Browsing by Author "Vasconcelos, Dino"
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- Energy monitoring in the wild: platform development and lessons learned from a real-world demonstratorPublication . Quintal, Filipe; Garigali, Daniel; Vasconcelos, Dino; Cavaleiro, Jonathan; Santos, Wilson; Pereira, LucasThis paper presents the development and evaluation of EnnerSpectrum, a platform for electricity monitoring. The development was motivated by a gap between academic, fully custom made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is composed of two main entities, the back end, and the Gateway. The back end is a server comprised of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts with equipment at a site that cannot interact directly with the back end. The paper presents the architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of electricity for approximately 36 months. During this period, the proposed system was able to adapt to several building and monitoring conditions while acquiring 95% of all the available consumption data. To finalize, the paper presents a set of lessons learned from running such a long-term study in the real world.
- MyTukxi: low cost smart charging for small scale EVsPublication . Quintal, Filipe; Scuri, Sabrina; Barreto, Mary; Pereira, Lucas; Vasconcelos, Dino; Pestana, DanielAs the electrification of the transportation sector grows the electric grid must handle the new load resulting from electric vehicles (EV) charging. The integration of this new load in the grid has been subject to work in the smart-charging research field, however, while normal-sized EVs often offer chargers or other functions that support smart-charging, smaller EVs do not, which could be problem atic. Especially considering that the consumption of small EV when aggregated can be significant. This article presents the motivation and development behind the development of MyTukxi, a hardware and software system that aims at implementing smart-charging algorithms for low consuming electric vehicles (EV), interacting with drivers to compensate for the lack of charging control in such vehicles.