首页> 外文会议>61st Electronic Components Technology Conference, 2011 >Modeling and optimization of energy harvesting-systems under non-ideal operating temperatures with regard to availability of power-supply and reduction of environmental impacts
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Modeling and optimization of energy harvesting-systems under non-ideal operating temperatures with regard to availability of power-supply and reduction of environmental impacts

机译:关于非理想工作温度下的能量收集系统的建模和优化,涉及电源的可用性和减少环境影响

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The interest in micro systems integrating own power conversion units using energy from the surrounding environment is steadily growing. Main application fields can be found in industry because of the chance to save significant maintenance costs due to extended system lifetime without the need to change batteries on a regular basis. Moreover, reduction of battery use in wireless application is desired from an environmental point of view. Recent studies at Technical University of Berlin and Fraunhofer IZM focus on the design of condition monitoring systems for industrial applications. Within the frame of the project ‘ECoMoS’ (Energy-autarkic condition monitoring system) a sensor network of self-sufficient micro systems is currently developed for condition monitoring purposes of machine parts in paper plants. Focus of this paper is the development of a system-oriented model of the energy conversion chain. Optimization of energy flows is a prerequisite in order to achieve a high degree of miniaturization and efficient use of materials implemented. The modeling framework proposed in this paper allows simulation of the available power on a modular, expandable basis. The parameterized sub-models allow variation of parameter sets gained from measurements even under non-ideal operation conditions, e.g. elevated temperatures. As thermal gradients provide useful energy sources in industrial environments, e.g. a paper mill, system setup and physical modeling of a thermoelectric converter are described exemplarily. Simulation of energy flows of real load profiles using Matlab/Simulink will be presented. The proposed system setup will then be evaluated by an environmental analysis of the materials contained.
机译:使用来自周围环境的能量集成自己的功率转换单元的微系统的兴趣正在稳步增长。由于可以延长系统使用寿命,而无需定期更换电池,因此有机会节省大量维护成本,因此可以在工业上找到主要的应用领域。此外,从环境的角度来看,期望减少无线应用中的电池使用。柏林工业大学和Fraunhofer IZM最近的研究集中在工业应用状态监测系统的设计上。在“ ECoMoS”(能源-自动状态监测系统)项目的框架内,目前正在开发一种自给自足的微型系统的传感器网络,用于造纸厂中机器部件的状态监测。本文的重点是开发能量转换链的面向系统的模型。为了实现高度的小型化和有效利用已实现的材料,优化能量流是前提条件。本文提出的建模框架允许在模块化,可扩展的基础上对可用功率进行仿真。参数化的子模型甚至在非理想的操作条件下(例如,在非理想的操作条件下)也允许从测量获得的参数集变化。高温。由于热梯度在工业环境中提供了有用的能源,例如在造纸厂中,示例性地描述了热电转换器的系统设置和物理建模。将介绍使用Matlab / Simulink进行的实际载荷分布的能量流仿真。然后,将通过对所含材料的环境分析来评估建议的系统设置。

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