Two Papers Accepted for Publication in IEEE Transactions26th September 2011
We have recently had two papers related to our work on Energy Harvesting electronics accepted for publication in the IEEE Transactions on Circuits and Systems. Both publications are a result of the EPSRC project on 'Holistic Energy Harvesting'.
Our paper on supercapacitor modelling
The first paper, 'Accurate Supercapacitor Modeling for Energy-Harvesting Wireless Sensor Nodes' investigates supercapacitors, often used in energy-harvesting wireless sensor nodes (EH-WSNs) to store harvested energy. Until now, research into the use of supercapacitors in EH-WSNs has considered them to be ideal or over-simplified, with non-ideal behavior attributed to substantial leakage currents. In this brief, we show that observations previously attributed to leakage are predominantly due to redistribution of charge inside the supercapacitor. We confirm this hypothesis through the development of a circuit-based model which accurately represents non-ideal behavior. The model correlates well with practical validations representing the operation of an EH-WSN, and allows behavior to be simulated over long periods..
The second paper, 'Photovoltaic Sample-and-Hold Circuit Enabling MPPT Indoors for Low-Power Systems' presents an ultra low-power maximum power point tracking (MPPT) circuit with a novel sample-and-hold and cold-start arrangement, enabling efficient indoor MPPT (which has not been reported, or considered possible, before). The circuit is validated in practice, and the sample-and-hold behaviour analysed using real light data.
For more information, click here.
PRiME Video on Run-Time Energy Management29th July 2014
I recently recorded a video about our current research into runtime management for energy efficiency.The research is being conducted as part of the PRiME project, and this particular strand of work has been led by PhD student Luis Maeda.
Alex Presents DejaView Research at IET WSS19th June 2012
Today Alex presented his research at the IET conference on Wireless Sensing Systems (WSS). His paper was on the topic of "Adaptive Sampling in Context-Aware Systems: A Machine Learning Approach", and is a method he is researching to attempt to maximise the usefullness of images captured by the DejaView system, while minimising energy consumption.
Alex's presentation was recorded, and his slides and a video of the presentation can be watched on the IET website by clicking here.