IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i17p3354-d262612.html
   My bibliography  Save this article

Cool Roof Impact on Building Energy Need: The Role of Thermal Insulation with Varying Climate Conditions

Author

Listed:
  • Cristina Piselli

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy
    CIRIAF-Interuniversity Research Centre, University of Perugia, 06125 Perugia, Italy)

  • Anna Laura Pisello

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy
    CIRIAF-Interuniversity Research Centre, University of Perugia, 06125 Perugia, Italy)

  • Mohammad Saffari

    (UCD Energy Institute, University College Dublin (UCD), Belfield, Dublin 4, Ireland)

  • Alvaro de Gracia

    (CIRIAF-Interuniversity Research Centre, University of Perugia, 06125 Perugia, Italy
    GREiA Research Group, INSPIRES Research Centre, University of Lleida, 25001 Lleida, Spain)

  • Franco Cotana

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy
    CIRIAF-Interuniversity Research Centre, University of Perugia, 06125 Perugia, Italy)

  • Luisa F. Cabeza

    (GREiA Research Group, INSPIRES Research Centre, University of Lleida, 25001 Lleida, Spain)

Abstract

Cool roof effectiveness in improving building thermal-energy performance is affected by different variables. In particular, roof insulation level and climate conditions are key parameters influencing cool roofs benefits and whole building energy performance. This work aims at assessing the role of cool roof in the optimum roof configuration, i.e., combination of solar reflectance capability and thermal insulation level, in terms of building energy performance in different climate conditions worldwide. To this aim, coupled dynamic thermal-energy simulation and optimization analysis is carried out. In detail, multi-dimensional optimization of combined building roof thermal insulation and solar reflectance is developed to minimize building annual energy consumption for heating–cooling. Results highlight how a high reflectance roof minimizes annual energy need for a small standard office building in the majority of considered climates. Moreover, building energy performance is more sensitive to roof solar reflectance than thermal insulation level, except for the coldest conditions. Therefore, for the selected building, the optimum roof typology presents high solar reflectance capability (0.8) and no/low insulation level (0.00–0.03 m), except for extremely hot or cold climate zones. Accordingly, this research shows how the classic approach of super-insulated buildings should be reframed for the office case toward truly environmentally friendly buildings.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3354-:d:262612
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/17/3354/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/17/3354/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Giovani Almeida Dávi & José López de Asiain & Juan Solano & Estefanía Caamaño-Martín & César Bedoya, 2017. "Energy Refurbishment of an Office Building with Hybrid Photovoltaic System and Demand-Side Management," Energies, MDPI, vol. 10(8), pages 1-24, August.
    3. Wendy Miller & Glenn Crompton & John Bell, 2015. "Analysis of Cool Roof Coatings for Residential Demand Side Management in Tropical Australia," Energies, MDPI, vol. 8(6), pages 1-16, June.
    4. 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.
    5. 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.
    6. 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.
    7. Majed Abuseif & Zhonghua Gou, 2018. "A Review of Roofing Methods: Construction Features, Heat Reduction, Payback Period and Climatic Responsiveness," Energies, MDPI, vol. 11(11), pages 1-22, November.
    8. Jiyuan Kuang & Chenghui Zhang & Fan Li & Bo Sun, 2018. "Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units," Energies, MDPI, vol. 11(9), pages 1-16, August.
    9. Anna Laura Pisello, 2015. "Experimental Analysis of Cool Traditional Solar Shading Systems for Residential Buildings," Energies, MDPI, vol. 8(3), pages 1-14, March.
    10. Saafi, Khawla & Daouas, Naouel, 2018. "A life-cycle cost analysis for an optimum combination of cool coating and thermal insulation of residential building roofs in Tunisia," Energy, Elsevier, vol. 152(C), pages 925-938.
    11. 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.
    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. Zhuang, Chaoqun & Gao, Yafeng & Zhao, Yingru & Levinson, Ronnen & Heiselberg, Per & Wang, Zhiqiang & Guo, Rui, 2021. "Potential benefits and optimization of cool-coated office buildings: A case study in Chongqing, China," Energy, Elsevier, vol. 226(C).
    2. Frankie Fanjie Zeng & Jiajun Feng & Yuanzhi Zhang & Jin Yeu Tsou & Tengfei Xue & Yu Li & Rita Yi Man Li, 2021. "Comparative Study of Factors Contributing to Land Surface Temperature in High-Density Built Environments in Megacities Using Satellite Imagery," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    3. Piselli, Cristina & Prabhakar, Mohit & de Gracia, Alvaro & Saffari, Mohammad & Pisello, Anna Laura & Cabeza, Luisa F., 2020. "Optimal control of natural ventilation as passive cooling strategy for improving the energy performance of building envelope with PCM integration," Renewable Energy, Elsevier, vol. 162(C), pages 171-181.
    4. Mattia Manni & Alessia Di Giuseppe & Andrea Nicolini & Fabio Sciurpi & Franco Cotana, 2021. "Influences of a Highly Reflective Mulching Membrane on Heat Propagation throughout the Soil," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    5. Farooq, Abdul Samad & Zhang, Peng & Gao, Yongfeng & Gulfam, Raza, 2021. "Emerging radiative materials and prospective applications of radiative sky cooling - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. Cristina Piselli & Matteo Di Grazia & Anna Laura Pisello, 2020. "Combined Effect of Outdoor Microclimate Boundary Conditions on Air Conditioning System’s Efficiency and Building Energy Demand in Net Zero Energy Settlements," Sustainability, MDPI, vol. 12(15), pages 1-13, July.
    7. Cristina Piselli & Alessio Guastaveglia & Jessica Romanelli & Franco Cotana & Anna Laura Pisello, 2020. "Facility Energy Management Application of HBIM for Historical Low-Carbon Communities: Design, Modelling and Operation Control of Geothermal Energy Retrofit in a Real Italian Case Study," Energies, MDPI, vol. 13(23), pages 1-18, December.

