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Design Optimization of a Composite Solar Wall Integrating a PCM in a Individual House: Heating Demand and Thermal Comfort Considerations

Author

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  • Enghok Leang

    (Laboratoire de Génie Civil et géo-Environnement (LGCgE), Université d’Artois, ULR 4515, F-62400 Béthune, France)

  • Pierre Tittelein

    (Laboratoire de Génie Civil et géo-Environnement (LGCgE), Université d’Artois, ULR 4515, F-62400 Béthune, France)

  • Laurent Zalewski

    (Laboratoire de Génie Civil et géo-Environnement (LGCgE), Université d’Artois, ULR 4515, F-62400 Béthune, France)

  • Stéphane Lassue

    (Laboratoire de Génie Civil et géo-Environnement (LGCgE), Université d’Artois, ULR 4515, F-62400 Béthune, France)

Abstract

Thermal energy storage (TES), which features an innovative technology, can enhance energy efficiency in the building sector and reduce CO 2 emissions. Due to their high heat storage capacity, phase change materials (PCMs) have impressed many researchers. This paper investigates the energy performance of an individual house integrating a solar Trombe wall containing PCM with respect to heating demand and thermal comfort applications. The thermal energy performance of the design house was simulated using Dymola/Modelica, the thermal building simulation tool, whereby the optimization of objective functions as regards heating demand and thermal comfort was executed using GenOpt, the generic optimization software. Optimization of the solar Trombe wall focuses on the feasibility to find the optimal PCM parameters when running GenOpt, which consist of latent heat, melting temperature, PCM thickness and thermal conductivity, in order to minimize both the annual energy consumption for heating and the number of hours of thermal discomfort. The parametric study was first conducted for each PCM parameter so as to not only observe its effect on the identified energy performance, but also ensure the absence of errors in simulation runs before performing the optimization. The ‘Coordinate Search’ Generalized Pattern Search (GPS) algorithm was applied to minimize the objective function, whereas the ‘Weighted Sum Approach’ was used to solve the multi-objective function problem. Results showed that the higher the latent heat, the lower the heating demand and the greater the thermal comfort. The results of these parametric studies show that for the effect of the parameter on heating, demand is quite limited (1–2 kWh·m − 2 ·year − 1 ) whereas the effect on thermal comfort is more significant. The optimal PCM melting temperature is higher for warmer climates; it is also higher for the studied case applying the optimization method to minimize the objective function by assigning the number of hours of thermal discomfort (from 32.8 ∘ C to 35.9 ∘ C , depending on weather) than it is when applying the optimization method to reduce the objective function by assigning heating demand (from 31.5 ∘ C to 32.9 ∘ C , again depending on weather).

Suggested Citation

  • Enghok Leang & Pierre Tittelein & Laurent Zalewski & Stéphane Lassue, 2020. "Design Optimization of a Composite Solar Wall Integrating a PCM in a Individual House: Heating Demand and Thermal Comfort Considerations," Energies, MDPI, vol. 13(21), pages 1-29, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5640-:d:436156
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    References listed on IDEAS

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    1. Ascione, Fabrizio & Bianco, Nicola & De Masi, Rosa Francesca & de’ Rossi, Filippo & Vanoli, Giuseppe Peter, 2014. "Energy refurbishment of existing buildings through the use of phase change materials: Energy savings and indoor comfort in the cooling season," Applied Energy, Elsevier, vol. 113(C), pages 990-1007.
    2. Ma, Qingsong & Fukuda, Hiroatsu & Wei, Xindong & Hariyadi, Agus, 2019. "Optimizing energy performance of a ventilated composite Trombe wall in an office building," Renewable Energy, Elsevier, vol. 134(C), pages 1285-1294.
    3. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
    4. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    5. Cascone, Ylenia & Capozzoli, Alfonso & Perino, Marco, 2018. "Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates," Applied Energy, Elsevier, vol. 211(C), pages 929-953.
    6. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    7. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    8. Saffari, Mohammad & de Gracia, Alvaro & Fernández, Cèsar & Cabeza, Luisa F., 2017. "Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings," Applied Energy, Elsevier, vol. 202(C), pages 420-434.
    9. Kheiri, Farshad, 2018. "A review on optimization methods applied in energy-efficient building geometry and envelope design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 897-920.
    10. Xiao, Wei & Wang, Xin & Zhang, Yinping, 2009. "Analytical optimization of interior PCM for energy storage in a lightweight passive solar room," Applied Energy, Elsevier, vol. 86(10), pages 2013-2018, October.
    11. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    12. Enghok Leang & Pierre Tittelein & Laurent Zalewski & Stéphane Lassue, 2020. "Impact of a Composite Trombe Wall Incorporating Phase Change Materials on the Thermal Behavior of an Individual House with Low Energy Consumption," Energies, MDPI, vol. 13(18), pages 1-32, September.
    13. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
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    Cited by:

    1. Jesús M. Blanco & Yokasta García Frómeta & Maggi Madrid & Jesús Cuadrado, 2021. "Thermal Performance Assessment of Walls Made of Three Types of Sustainable Concrete Blocks by Means of FEM and Validated through an Extensive Measurement Campaign," Sustainability, MDPI, vol. 13(1), pages 1-18, January.
    2. Muhammad Suleman Malik & Naveed Iftikhar & Abdul Wadood & Muhammad Omer Khan & Muhammad Usman Asghar & Shahbaz Khan & Tahir Khurshaid & Ki-Chai Kim & Zabdur Rehman & S. Tauqeer ul Islam Rizvi, 2020. "Design and Fabrication of Solar Thermal Energy Storage System Using Potash Alum as a PCM," Energies, MDPI, vol. 13(23), pages 1-16, November.
    3. Lech Lichołai & Aleksander Starakiewicz & Joanna Krasoń & Przemysław Miąsik, 2021. "The Influence of Glazing on the Functioning of a Trombe Wall Containing a Phase Change Material," Energies, MDPI, vol. 14(17), pages 1-19, August.
    4. Xiaohang Shen & Nianping Li & Jiao Lu & Yongga A, 2020. "Heating Performance of Solar Building Integrated Wall under Natural Circulation," Energies, MDPI, vol. 13(23), pages 1-22, November.

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