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Thermal Energy Harvesting Between the Air/Water Interface for Powering Wireless Sensor Nodes

机译:用于供电无线传感器节点的空气/水接口之间的热能收获

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Seventy percent of the Earth's surface is covered by water and all living things are dependent upon this resource. Assuch there are many applications for monitoring environmental data in and around aquatic environments. Wireless sensornetworks are poised to revolutionise this process as the reduction in size and power consumption of electronics areopening up many new possibilities for these networks. Aquatic sensor nodes are usually battery powered, so as sensornetworks increase in number and size, replacement of depleted batteries becomes time consuming, wasteful and in somecases unfeasible. Additionally, a battery that is large enough to last the life of a sensor node would dominate the overallsize of the node, and thus would not be very attractive or practical. As a result, there is a clear need to explore novelalternatives to power sensor nodes/networks, as existing battery technology hinders the widespread deployment of thesenetworks. By harvesting energy from their local environment, sensor networks can achieve much greater run-times, yearsnot months, with potentially lower cost and weight. A potential renewable energy source in aquatic environments existsvia the temperature gradient present between the water layer and ambient air. A body of water will be either a fewdegrees warmer or colder than the air directly above it dependant on its latitude, time of year and time of day. Byincorporating a thermal energy harvesting device into the sensor node deployment which promotes the flow of heatenergy across the thermal gradient, a portion of the energy flow can be converted into useable power for the sensor node.To further increase this temperature difference during the day the top section can be heated to temperatures above theambient air temperature by absorbing the incoming sunlight. As an initial exploration into the potential of this novelpower source we have developed a model of the process. By inputting environmental data, the model calculates thepower which can be extracted by a thermal energy harvesting device. Initial outputs show a possibility of up to 10W/m2of power available from measured sites assuming a thermal energy harvester operating with Carnot efficiency.
机译:百分之七十的地球表面被水覆盖,所有生物都依赖于这种资源。 ASSUCH有许多应用程序在水生环境中监测环境数据。无线Sensornetworks准备彻底改变这一过程,因为电子设备的尺寸和功耗降低,均匀地占据了这些网络的许多新的可能性。水生传感器节点通常是电池供电,所以随着SensornetWorks的数量和尺寸增加,耗尽电池的替换变得耗时,浪费,浪费,在某个时期不可行。另外,足够大的电池持续到传感器节点的寿命将主导节点的整体化,因此不会非常有吸引力或实用。因此,随着现有电池技术阻碍了这款电池技术的广泛部署,显然需要探索电源传感器节点/网络的新替代。通过从当地环境中收获能量,传感器网络可以实现更大的运行时间,长时间,具有潜在的成本和重量。水生环境中的潜在可再生能源存在于水层和环境空气之间存在的温度梯度。一体的水将比直接在其依赖于其纬度,一年中的时间和时间的纬度较高的空气。通过将热能收集装置进入传感器节点展开,该传感器节点展开,该传感器节点展开在热梯度上促进加热器的流动,可以将一部分能量流转换为传感器节点的可用电力。为了进一步提高该一天的温差通过吸收进入的阳光,可以将部分加热至最高透射气温的温度。作为初步探索这一新推出源的潜力,我们已经制定了该过程的模型。通过输入环境数据,模型计算可以通过热能收集装置提取的动力。初始输出显示出可从测量部位可用的功率高达10W / M2,假设热能收割机运行的热能收割机效率。

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