, et al. · Advanced Theory and Simulations (2026) | TGRS Research Map | TGRS