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Noisy-le-Grand, France

Galayko D.,Paris-Sorbonne University | Dudka A.,Paris-Sorbonne University | Basset P.,ESIEE
2014 21st IEEE International Conference on Electronics, Circuits and Systems, ICECS 2014 | Year: 2014

This review paper presents a short overview of the energy harvesting technologies at microscale, and focus on challenges related to vibration energy harveters (VEHs) which use electrostatic (capacitive) transducers. These devices are the best candidates for microscale integration, since the electrostatic transducers are natively implemented in silicon microtechnologies (MEMS). The main challenges associated with electrostatic VEHs are related to the passive nature of the capacitive transducer. The latter can be seen as a variable capacitor, needed to be dynamically biased/pre-charged in order to convert vibrations into electricity. For this, a complex management of the charging/discharging electrical flow on the transducer is required: this is achieved with a conditioning circuit, studied in numerous works. Electrostatic kinetic energy harvester a multidomain complex system, containing several blocks, whose optimal design still a subject of advanced research. This paper reviews the challenges related to design of capacitive vibration energy harvesters at the system level, explains fundamental limitation of the capacitive vibration energy harvesters at micro scale, and overview the existing system-level solutions of capacitive VEHs. © 2014 IEEE. Source

Vincke B.,University Paris - Sud | Lambert A.,University Paris - Sud | Gruyer D.,INRETS | Elouardi A.,University Paris - Sud | Seignez E.,ESIEE
11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 | Year: 2010

The vehicle's localization is classically achieved by Bayesian methods like Extended Kalman Filtering. Such a method provides an estimated position with its associated uncertainty. Bounded-error approaches using interval analysis work in a different way as they provide a possible set of positions. An advantage of such approaches is that the results are guaranteed and are not probabilistically defined. This paper focuses on constraints propagation techniques using static and dynamic fusion. Static fusion uses data redundancy to enhance proprioceptive data. Then dynamic fusion uses GPS in order to reduce the size of the localization box. The approach has been validated with a real outdoor vehicle. ©2010 IEEE. Source

Popoola O.M.,Tshwane University of Technology | Munda J.,Tshwane University of Technology | Mpanda A.,ESIEE | Dintchev O.,Tshwane University of Technology | Mlonzi P.,Tshwane University of Technology
Proceedings of the Conference on the Industrial and Commercial Use of Energy, ICUE | Year: 2014

The intricacies of the impact occupants have on lighting loads in residential buildings are not reflected in most practices use for light usage profile. This investigation involves the use of a universal estimator (Adaptive Neuro Fuzzy Inference System (ANFIS)) for middle income lighting load usage profile development, prediction and evaluation) for energy and demand side management initiatives. Natural light, Occupancy (active) and Income level are the three factors considered in this study. Trapezium membership function was applied during the training process of the ANFIS model due to historical light usage pattern (time of use) data. The result obtained after validation of the developed model using the investigative data showed a better correlation of fit and root mean square error in comparison with the regression model. The developed approach has the ability to give better lighting prediction accuracy in relation to non-linearity data and behavioural tendencies. © 2014 Cape Peninsula University of Technology. Source

Popoola O.M.,Tshwane University of Technology | Burnier C.,ESIEE | Burnier C.,French South Africa Institute of Technology
Journal of Energy in Southern Africa | Year: 2014

This paper focuses on the impact of Solar Water Heaters (SWH) at a higher institution of learning. An energy audit was conducted for the evaluation of the energy conservation measure: energy conoduction Energy is a key element in the development of any country or institution; as a result any shortage in energy will have a serious effect on the economy and social aspect of such country or institution. South Africa has, in recent years, experienced high economic growth as well as a rapid expansion in the elsumption analysis, correlation of consumption with weather; financial criteria, payback period and needed solar heater system (SWH) to determine the energy that may be termed as wastage or can be saved. The method of investigation includes assessment of the hot water usage within the institution campus and residencies, analysis of bills, metering and development of a software model for the analysis of energy use, system needed and environmental variables. This renewable measure (SWH) showed a high potential of energy and financial savings for higher education institutions especially those with residences. Source

O'Riordan E.,University College Dublin | Dudka A.,University Pierre and Marie Curie | Galayko D.,University Pierre and Marie Curie | Basset P.,ESIEE | And 2 more authors.
IEEE Transactions on Circuits and Systems I: Regular Papers | Year: 2015

In this paper, we explore and describe the electromechanical coupling which results from eKEH conditioning circuits implementing a rectangular QV cycle, including but not limited to the charge pump and Bennet's doubler circuits. We present numerical and semi-analytical analyses describing the nonlinear relationship between the oscillating mass and the conditioning circuit. We believe this is a poorly understood facet of the device and, as we will portray, affects the potential harvested energy. An approach to determine the frequency shift due to the electromechanical coupling is presented and compared with novel experimental results. We provide some examples of bifurcation behavior and show that the only source of nonlinearity is in the coupling between the electrical and mechanical domains. This work continues from the electrical analysis presented in Part 1, providing a full insight into the complex behavior of the electromechanical coupling. © 2004-2012 IEEE. Source

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