Electronics and Biomedical Engineering Department, Universitat de Barcelona (UB), Marti i Franques, 1-11, 08028, Barcelona, Spain.
Industrial Engineering and Computer Science, Polytechnic School, University of Lleida (UdL), C. de Jaume II, 69, 25001, Lleida, Spain.
Sci Rep. 2023 Jan 30;13(1):1637. doi: 10.1038/s41598-023-28378-6.
In recent years, research on transducers and system architectures for self-powered devices has gained attention for their direct impact on the Internet of Things in terms of cost, power consumption, and environmental impact. The concept of a wireless sensor node that uses a single thermoelectric generator as a power source and as a temperature gradient sensor in an efficient and controlled manner is investigated. The purpose of the device is to collect temperature gradient data in data centres to enable the application of thermal-aware server load management algorithms. By using a maximum power point tracking algorithm, the operating point of the thermoelectric generator is kept under control while using its power-temperature transfer function to measure the temperature gradient. In this way, a more accurate measurement of the temperature gradient is achieved while harvesting energy with maximum efficiency. The results show the operation of the system through its different phases as well as demonstrate its ability to efficiently harvest energy from a temperature gradient while measuring it. With this system architecture, temperature gradients can be measured with a maximum error of 0.14 [Formula: see text]C and an efficiency of over 92% for values above 13 [Formula: see text]C and a single transducer.
近年来，自供电设备的换能器和系统架构的研究受到了关注，因为它们在成本、功耗和环境影响方面直接影响物联网。研究了一种无线传感器节点，该节点使用单个热电发生器作为电源，并以高效和受控的方式作为温度梯度传感器。该设备的目的是在数据中心收集温度梯度数据，以便应用热感知服务器负载管理算法。通过使用最大功率点跟踪算法，在利用热电发生器的功率-温度传递函数测量温度梯度的同时，保持其工作点的控制。这样，在以最高效率收集能量的同时，实现了对温度梯度的更精确测量。结果展示了系统的不同阶段的运行情况，并证明了其在测量温度梯度的同时，从温度梯度中高效收集能量的能力。通过这种系统架构，可以以最大误差为 0.14 [Formula: see text]C 测量温度梯度，并且对于 13 [Formula: see text]C 以上的值，效率超过 92%，并且使用单个换能器。
