An electroactive polymer energy harvester for wireless sensor networks

نویسندگان

  • T. G. McKay
  • S. Rosset
  • I. A. Anderson
چکیده

This paper reports the design, fabrication, and testing of a soft electroactive polymer power generator that has a volume of 1cm. The generator provides an opportunity to harvest energy from environmental sources to power wireless sensor networks because it can harvest from low frequency motions, is compact, and lightweight. Electroactive polymers are highly stretchable variable capacitors. Electrical energy is produced when the deformation of a stretched, charged electroactive polymer is relaxed; likecharges are compressed together and opposite-charges are pushed apart, resulting in an increased voltage. Although electroactive polymers have impressively displayed energy densities as high as 550 mJ/g, they have been based on films with thicknesses of tens to hundreds of micrometers, thus a generator covering a large area would be required to provide useful power. Energy harvesters covering large areas are inconvenient to deploy in a wireless sensor network with a large number of nodes, so a generator that is compact in all three dimensions is required. In this work we fabricated a generator that can fit within a 11x11x9 mm envelope by stacking 42, 11mm diameter generator films on top of each other. When compressed cyclically at a rate of 0.5 Hz our generator produced 300 uW of power which is a sufficient amount of power for a low power wireless sensor node. The combination of our generator’s small form factor and ability to harvest useful energy from low frequency motions provides an opportunity to deploy large numbers of wireless sensor nodes without the need for periodic, costly battery replacement. With applications such as sensors monitoring the health of a building or transducers to monitor wildlife populations, wireless sensor networks provide an opportunity to obtain an enhanced awareness of both our local and remote environments. The major advantage of a wireless sensor network is that the cost and inconvenience of wiring between nodes is eliminated [1, 2]. The advantages of wireless sensor networks can be offset if frequent battery replacement is required. One solution is to integrate a compact energy harvester into the wireless sensor nodes. If hundreds or thousands of sensor nodes are to be deployed, energy harvesting devices become impractical if they are too large, thus there is a drive for energy harvesters that fit within a 1 cm envelope [3]. Dielectric elastomers (DE), a class of electroactive polymers, are highly deformable variable capacitors that show great promise for sub-cm scale energy harvesters. Electrical energy is produced when the deformation of a stretched, charged DE is relaxed; like-charges are compressed together and opposite-charges are pushed apart, resulting in an increased voltage (see Figure 1). DE lend themselves well to low complexity, small-scale energy harvesters because the energy harvesting mechanism is theoretically scale invariant, they can be directly coupled to rectilinear motions [4], they can produce high energy densities [5, 6], and can harvest energy efficiently from a wide range of frequencies. PowerMEMS 2013 IOP Publishing Journal of Physics: Conference Series 476 (2013) 012117 doi:10.1088/1742-6596/476/1/012117 Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd 1 Figure 1: The DE energy harvesting cycle. 1) Mechanical energy is used to stretch the generator; 2) The generator is electrically charged; 3) the generator is mechanically relaxed which pushes opposite charges apart and compresses like charges together, this action boosts the electrical energy of the charges; 4) the charges are extracted in this higher energy state. Although DE have displayed energy densities as high as 550 mJ/g [5], they have been based on films with thicknesses of tens to hundreds of micrometers [4-6], thus a generator covering a large area would be required to provide useful power. Furthermore, the thin film structures often require additional rigid frames to maintain their desired shape. The framing reduces the generator’s energy density, deformability, simplicity, and introduces potentially catastrophic stress concentrations. In this paper we present a stacked membrane generator configuration which allows self-supporting generators to be fabricated that do not require rigid frames. The stacked configuration also allows a large quantity of generator material to be fabricated onto a much smaller footprint than that achievable using a single thin membrane. Our generator consisted of 42, 40 um thick, 11mm diameter DE layers stacked on top of each other and electrically connected in parallel. The generator stack was then sandwiched between 3mm thick silicone end caps (see Figure 2). The end caps were included because the most convenient mechanism for coupling a stack to a load is to adhere the ends of the stack between two structures. The constrained ends do not deform as much as the center of the stack. And as described in Figure 1, the generator harvests energy by displacing electrical charges using mechanical deformation. Thus, the constrained end-cap regions would not provide much additional energy. In-fact, if the end-caps were substituted for DE layers, they would reduce the overall proportional change of the generator’s capacitance, which could reduce energy production [7]. Figure 2: The stack DE generator is coupled to a mechanical energy source by adhering its ends between two bodies that move relative to each other. The active generator zone is deformed when the stack is compressed. The end caps do not deform as much as the the active zone because of the fixed boundary condition between the generator stack and the mechanical energy source. PowerMEMS 2013 IOP Publishing Journal of Physics: Conference Series 476 (2013) 012117 doi:10.1088/1742-6596/476/1/012117

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

HYREP: A Hybrid Low-Power Protocol for Wireless Sensor Networks

In this paper, a new hybrid routing protocol is presented for low power Wireless Sensor Networks (WSNs). The new system uses an integrated piezoelectric energy harvester to increase the network lifetime. Power dissipation is one of the most important factors affecting lifetime of a WSN. An innovative cluster head selection technique using Cuckoo optimization algorithm has been used in the desig...

متن کامل

Improving Energy Consumption by Using Cluster Based Routing Algorithm in Wireless Sensor Networks

Multi-path is favorite alternative for sensor networks, as it provides an easy mechanism to distributetraffic, as well as considerate fault tolerance. In this paper, a new clustering based multi path routingprotocol namely ECRR (Energy efficient Cluster based Routing algorithm for improving Reliability) isproposed, which is a new routing algorithm and guarantees the achievement to required QoS ...

متن کامل

Autonomous Wireless Heat Energy Meter based on Piezoelectric Energy Harvester for Heat Energy Measurement in Building Complexes

This paper presents a platform for power autonomous wireless energy meter device using piezoelectric energy harvesters. This device can be mainly used for measuring the share of heat energy consumption in a fair manner in building complex with central heat energy system. In the suggested device, the piezoelectric energy harvester is also used as a flow-meter to reduce the power consumption of t...

متن کامل

An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...

متن کامل

An Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks

LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...

متن کامل

Toward an energy efficient PKC-based key management system for wireless sensor networks

Due to wireless nature and hostile environment, providing of security is a critical and vital task in wireless sensor networks (WSNs). It is known that key management is an integral part of a secure network. Unfortunately, in most of the previous methods, security is compromised in favor of reducing energy consumption. Consequently, they lack perfect resilience and are not fit for applications ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013