A Comprehensive Review on Sustainable Triboelectric Energy Harvesting Using Biowaste-Derived Materials

The growing demand for sustainable and distributed energy solutions has driven increasing interest in triboelectric nanogenerators (TENGs) as platforms for energy harvesting and self-powered sensing. Biowaste-based triboelectric nanogenerators (BW-TENGs) represent an attractive strategy by coupling renewable energy generation with waste valorization under the principles of the circular bioeconomy. This review provides a comprehensive overview of BW-TENGs, encompassing fundamental triboelectric mechanisms, material categories, processing and surface-engineering strategies, device architectures, and performance evaluation metrics. A broad spectrum of biowaste resources-including agricultural residues, food and marine waste, medical plastics, pharmaceutical waste, and plant biomass-is critically assessed in terms of physicochemical properties, triboelectric behavior, biodegradability, biocompatibility, and scalability. Recent advances demonstrate that BW-TENGs can achieve electrical outputs comparable to conventional synthetic polymer TENGs while offering additional advantages such as environmental sustainability, mechanical compliance, and multifunctionality. Key application areas, including environmental monitoring, smart agriculture, wearable and implantable bioelectronics, IoT networks, and waste management systems, are highlighted. The review also discusses major challenges limiting large-scale deployment, such as material heterogeneity, environmental stability, durability, and lack of standardization, and outlines emerging solutions involving material engineering, hybrid energy-harvesting architectures, artificial intelligence-assisted optimization, and life cycle assessment frameworks.

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Publication Details

Journal
Materials
Published
2026-02-03
DOI
https://doi.org/10.3390/ma19030592
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

A Comprehensive Review on Sustainable Triboelectric Energy Harvesting Using Biowaste-Derived Materials

Wajid Ali, Shahzad Iqbal, Farid Akhtar, Woo Young Kim et al.
Materials
Advanced Sensor and Energy Harvesting Materials
article

A Comprehensive Review on Sustainable Triboelectric Energy Harvesting Using Biowaste-Derived Materials

Wajid Ali, Shahzad Iqbal, Farid Akhtar, Woo Young Kim, Tabinda Shabir, Syed Adil Sardar
article en

Abstract

The growing demand for sustainable and distributed energy solutions has driven increasing interest in triboelectric nanogenerators (TENGs) as platforms for energy harvesting and self-powered sensing. Biowaste-based triboelectric nanogenerators (BW-TENGs) represent an attractive strategy by coupling renewable energy generation with waste valorization under the principles of the circular bioeconomy. This review provides a comprehensive overview of BW-TENGs, encompassing fundamental triboelectric mechanisms, material categories, processing and surface-engineering strategies, device architectures, and performance evaluation metrics. A broad spectrum of biowaste resources-including agricultural residues, food and marine waste, medical plastics, pharmaceutical waste, and plant biomass-is critically assessed in terms of physicochemical properties, triboelectric behavior, biodegradability, biocompatibility, and scalability. Recent advances demonstrate that BW-TENGs can achieve electrical outputs comparable to conventional synthetic polymer TENGs while offering additional advantages such as environmental sustainability, mechanical compliance, and multifunctionality. Key application areas, including environmental monitoring, smart agriculture, wearable and implantable bioelectronics, IoT networks, and waste management systems, are highlighted. The review also discusses major challenges limiting large-scale deployment, such as material heterogeneity, environmental stability, durability, and lack of standardization, and outlines emerging solutions involving material engineering, hybrid energy-harvesting architectures, artificial intelligence-assisted optimization, and life cycle assessment frameworks.

MaterialsVol. 19(3)
Jeju National University (KR)
Openalex Percentile: Top 69%
Advanced Sensor and Energy Harvesting Materials
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