IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i4p1143-d208008.html
   My bibliography  Save this article

A Decision Support Approach to Provide Sustainable Solutions to the Consumer, by Using Electrical Appliances

Author

Listed:
  • João Carlos de Oliveira Matias

    (DEGEIT—Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, 3810-193 Aveiro, Portugal
    GOVCOPP—Research Unit on Governance, Competitiveness and Public Policies, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Ricardo Santos

    (GOVCOPP—Research Unit on Governance, Competitiveness and Public Policies, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Antonio Abreu

    (Instituto Superior de Engenharia de Lisboa (ISEL), 1959-007 Lisboa, Portugal
    CTS—Uninova—Instituto de Desenvolvimento de Novas Tecnologias, 2829-516 Caparica, Portugal)

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, CO 2 emissions) by taking into account the consumer’s relative importance, regarding each dimension considered.

Suggested Citation

  • João Carlos de Oliveira Matias & Ricardo Santos & Antonio Abreu, 2019. "A Decision Support Approach to Provide Sustainable Solutions to the Consumer, by Using Electrical Appliances," Sustainability, MDPI, vol. 11(4), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1143-:d:208008
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/4/1143/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/4/1143/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liang Wong, Ing & Krüger, Eduardo, 2017. "Comparing energy efficiency labelling systems in the EU and Brazil: Implications, challenges, barriers and opportunities," Energy Policy, Elsevier, vol. 109(C), pages 310-323.
    2. Myeong Jin Ko & Yong Shik Kim & Min Hee Chung & Hung Chan Jeon, 2015. "Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm," Energies, MDPI, vol. 8(4), pages 1-26, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ihwan Ghazali & Salwa Hanim Abdul-Rashid & Siti Zawiah Md Dawal & Nurul Huda & Amir Husni Mohd Shariff & Safarudin Gazali Herawan & Fu Haw Ho & Novita Sakundarini, 2021. "Guidelines for Designing Green Products Considering Customers’ Cultural Preferences," Sustainability, MDPI, vol. 13(2), pages 1-27, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco Sanhueza-Durán & José M. Gómez-Soberón & Claudia Valderrama-Ulloa & Felipe Ossio, 2019. "A Comparison of Energy Efficiency Certification in Housing: A Study of the Chilean and Spanish Cases," Sustainability, MDPI, vol. 11(17), pages 1-16, September.
    2. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    3. Garcia Marrero, Luis Enrique & Arzola Ruíz, José, 2021. "Web-based tool for the decision making in photovoltaic/wind farms planning with multiple objectives," Renewable Energy, Elsevier, vol. 179(C), pages 2224-2234.
    4. Felipe Encinas & Carlos Marmolejo-Duarte & Elizabeth Wagemann & Carlos Aguirre, 2019. "Energy-Efficient Real Estate or How It Is Perceived by Potential Homebuyers in Four Latin American Countries," Sustainability, MDPI, vol. 11(13), pages 1-24, June.
    5. Zeel Maheshwari & Rama Ramakumar, 2017. "Smart Integrated Renewable Energy Systems (SIRES): A Novel Approach for Sustainable Development," Energies, MDPI, vol. 10(8), pages 1-22, August.
    6. Rita Remeikienė & Ligita Gasparėnienė & Aleksandra Fedajev & Marek Szarucki & Marija Đekić & Jolita Razumienė, 2021. "Evaluation of Sustainable Energy Development Progress in EU Member States in the Context of Building Renovation," Energies, MDPI, vol. 14(14), pages 1-22, July.
    7. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    8. Mostafavi Sani, Mostafa & Noorpoor, Alireza & Shafie-Pour Motlagh, Majid, 2019. "Optimal model development of energy hub to supply water, heating and electrical demands of a cement factory," Energy, Elsevier, vol. 177(C), pages 574-592.
    9. Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2017. "Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms," Energies, MDPI, vol. 10(10), pages 1-20, October.
    10. Mahirah Kamaludin & Muhd Azrin Shah Razali & Nazatul Faizah Haron & A. A. Azlina, 2021. "Energy Efficiency Labelling: Investigating Students Preferences and Awareness on the Energy-efficient Electrical Appliances in Hostel," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 300-308.
    11. Lee, Sangkeum & Cho, Hong-Yeon & Har, Dongsoo, 2018. "Operation optimization with jointly controlled modules powered by hybrid energy source: A case study of desalination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3070-3080.
    12. Kyriakarakos, George & Dounis, Anastasios I. & Arvanitis, Konstantinos G. & Papadakis, George, 2017. "Design of a Fuzzy Cognitive Maps variable-load energy management system for autonomous PV-reverse osmosis desalination systems: A simulation survey," Applied Energy, Elsevier, vol. 187(C), pages 575-584.
    13. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2018. "Multi-Objective Optimization of the Envelope of Building with Natural Ventilation," Energies, MDPI, vol. 11(6), pages 1-17, May.
    14. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    15. Chris Ogwumike & Michael Short & Fathi Abugchem, 2015. "Heuristic Optimization of Consumer Electricity Costs Using a Generic Cost Model," Energies, MDPI, vol. 9(1), pages 1-21, December.
    16. Roberts, Justo José & Marotta Cassula, Agnelo & Silveira, José Luz & da Costa Bortoni, Edson & Mendiburu, Andrés Z., 2018. "Robust multi-objective optimization of a renewable based hybrid power system," Applied Energy, Elsevier, vol. 223(C), pages 52-68.
    17. Luis Claudio A. Borja & Sandro Fábio César & Rita Dione A. Cunha & Asher Kiperstok, 2019. "Getting Environmental Information from Construction Cost Databases: Applications in Brazilian Courses and Environmental Assessment," Sustainability, MDPI, vol. 11(1), pages 1-28, January.
    18. Sawle, Yashwant & Gupta, S.C. & Bohre, Aashish Kumar, 2018. "Review of hybrid renewable energy systems with comparative analysis of off-grid hybrid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2217-2235.
    19. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    20. Janne Hirvonen & Juha Jokisalo & Juhani Heljo & Risto Kosonen, 2019. "Towards the EU Emission Targets of 2050: Cost-Effective Emission Reduction in Finnish Detached Houses," Energies, MDPI, vol. 12(22), pages 1-29, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1143-:d:208008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.