A New Approach to Provide Sustainable Solutions for Residential Sector

Santos, Ricardo; Matias, João C. O.; Abreu, António

doi:10.1007/978-3-030-17771-3_29

Cited by 4 publications

(9 citation statements)

References 17 publications

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“…As it mentioned before, NSGAII was used in this work as a multiobjective optimization method based on evolutionary algorithms. The motivation for its use is based on its success in other approaches, which are related to problems of the same nature, in addition with its perceived advantages [19,29].…”

Section: The Optimization Methods Non-dominated Sorting Genetic Algorithm II (Nsgaii)mentioning

confidence: 99%

“…The preferences regarding the social dimension were based on previous works from [20,28], as well as the ones from the economics dimension. The ones from the environmental dimension were chosen based on the works of [29].…”

Section: Proposed Approachmentioning

confidence: 99%

“…Besides the energy efficiency classification label implicit in the attributes presented on Table 3 and referring to each energy service/appliance type considered, all the adopted attributes can be applied into other regions. In this case, the European Union's Energy Labelling Framework regulation (2017/1369) was adopted, considering previous research from [20,28,29]. However, with the corresponding adjustments mentioned before, it can be applied into other regions around the world.…”

Section: Proposed Approachmentioning

confidence: 99%

“…The first and third objective functions are based on the works from [21,29] respectively. The second objective function (Social Wellbeing), is defined based on the attributes established in this work.…”

Section: Proposed Approachmentioning

confidence: 99%

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A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

et al. 2020

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Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry.

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Section: The Optimization Methods Non-dominated Sorting Genetic Algorithm II (Nsgaii)mentioning

confidence: 99%

Section: Proposed Approachmentioning

confidence: 99%

Section: Proposed Approachmentioning

confidence: 99%

Section: Proposed Approachmentioning

confidence: 99%

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A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

et al. 2020

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“…Due to the stochastic nature of the method, it was performed a statistical analysis to assess its consistency, as it suggested in some of related works with metaheuristics (e.g. [45,46]). The statistical analysis, was performed with 30 runs/budget constraint scenario on solving the same problem by GAs, whose results were obtained and presented on Table 8.…”

Section: Nd Part -Statistical and Robustness Analysis Statistical Anamentioning

confidence: 99%

Getting efficient choices in buildings by using Genetic Algorithms: Assessment & validation

Santos

Matias

Abreu³

2019

Open Engineering

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The energy consumption in buildings, can be reduced through a rational choice of the household appliances to be acquired. This choice can be based, on a specific criteria, settled according to the consumer needs. However, such choice, still needs to be optimized, since in general, an efficient equipment has a high investment, although a low energy consumption. Genetic Algorithms (GAs) are used therefore, as an optimization technique, to get efficient and several solutions, based on those pre-selected from the market, and according to a set of criteria. However, there is a need to assess its robustness as well as its consistence in terms of convergence results. The quality of its solutions is also assessed, by comparing GAs results with those, obtained from Simplex method. The problem formulation, and its influence on GAs results, is also considered on this work, where it’s chosen the best one, among four proposed. In this paper it is presented a methodology that allows to promote energy efficiency in buildings, by achieving savings in terms of initial investment, energy consumption and CO2 emissions for the consumer. It is shown that GAs, can provide several and optimal solutions, through formulation and parameters suitable.

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A Decision-Making Tool to Provide Sustainable Solutions to a Consumer

Santos¹,

Matias²,

Abreu³

2020

IFIP Advances in Information and Communication Technology

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According to some existed studies, one of the economic sectors to achieve sustainability, is the household appliance sector. However, given the different issues (e.g. energy and water consumption, reliability, initial cost, design, noise, illuminance, etc.) to be considered, together with the existence of several brands and models from the market, brings some difficulties to a consumer, who wants to reach a good compromise between them, given its concerns, regarding each dimension of sustainability, namely; economic, social and environmental. By using multi-attribute value theory, combined with Evolutionary Algorithms (EA), it's possible to achieve sustainable solutions from the market. In this work, it's presented an approach to support a consumer, by achieving a set of sustainable household appliances from the market, based on its preferences and needs. A case study shall be used, to give an example of a global solution, where several benefits are achieved, including environment and economic ones.

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A New Approach to Provide Sustainable Solutions for Residential Sector

Cited by 4 publications

References 17 publications

A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

Getting efficient choices in buildings by using Genetic Algorithms: Assessment & validation

A Decision-Making Tool to Provide Sustainable Solutions to a Consumer

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