Self-Supplying Photovoltaic–Hygroelectric Coupling System Powering Internet of Things Sensors

物联网 光伏系统 联轴节(管道) 电气工程 汽车工程 业务 电信 环境科学 计算机科学 工程类 嵌入式系统 机械工程
作者
Changbao Xu,X. Zhang,Jiahao Fang,Yuming Yao,Yong Zhang,Xulei Lu,Tingting Yang,Mingyong Xin
出处
期刊:ACS omega [American Chemical Society]
卷期号:9 (41): 42602-42611
标识
DOI:10.1021/acsomega.4c07849
摘要

The rapid advancement in the Internet of Things (IoT) has prompted a proliferation of sensor applications with increasing focus on harnessing environmental energy sources for powering these sensors. However, owing to the variability inherent in climatic and geographic conditions, a singular approach to environmental energy harvesting often fails to deliver sustainable and reliable power. Hygroelectric technology, leveraging the electrical coupling between nanostructured materials and water to convert moisture-derived energy into electricity, complements the advantages of light energy collection technology. In this study, an ion diode moisture-based power generation array was fabricated to yield an open-circuit voltage of 8 V and a short-circuit current of 3 mA under an 86.9% relative humidity (RH). Subsequently, integration of a photovoltaic module with the hygroelectric generator assembly via an energy management circuit augmented the system's overall power generation, manifesting a remarkable 1150% increase over the original moisture-based power generation configuration. Furthermore, the incorporation of such a hybridized system bolstered the operational efficiency, extending the duration of continuous power supply cycles by up to 78.2% in comparison with the control group with no moisture-derived energy input. This pioneering endeavor unveils a novel light-moisture coupling energy-harvesting paradigm tailored for sustaining uninterrupted power provision in wireless sensor network nodes, and the harvesting of one energy source is not affected by the other energy source at all. With its inherent adaptability, this approach holds promise for deployment in outdoor environments characterized by low illumination levels and high humidity, presenting a versatile solution to address sensor powering challenges.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
852应助大胆代桃采纳,获得10
刚刚
1秒前
落寞怜雪发布了新的文献求助10
2秒前
2秒前
3秒前
徐星军发布了新的文献求助30
4秒前
remind发布了新的文献求助10
4秒前
墩墩发布了新的文献求助10
6秒前
wh发布了新的文献求助10
6秒前
nav发布了新的文献求助10
7秒前
妩媚的妙海完成签到,获得积分20
8秒前
8秒前
科研通AI2S应助huanhuan采纳,获得10
8秒前
科研通AI2S应助嗯嗯嗯采纳,获得10
9秒前
科研通AI2S应助积极荠采纳,获得10
9秒前
eli完成签到,获得积分10
9秒前
10秒前
昏睡的芾发布了新的文献求助10
11秒前
跳跃火车完成签到,获得积分10
11秒前
朱大大666完成签到,获得积分10
12秒前
蝎子莱莱发布了新的文献求助10
13秒前
米呀呀呀呀呀呀完成签到,获得积分10
13秒前
14秒前
妩媚的妙海关注了科研通微信公众号
18秒前
诚c发布了新的文献求助10
18秒前
Wendy含完成签到,获得积分10
18秒前
共享精神应助elfff采纳,获得10
19秒前
19秒前
huanhuan完成签到,获得积分10
19秒前
19秒前
蜻蜓发布了新的文献求助10
22秒前
22秒前
22秒前
山与月齐完成签到,获得积分10
23秒前
善学以致用应助徐星军采纳,获得10
23秒前
23秒前
沐晴发布了新的文献求助10
24秒前
昏睡的芾完成签到,获得积分10
25秒前
zsq完成签到,获得积分10
25秒前
万能图书馆应助梅津津采纳,获得10
26秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157968
求助须知:如何正确求助?哪些是违规求助? 2809296
关于积分的说明 7881421
捐赠科研通 2467814
什么是DOI,文献DOI怎么找? 1313728
科研通“疑难数据库(出版商)”最低求助积分说明 630502
版权声明 601943