(Peer-Reviewed) Solar cell-based hybrid energy harvesters towards sustainability
Tianxiao Xiao 肖天笑 ¹, Suo Tu 涂梭 ¹, Suzhe Liang 梁苏哲 ¹, Renjun Guo 郭任君 ¹, Ting Tian 田婷 ¹, Peter Müller-Buschbaum ¹ ²
¹ Chair for Functional Materials, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany
² Heinz Maier-Leibniz Zentrum (MLZ), Technical University of Munich, Lichtenbergstraße 1, 85748 Garching, Germany
Opto-Electronic Science, 2023-09-07
Abstract
Energy harvesting plays a crucial role in modern society. In the past years, solar energy, owing to its renewable, green, and infinite attributes, has attracted increasing attention across a broad range of applications from small-scale wearable electronics to large-scale energy powering. However, the utility of solar cells in providing a stable power supply for various electrical appliances in practical applications is restricted by weather conditions.
To address this issue, researchers have made many efforts to integrate solar cells with other types of energy harvesters, thus developing hybrid energy harvesters (HEHs), which can harvest energy from the ambient environment via different working mechanisms. In this review, four categories of energy harvesters including solar cells, triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and thermoelectric generators (TEGs) are introduced.
In addition, we systematically summarize the recent progress in solar cell-based hybrid energy harvesters (SCHEHs) with a focus on their structure designs and the corresponding applications. Three hybridization designs through unique combinations of TENG, PENG, and TEG with solar cells are elaborated in detail. Finally, the main challenges and perspectives for the future development of SCHEHs are discussed.
Heterogeneously integrated micro-ring with SnS₂ for dual-functional optical modulation and photodetection
Jinyi Du, Lidan Lu, Xu Zhang, Bofei Zhu, Wenbo Bo, Yingjie Xu, Guang Chen, Yanlin He, Guanghui Ren, Xiaoping Lou, Zheng You, Lianqing Zhu
Opto-Electronic Advances
2026-08-25
Hardware-aware lightweight photonic spiking neural network for pattern classification
Shuiying Xiang, Yahui Zhang, Shangxuan Shi, Haowen Zhao, Dianzhuang Zheng, Xingxing Guo, Yanan Han, Ye Tian, Liyue Zhang, Yuechun Shi, Yue Hao
Opto-Electronic Advances
2026-08-25
PhyspeNet: An empirical physics-aware network for adaptive speckle reconstructive spectrometry
Junrui Liang, Min Jiang, Jun Li, Zhongming Huang, Junhong He, Yanting Guo, Yanzhao Ke, Jun Ye, Jiangming Xu, Jinyong Leng, Pu Zhou
Opto-Electronic Advances
2026-08-25
A 36 × 240 Gbps hybrid mode/wavelength division multiplexing transmitter using lithium niobate on insulator
Mingyu Zhu, Weihan Wang, Ruitao Ma, Aoyun Gao, Chun Gao, Zexu Wang, Fei Huang, Zhenyuan Bao, Dajian Liu, Jiaxuan Gan, Zejie Yu, Huan Li, Weike Zhao, Daoxin Dai
Opto-Electronic Advances
2026-08-25
Light-perception-based interactive control of an underwater digital twin hand
Jinlong Lu, Chao Zhang, Hengchang Nong, Dongying Wang, Hongyu Zhou, Junjie Weng, Yuehua Deng, Yang Yu, Qiang Bian, Jianfa Zhang, Chaofan Zhang, Zhenrong Zhang, Junbo Yang
Opto-Electronic Advances
2026-07-10