Sun, wind and water flow as energy supply for small stationary data acquisition platforms

Morais, Raul; Matos, Samuel G.; Fernandes, Miguel; Valente, António; Soares, Salviano; Ferreira, Paulo J. S. G.; Reis, Manuel J. C. S.

doi:10.1016/j.compag.2008.04.005

Cited by 117 publications

(60 citation statements)

References 18 publications

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“…More importantly, our scheduling algorithm (including power management) can ensure the sustainable operation of the system. In fact, there is an increasing interest in developing more efficient water flow energy harvester [Pobering and Schwesinger 2008;Hoffmann et al 2013;Morais et al 2008]. In addition, optimization for energy harvesting networks is an emerging hot research area [Sudevalayam and Kulkarni 2011;Gu and He 2010;Huang and Neely 2013;Yang et al 2013;Liu et al 2011;Liu et al 2010].…”

Section: Related Workmentioning

confidence: 99%

Reliability or Sustainability

Kartakis

Yang

McCann

2017

ACM Trans. Sen. Netw.

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As a typical Cyber-Physical System (CPS), smart water distribution networks require monitoring of underground water pipes with high sample rates for precise data analysis and water network control. Due to poor underground wireless channel quality and long-range communication requirements, high transmission power is typically adopted to communicate high-speed sensor data streams; posing challenges for long term sustainable monitoring. In this paper, we develop the first sustainable water sensing system, exploiting energy harvesting opportunities from water flows. Our system does this by scheduling the transmission of a subset of the data streams, while other correlated streams are estimated using auto-regressive models based on the sound-velocity propagation of pressure signals inside water networks. To compute the optimal scheduling policy, we formalize a stochastic optimization problem to maximize the estimation reliability, while ensuring the systems sustainable operation under dynamic conditions. We develop Data Transmission Scheduling (DTS), an asymptotically optimal scheme; and FAST-DTS, a lightweight online algorithm that can adapt to arbitrary energy and correlation dynamics. Using over 170 days of real data from our smart water system deployment and conducting in-vitro experiments to our small-scale testbed; our evaluation demonstrates that Fast-DTS significantly outperforms three alternatives, considering data reliability, energy utilization, and sustainable operation.

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Section: Related Workmentioning

confidence: 99%

Reliability or Sustainability

Kartakis

Yang

McCann

2017

ACM Trans. Sen. Netw.

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“…al. [3] "Energy Storage Systems for Transport and Grid Applications", in this ESSs are the key enabling technologies for transport and utility applications. In particular, the proliferation of energy storage will enable the integration and dispatch of renewable generation and will facilitate the emergence of smarter grids with less reliance on inefficient peak power plants.…”

Section: Literature Surveymentioning

confidence: 99%

“…Secondary batteries, super capacitors also known as "electrochemical double-layer capacitors" (EDLC), or "ultra capacitors," offer higher power density and increased cycle life (of the order of 106 cycles) but have a considerably lower energy density [3]. Super capacitors currently find use as short-term power buffers or secondary energy storage devices in renewable energy [4], [5], power systems [6], and transport applications.…”

Section: Introductionmentioning

confidence: 99%

A Review-on Analysis of Battery Lifetime Extension in Small-Scale Wind-Energy System using Super capacitors

Kumar¹,

Pahariya²

2017

International Advanced Research Journal in Science, Engineering

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Abstract:Energy storage systems (ESSs) are enabling technologies for well-established and new applications such as power peak shaving, electric vehicles, integration of renewable energies, etc. With the increasing penetration of wind power into electric power grids, energy storage devices will be required to dynamically match the intermittency of wind energy. Energy-storage devices charge during low power demands and discharge during high power demands, acting as catalysts to provide energy boost. Batteries are the primary energy-storage devices in ground vehicles. Increasing the all-electric range of vehicles by 15% almost doubles the incremental cost of the energy-storage system. Due to the variable characteristics of renewable generation, batteries used in renewable-power systems can undergo many irregular, partial charge/discharge cycles. In turn, this can also have a detrimental effect on battery lifetime. Energy storage system in wind power system is required to deal with the difference of power between generator side and load side.

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“…We consider two major modifications to a conventional wireless sensor network node: (1) removing the battery and (2) attaching an energy scavenging device, e.g., a solar panel, wind turbine, water turbine, or piezoelectric device [18]. Our design relies on nonvolatile memory to save states between active intervals.…”

Section: Energy Scavenging Devicesmentioning

confidence: 99%

“…The activity rate P active of a sensor node is the probability of it having sufficient power to compute and transmit data [18]. If a sensor node is powered by a wind turbine, it will only be activated when the wind speed exceeds a threshold value providing enough power.…”

Section: Precomputed Informationmentioning

confidence: 99%

Spatially- and temporally-adaptive communication protocols for zero-maintenance sensor networks relying on opportunistic energy scavenging

Dick

Joseph

2012

Proceedings of the Eighth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

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Wireless sensor networks allow scientists to gather data from remote, difficult to access, and dangerous locations. However, maintenance of aging networks and removal of obsolete or inactive nodes containing toxic materials is expensive and time consuming. Moreover, node lifespan is generally constrained by the reliability of the batteries used in most deployments, especially in the presence of extreme variation in environmental conditions such as temperature and humidity. We consider the problem of designing wireless sensor networks capable of indefinite deployment periods measured in decades, not months. We describe the architectural and capability implications of eliminating batteries from sensor networks and instead relying on opportunistic energy scavenging. Sensor nodes using ambient energy sources become temporarily active at unpredictable but possibly correlated times. In this paper, we use wind power as an example of such a power source, which we model using temporally and spatially correlated random processes. Such models can be built using historical measurements over a geographical range. We describe a method to use energy models in the design of latency-optimized and cost-constrained battery-less wireless sensor networks, and explain the required changes to network architecture, communication protocol, and node hardware. In the context of environmental monitoring applications, we compare the performance of a network designed and managed using our techniques with that of existing design styles.

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Sun, wind and water flow as energy supply for small stationary data acquisition platforms

Cited by 117 publications

References 18 publications

Reliability or Sustainability

Reliability or Sustainability

A Review-on Analysis of Battery Lifetime Extension in Small-Scale Wind-Energy System using Super capacitors

Spatially- and temporally-adaptive communication protocols for zero-maintenance sensor networks relying on opportunistic energy scavenging

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