Physics-based modeling · Data · Validation
Simulation &
Digital Twins
From material and module behavior to system-level performance under real-world conditions. I develop and apply advanced simulation models to predict losses, compare designs, diagnose performance and translate physical behavior into better PV products and systems.
Electrical / SPICE model
Thermal & loss mechanisms
Module / system configuration
Scenario engine
From Physics to Product Decisions
A digital twin is most valuable when it helps answer practical questions before expensive prototypes, field trials or product changes are made. My simulation work connects material properties and module architecture with real operating environments and measurable performance.
Material & Spectral Modeling
Spectral-dependent optical and electrical loss analysis can quantify reflected light, useful electrical output and heat generation across different material stacks and operating spectra—not only at STC.
Module & System Digital Twins
Physics-based models represent interconnections, cell layouts, bypass concepts, module construction and operating conditions so alternative product concepts can be compared virtually before or alongside testing.
Scenario & Yield Simulation
Site- and application-specific simulations evaluate how designs behave under shading, vertical bifacial operation, desert stressors and other non-standard conditions, turning technical differences into energy-yield and business impact.
Research Foundations
Selected peer-reviewed work showing how simulation has been used across my research—from material-level optical and electrical losses to desert module optimization and application-specific digital twins.
A practical optical and electrical model to estimate PV module power losses and heat sources
A spectral-dependent simulation framework for separating optical reflection, electrical output and heat generation at module/material-stack level. The approach supports evaluation under defined spectra and different bills of materials.
View publication →Loss analysis and optimization for higher desert energy yield and service life
Simulation and experimental analysis were combined to optimize cells, glass/coatings, encapsulation and module design for harsh desert environments, connecting component choices with output power, degradation risks and lifetime performance.
View publication →Digital twin for vertical bifacial PV and self-shading
A Python–SPICE simulation model evaluates shading from junction boxes, cables and frames in vertical bifacial modules. It compares a redesigned module against a standard half-cell architecture and predicts location-dependent energy-yield impact.
View publication →Digital-twin thinking for segmented modules and partial shading
The same methodology extends naturally to segmented and shade-resistant PV: represent electrical topology, shaded cells or groups, bypass behavior and environmental scenarios, then predict module/system response before validating it with indoor and outdoor measurements.
Explore related research →Simulation as a bridge between R&D and commercialization
Used correctly, digital twins reduce iteration time, reveal loss mechanisms, support application-oriented design and help technical teams, product management and customers understand what a PV product is expected to do under the conditions that matter.
Discuss a simulation or digital-twin project