Genetic algorithm-driven design of a spectral-splitting filter for a high-efficiency hybrid photovoltaic-thermoelectric system

Hybrid photovoltaic-thermoelectric (PV-TEG) systems are a promising technology for full-spectrum solar energy utilization, but their widespread adoption is hindered by the high cost of spectral-splitting filters and the limitations of previous evaluation benchmarks. Prior studies have often employed temperature-sensitive silicon PV cells with weak absorptivity, leading to skewed performance comparisons under concentrated sunlight. To address these barriers, this study utilizes genetic algorithm (GA) to design a low-cost, 11-layer spectral-splitting filter, which is integrated with a temperature-tolerant InGaAs PV cell suitable for concentrating applications. The performance of this hybrid system was rigorously benchmarked against standalone PV and TEG systems across a solar concentration range of 5–42 suns. The results validate the GA as an effective design tool. Experimentally, the hybrid system demonstrated a clear synergistic advantage, with a critical performance crossover identified at 36 suns, above which it outperformed the PV-only system. At the maximum tested concentration of 42 suns, the hybrid system achieved a total power output of 553.2 mW, an 8.1% improvement over the PV-only system. This enhancement is due to the TEG module converting waste heat into electricity, with its power contribution rising to 18% at high concentrations, which mitigates the PV cell's temperature-induced efficiency degradation. By combining a GA-optimized, low-cost filter with an appropriately matched PV cell, this work confirms the superior performance of the hybrid PV-TEG system in high-concentration applications and supports its feasibility for large-scale deployment. • A low-cost, 11-layer spectral splitter is designed via Genetic Algorithm. • PV-TEG-BS hybrid system with an InGaAs cell and GA-designed filter is validated. • Hybrid system surpasses PV-only system at concentrations above 36 suns. • An 8.1% power enhancement is achieved over the PV-only system at 42 suns.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-10-15
DOI
https://doi.org/10.1016/j.csite.2025.107255
Primary Topic
Plant Disease Resistance and Genetics
Type
article
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article

Genetic algorithm-driven design of a spectral-splitting filter for a high-efficiency hybrid photovoltaic-thermoelectric system

Case Studies in Thermal Engineering
Plant Disease Resistance and Genetics
article

Genetic algorithm-driven design of a spectral-splitting filter for a high-efficiency hybrid photovoltaic-thermoelectric system

article en

Abstract

Hybrid photovoltaic-thermoelectric (PV-TEG) systems are a promising technology for full-spectrum solar energy utilization, but their widespread adoption is hindered by the high cost of spectral-splitting filters and the limitations of previous evaluation benchmarks. Prior studies have often employed temperature-sensitive silicon PV cells with weak absorptivity, leading to skewed performance comparisons under concentrated sunlight. To address these barriers, this study utilizes genetic algorithm (GA) to design a low-cost, 11-layer spectral-splitting filter, which is integrated with a temperature-tolerant InGaAs PV cell suitable for concentrating applications. The performance of this hybrid system was rigorously benchmarked against standalone PV and TEG systems across a solar concentration range of 5–42 suns. The results validate the GA as an effective design tool. Experimentally, the hybrid system demonstrated a clear synergistic advantage, with a critical performance crossover identified at 36 suns, above which it outperformed the PV-only system. At the maximum tested concentration of 42 suns, the hybrid system achieved a total power output of 553.2 mW, an 8.1% improvement over the PV-only system. This enhancement is due to the TEG module converting waste heat into electricity, with its power contribution rising to 18% at high concentrations, which mitigates the PV cell's temperature-induced efficiency degradation. By combining a GA-optimized, low-cost filter with an appropriately matched PV cell, this work confirms the superior performance of the hybrid PV-TEG system in high-concentration applications and supports its feasibility for large-scale deployment. • A low-cost, 11-layer spectral splitter is designed via Genetic Algorithm. • PV-TEG-BS hybrid system with an InGaAs cell and GA-designed filter is validated. • Hybrid system surpasses PV-only system at concentrations above 36 suns. • An 8.1% power enhancement is achieved over the PV-only system at 42 suns.

Case Studies in Thermal EngineeringVol. 75
Kyushu University (JP), City University of Hong Kong (HK), Chinese University of Hong Kong, Shenzhen (CN)
Affordable and clean energy
Openalex Percentile: Top 31%
Plant Disease Resistance and Genetics
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