The Synergy Potential of Energy and Agriculture—The Main Directions of Development

Energies, Год журнала: 2025, Номер 18(5), С. 1031 - 1031

Опубликована: Фев. 20, 2025

The development of renewable energy is increasingly blurring the line between and agricultural sectors. Decarbonizing agriculture essential for sustainable principles. This can be achieved in essentially two following ways: by reducing fuel consumption making livestock sector more efficient. review sets out options contributing to these elements. stage a smoother synergy process, whereby waste generated fully utilized strengthen farms. In conducting review, methods scientific induction deduction were used. One key elements recycling into biomethane. biomethane turn used as tractors means providing production or biogas lead decentralization system, with farms becoming less completely independent from external supplies. At same time, synergies other forms are being created. These make it possible increase income adding new activity supplying consumers.

Язык: Английский

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Enhanced Energy Harvesting through Lubricant-Water Interaction on a Superoleophobic Stainless Steel@Cellulose Ester Nanogenerator

Nano Energy, Год журнала: 2025, Номер unknown, С. 110958 - 110958

Опубликована: Апрель 1, 2025

Язык: Английский

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Structural design strategies of triboelectric nanogenerators for omnidirectional wind energy harvesting

Micro and Nano Systems Letters, Год журнала: 2025, Номер 13(1)

Опубликована: Апрель 12, 2025

Abstract Omnidirectional wind energy harvesting has gained increasing attention as a means of harnessing the inherently variable and multidirectional flows encountered in real-world environments. Triboelectric nanogenerators (TENGs), which leverage contact electrification electrostatic induction to convert mechanical motion into electrical power, are particularly well-suited for such applications due their ability operate effectively under low-speed intermittent conditions. In this review, we first outline fundamental triboelectric processes operating modes that underpin TENG functionality, emphasizing how low inertia high-voltage outputs make them compatible with wide range profiles. We then discuss three predominant device classifications—rotary, aeroelastic, rolling-based—highlighting distinct configurations capacities omnidirectional capture. Key examples illustrate strategically designed rotor geometries, flutter-driven films, rolling elements can maximize contact–separation events enhance generation complex airflow patterns. Finally, examine major obstacles faced by TENG-based harvesters, including durability, hybrid system design, intelligent power management. Strategies overcome these barriers involve wear-resistant materials, adaptive architectures, advanced circuitry, offering solutions feasible micro- or off-grid scenarios.

Язык: Английский

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Machine Learning Enhanced Self‐Charging Power Sources

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Май 5, 2025

Abstract The widespread deployment of Internet Things (IoT) networks has actualized omnipresent device interconnectivity. Despite technological advancements, IoT edge devices suffer persistent energy bottlenecks from suboptimal coordination power acquisition and adaptive management. Self‐charging sources (SCPS) aim to achieve autonomous operation through monolithic integration three core components: harvesters, management circuits, supercapacitors/batteries. These enable continuous ambient harvesting, providing uninterrupted supply for wearable electronics applications. Nevertheless, material selection component design remain key challenges in SCPS development. As an essential artificial intelligence paradigm, machine learning (ML) enables data‐driven structural based on historical experimental datasets, thereby elevating performance superior level. This paper reviews the development SCPSs application ML SCPSs, with a particular focus triboelectric nanogenerators (TENGs) supercapacitors (SCs). A generalized workflow suggested parameters is proposed guide prediction TENG by incorporating previous theoretical research. Additionally, ML‐guided carbon‐based SC materials computer‐aided suppression self‐discharge are selected as typical examples discuss. combination expected push forward more efficient self‐sufficient

Язык: Английский

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Breakthroughs and challenges in cylindrical TENGs toward high-efficiency harvesting high-entropy energy

Nano Energy, Год журнала: 2025, Номер unknown, С. 111138 - 111138

Опубликована: Май 1, 2025

Язык: Английский

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