IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i21p5640-d436156.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/21/5640/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/21/5640/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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. 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.

    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. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    2. 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.
    3. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    4. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    5. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.
    6. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    7. Wijesuriya, Sajith & Brandt, Matthew & Tabares-Velasco, Paulo Cesar, 2018. "Parametric analysis of a residential building with phase change material (PCM)-enhanced drywall, precooling, and variable electric rates in a hot and dry climate," Applied Energy, Elsevier, vol. 222(C), pages 497-514.
    8. Cristina Piselli & Anna Laura Pisello & Mohammad Saffari & Alvaro de Gracia & Franco Cotana & Luisa F. Cabeza, 2019. "Cool Roof Impact on Building Energy Need: The Role of Thermal Insulation with Varying Climate Conditions," Energies, MDPI, vol. 12(17), pages 1-20, August.
    9. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    10. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    11. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    12. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    13. Souayfane, Farah & Biwole, Pascal Henry & Fardoun, Farouk & Achard, Patrick, 2019. "Energy performance and economic analysis of a TIM-PCM wall under different climates," Energy, Elsevier, vol. 169(C), pages 1274-1291.
    14. Facundo Bre & Antonio Caggiano & Eduardus A. B. Koenders, 2022. "Multiobjective Optimization of Cement-Based Panels Enhanced with Microencapsulated Phase Change Materials for Building Energy Applications," Energies, MDPI, vol. 15(14), pages 1-17, July.
    15. Østergård, Torben & Jensen, Rasmus Lund & Maagaard, Steffen Enersen, 2018. "A comparison of six metamodeling techniques applied to building performance simulations," Applied Energy, Elsevier, vol. 211(C), pages 89-103.
    16. Cristina Brunelli & Francesco Castellani & Alberto Garinei & Lorenzo Biondi & Marcello Marconi, 2016. "A Procedure to Perform Multi-Objective Optimization for Sustainable Design of Buildings," Energies, MDPI, vol. 9(11), pages 1-15, November.
    17. Eleftheria Touloupaki & Theodoros Theodosiou, 2017. "Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review," Energies, MDPI, vol. 10(5), pages 1-18, May.
    18. Dietz, Annelore & Vera, Sergio & Bustamante, Waldo & Flamant, Gilles, 2020. "Multi-objective optimization to balance thermal comfort and energy use in a mining camp located in the Andes Mountains at high altitude," Energy, Elsevier, vol. 199(C).
    19. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
    20. Bre, Facundo & Lamberts, Roberto & Flores-Larsen, Silvana & Koenders, Eduardus A.B., 2023. "Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures," Applied Energy, Elsevier, vol. 336(C).

    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:jeners:v:13:y:2020:i:21:p:5640-:d:436156. 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.