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Recommendation on modelling of solar energy incident on a building envelope

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  • Chwieduk, Dorota A.

Abstract

It is important to know how to design a building to meet seasonally varying energy needs. In high latitude countries in winter the demand for space heating is high and a building envelope should receive maximum incident solar energy. On the other hand, in summer, walls and roofs exposed to incident solar radiation usually require shading to avoid too much solar gain. Data on solar energy availability are crucial for good building design. However, it is important how the availability of solar radiation is determined. An important aim of the paper presented is to give some results of a comparative analysis of two basic sky models, isotropic: Hottel–Woertz–Liu–Jordan and anisotropic: the HDKR, Hay–Davies–Klucher–Reindl, to recommend one of these models for determination of solar energy availability on a building envelope and to formulate the energy balance of a building. Differences between results obtained from both models increase with the slope of exposed surfaces. The biggest differences (12–15%) are evident for vertical south surfaces, especially in summer. The simplified isotropic sky model is not recommended for evaluation of solar radiation availability on the building envelope. Underestimation of solar gains can lead to the selection of an unsuitable concept and construction of a building and result in poor indoor thermal comfort, i.e. overheating of rooms in summer.

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  • Chwieduk, Dorota A., 2009. "Recommendation on modelling of solar energy incident on a building envelope," Renewable Energy, Elsevier, vol. 34(3), pages 736-741.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:3:p:736-741
    DOI: 10.1016/j.renene.2008.04.005
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    References listed on IDEAS

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    1. Chwieduk, D. & Bogdanska, B., 2004. "Some recommendations for inclinations and orientations of building elements under solar radiation in Polish conditions," Renewable Energy, Elsevier, vol. 29(9), pages 1569-1581.
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    1. Kabalci, Ersan, 2011. "Development of a feasibility prediction tool for solar power plant installation analyses," Applied Energy, Elsevier, vol. 88(11), pages 4078-4086.
    2. Chwieduk, Dorota A., 2013. "Dynamics of external wall structures with a PCM (phase change materials) in high latitude countries," Energy, Elsevier, vol. 59(C), pages 301-313.
    3. Piotr Michalak, 2021. "Modelling of Solar Irradiance Incident on Building Envelopes in Polish Climatic Conditions: The Impact on Energy Performance Indicators of Residential Buildings," Energies, MDPI, vol. 14(14), pages 1-27, July.
    4. Ceballos-Fuentealba, Irlanda & Álvarez-Miranda, Eduardo & Torres-Fuchslocher, Carlos & del Campo-Hitschfeld, María Luisa & Díaz-Guerrero, John, 2019. "A simulation and optimisation methodology for choosing energy efficiency measures in non-residential buildings," Applied Energy, Elsevier, vol. 256(C).
    5. Moldovan, Camelia Liliana & Păltănea, Radu & Visa, Ion, 2020. "Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day," Renewable Energy, Elsevier, vol. 161(C), pages 559-569.
    6. Bessafi, Miloud & Oree, Vishwamitra & Khoodaruth, Abdel & Jumaux, Guillaume & Bonnardot, François & Jeanty, Patrick & Delsaut, Mathieu & Chabriat, Jean-Pierre & Dauhoo, Muhammad Zaid, 2018. "Downscaling solar irradiance using DEM-based model in young volcanic islands with rugged topography," Renewable Energy, Elsevier, vol. 126(C), pages 584-593.
    7. Olczak, Piotr, 2023. "Evaluation of degradation energy productivity of photovoltaic installations in long-term case study," Applied Energy, Elsevier, vol. 343(C).
    8. Wang, Xiaoxin & Kendrick, Christopher & Ogden, Raymond & Walliman, Nicholas & Baiche, Bousmaha, 2013. "A case study on energy consumption and overheating for a UK industrial building with rooflights," Applied Energy, Elsevier, vol. 104(C), pages 337-344.
    9. Abhinandana Boodi & Karim Beddiar & Yassine Amirat & Mohamed Benbouzid, 2020. "Simplified Building Thermal Model Development and Parameters Evaluation Using a Stochastic Approach," Energies, MDPI, vol. 13(11), pages 1-23, June.
    10. Ahmad, Naseer & Sheikh, Anwar K. & Gandhidasan, P. & Elshafie, Moustafa, 2015. "Modeling, simulation and performance evaluation of a community scale PVRO water desalination system operated by fixed and tracking PV panels: A case study for Dhahran city, Saudi Arabia," Renewable Energy, Elsevier, vol. 75(C), pages 433-447.
    11. Piotr Olczak, 2022. "Energy Productivity of Microinverter Photovoltaic Microinstallation: Comparison of Simulation and Measured Results—Poland Case Study," Energies, MDPI, vol. 15(20), pages 1-14, October.
    12. Freitas, S. & Catita, C. & Redweik, P. & Brito, M.C., 2015. "Modelling solar potential in the urban environment: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 915-931.
    13. Kruczek, Tadeusz, 2015. "Use of infrared camera in energy diagnostics of the objects placed in open air space in particular at non-isothermal sky," Energy, Elsevier, vol. 91(C), pages 35-47.
    14. Jorge Lucero-Álvarez & Norma A. Rodríguez-Muñoz & Ignacio R. Martín-Domínguez, 2016. "The Effects of Roof and Wall Insulation on the Energy Costs of Low Income Housing in Mexico," Sustainability, MDPI, vol. 8(7), pages 1-19, June.
    15. Mahlia, T.M.I. & Razak, H. Abdul & Nursahida, M.A., 2011. "Life cycle cost analysis and payback period of lighting retrofit at the University of Malaya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1125-1132, February.
    16. Piotr Olczak & Dominika Matuszewska & Jadwiga Zabagło, 2020. "The Comparison of Solar Energy Gaining Effectiveness between Flat Plate Collectors and Evacuated Tube Collectors with Heat Pipe: Case Study," Energies, MDPI, vol. 13(7), pages 1-14, April.

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