Harvest Energy from the Water

Author:

Chen Qi1,Liu Ye2,Liu Guangchi1,Yang Qing1ORCID,Shi Xianming3,Gao Hongwei1,Su Lu4,Li Quanlong5

Affiliation:

1. Montana State University, Bozeman, MT, USA

2. Southeast University, Nanjing, Jiangsu, P.R. China

3. Washington State University, Pullman, WA, USA

4. State University of New York at Buffalo, Buffalo, NY

5. Harbin Institute of Technology, Harbin, Heilongjiang, P.R. China

Abstract

Water quality data is incredibly important and valuable, but its acquisition is not always trivial. A promising solution is to distribute a wireless sensor network in water to measure and collect the data; however, a drawback exists in that the batteries of the system must be replaced or recharged after being exhausted. To mitigate this issue, we designed a self-sustained water quality sensing system that is powered by renewable bioenergy generated from microbial fuel cells (MFCs). MFCs collect the energy released from native magnesium oxidizing microorganisms (MOMs) that are abundant in natural waters. The proposed energy-harvesting technology is environmentally friendly and can provide maintenance-free power to sensors for several years. Despite these benefits, an MFC can only provide microwatt-level power that is not sufficient to continuously power a sensor. To address this issue, we designed a power management module to accumulate energy when the input voltage is as low as 0.33V. We also proposed a radio-frequency (RF) activation technique to remotely activate sensors that otherwise are switched off in default. With this innovative technique, a sensor’s energy consumption in sleep mode can be completely avoided. Additionally, this design can enable on-demand data acquisitions from sensors. We implement the proposed system and evaluate its performance in a stream. In 3-month field experiments, we find the system is able to reliably collect water quality data and is robust to environment changes.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

2. ALFRED;Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems;2021-11-15

3. Architecture, Security Vulnerabilities, and the Proposed Countermeasures in Agriculture-Internet-of-Things (AIoT) Systems;Studies in Big Data;2021-11-11

4. Exploring the complementary relationship between solar and hydro energy harvesting for self-powered water monitoring in low-light conditions;Environmental Modelling & Software;2021-06

5. From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges;IEEE Transactions on Industrial Informatics;2021-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3