Abstract

The diversity of energy efficiency appliances existent on the market, with all its different issues, contributes to the existence of several tradeoffs (e.g., energy and water consumption vs. initial investment), which make the consumer’s choices in the market difficult. This becomes even more relevant, by knowing that nowadays a consumer tries to get a solution from the market, with a good compromise between the economic, social and environmental dimensions, and according to its priorities and specific needs, which can be different from other consumers. By adopting a multicriteria approach, combined with an optimization technique, based on evolutionary algorithms (EA), it will be possible to provide a set of sustainable solutions from the market to the consumer, that respects the compromise referred before. In this work, it will be presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on electrical appliances, from the market and suitable to its needs. The method will be applied to a case study, to demonstrate its application. Regarding the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions) by taking into account the consumer’s relative importance, regarding each dimension considered.

Highlights

  • To fill the gap discussed before in the literature, this paper presents a decision support method, which allows the decision agent to be provided with a set of household appliances, existed in the market, by considering each energy service to be acquired

  • The DA has a limit budget to perform such decision (2100 € in the case study), and he wants to achieve a set of sustainable solutions, good from the social point of view, but a set of solutions that allows them to achieve a good compromise between its economic and environment concerns, which are expressed as a set of two relative importance factors, respectively ωA and ωB

  • Non-Dominated Sorting Genetic Algorithm II (NSGAII) was implemented by using Matlab code, by considering the following parameters:

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Summary

Introduction

There were made some energy efficiency improvements regarding electrical household appliances, in the European region, but in other regions around the world, such as Asia, America and Africa [8]. One of such measures is mandatory labeling [8,9,10], which provides relevant information to the consumer, related to each electrical appliance (e.g., noise (air conditioner), energy consumption, cloth capacity (washing machine), etc.), promoting a suitable use, adjusted to its needs [11]

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