    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. 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.
    2. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Napolitano, Davide Ferdinando, 2019. "Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness," Applied Energy, Elsevier, vol. 254(C).
    3. 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.
    4. 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.
    5. Golpîra, Hêriş & Khan, Syed Abdul Rehman, 2019. "A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty," Energy, Elsevier, vol. 170(C), pages 1113-1129.
    6. Seong-Il Park & Taek-Hyoung Ryu & Ick-Chang Choi & Jung-Sup Um, 2019. "Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs," Energies, MDPI, vol. 12(14), pages 1-14, July.
    7. 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.
    8. Perera, A.T.D. & Wickramasinghe, P.U. & Nik, Vahid M. & Scartezzini, Jean-Louis, 2019. "Machine learning methods to assist energy system optimization," Applied Energy, Elsevier, vol. 243(C), pages 191-205.
    9. 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.
    10. 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.
    11. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    12. Baloch, Ashfaque Ahmed & Shaikh, Pervez Hameed & Shaikh, Faheemullah & Leghari, Zohaib Hussain & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2018. "Simulation tools application for artificial lighting in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3007-3026.
    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. 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).
    15. Pirasaci, Tolga, 2020. "Investigation of phase state and heat storage form of the phase change material (PCM) layer integrated into the exterior walls of the residential-apartment during heating season," Energy, Elsevier, vol. 207(C).
    16. Yue, Naihua & Caini, Mauro & Li, Lingling & Zhao, Yang & Li, Yu, 2023. "A comparison of six metamodeling techniques applied to multi building performance vectors prediction on gymnasiums under multiple climate conditions," Applied Energy, Elsevier, vol. 332(C).
    17. Urban, Kristof L. & Scheller, Fabian & Bruckner, Thomas, 2021. "Suitability assessment of models in the industrial energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    18. Iqbal, M. & Azam, M. & Naeem, M. & Khwaja, A.S. & Anpalagan, A., 2014. "Optimization classification, algorithms and tools for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 640-654.
    19. Piselli, Cristina & Prabhakar, Mohit & de Gracia, Alvaro & Saffari, Mohammad & Pisello, Anna Laura & Cabeza, Luisa F., 2020. "Optimal control of natural ventilation as passive cooling strategy for improving the energy performance of building envelope with PCM integration," Renewable Energy, Elsevier, vol. 162(C), pages 171-181.
    20. 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.

    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:12:y:2019:i:17:p:3354-:d:262612. 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.