Abstract

Society wastes much more energy than it should. This produces tons of unnecessary CO2emissions. This is partly due to the inadequate use of electrical devices given the intangible and invisible nature of energy. This misuse of devices and energy unawareness is particularly relevant in public spaces (offices, schools, hospitals and so on), where people use electrical appliances, but they do not directly pay the invoice to energy providers. Embedding intelligence within public, shared appliances, transforming them into Eco-aware things, is valuable to reduce a proportion of the unnecessarily consumed energy. To this end, we present a twofold approach for better energy efficiency in public spaces: (1) informing persuasively to concerned users about the misuse of electronic appliances; (2) Customizing the operating mode of this everyday electrical appliances as a function of their real usage pattern. To back this approach, a capsule-based coffee machine placed in a research laboratory has been augmented. This device is able to continuously collect its usage pattern to offer feedback to coffee consumers about the energy wasting and also, to intelligently adapt its operation to reduce wasted energy. To this aim, several machine learning approaches are compared and evaluated to forecast the next-day device usage.

Highlights

  • In the last decade, attention to energy efficiency in household and office appliances has increased

  • The results of the proposed approaches are still far from the Optimal mode. This is due to a significant difference of the coffee maker usage pattern between the training set and test set

  • Experience has shown that humans use electrical appliances in public spaces less efficiently, in an energetic sense, than they should

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Summary

Introduction

Attention to energy efficiency in household and office appliances has increased. A big concern is that the residential energy demand in some countries has grown steadily in recent years, well above other European countries. The sheer number of devices deployed in our everyday settings (home, city or work) exhibit different modes of operation as well as different duty cycles. The standby power refers to the energy consumed by electronic and electrical appliances while they are switched off (but they are designed to draw some power in this mode). Such power is consumed by internal or external power supplies, remote control receivers, pressure pumps, J. Examples of these devices are a simple radio, a hair-dryer or an iron

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