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Multi-objective Optimization of Solar Thermal Systems Applied to Residential Building in Portugal

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

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Abstract

Thermal-economic evaluation represents an effective tool to optimize thermal systems. This study presents a mathematical model that encloses the physical variable equations and a set of equations that define the purchase cost of the main system components. The main objective of this study is the thermo-economic optimisation of solar thermal systems for residential building applications, considering a multi-objective approach. The simulations were performed through a MatLab code, by implementing an elitist variant of NASGA-II. The numerical model disclosed a Pareto front considering the optimal trade-off solutions for the minimum investment cost and the maximum solar collection efficiency. The optimal solutions disclose a set of optimal solutions for which the solar collection efficiency vary 28.3% and 77.0% and the investment costs vary between 2,099€ and 3,308€. Results show that gains in solar collection efficiency above 70% imply a great increase in the total purchase cost, implying a bump of almost 1,000€, from a total investment cost of 2,200€ to 3,200€. As a conclusion, the solar collector area is one of the most important decision variables in the multi-objective optimization of thermal-economic analysis of solar thermal systems.

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Acknowledgements

The first author would like to express her gratitude for the support given by the Portuguese Foundation for Science and Technology (FCT) through the Post-Doc Research Grant SFRH/BPD/121446/2016. This work has been supported by FCT within the Project Scope UID/CEC/00319/2019 (ALGORITMI) and Project Scope UID/EMS/04077/2019 (METRICS).

Author information

Authors and Affiliations

  1. ALGORITMI Centre, University of Minho, Guimarães, Portugal

    Ana Cristina Ferreira, Ângela Silva & Senhorinha Teixeira

  2. Mechanical Engineering and Resource Sustainability Center (MEtRICs), University of Minho, Guimarães, Portugal

    Ana Cristina Ferreira

  3. Centro de Investigação em Organizações, Mercados e Gestão Industrial (COMEGI), Universidade Lusíada Norte, Vila Nova de Famalicão, Portugal

    Ângela Silva

  4. Escola Superior de Ciências Empresariais, Instituto Politécnico de Viana do Castelo, Valença, Portugal

    Ângela Silva

Authors
  1. Ana Cristina Ferreira
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  2. Ângela Silva
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  3. Senhorinha Teixeira
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Corresponding author

Correspondence to Ana Cristina Ferreira .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Ferreira, A.C., Silva, Â., Teixeira, S. (2019). Multi-objective Optimization of Solar Thermal Systems Applied to Residential Building in Portugal. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-24311-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24310-4

  • Online ISBN: 978-3-030-24311-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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