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Optimized Design and Feasibility of a Heating System with Energy Storage by Pebble Bed in a Solar Attic

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  • Hao Cheng

    (Department of Building Environment and Energy, Xi’an Jiaotong University, Xi’an 710049, China
    Shanxi Energy Broad Building Industry Co. Ltd., Xi’an 712085, China)

  • Xinke Wang

    (Department of Building Environment and Energy, Xi’an Jiaotong University, Xi’an 710049, China)

  • Min Zhou

    (China Northwest Architecture Design and Research Institute Co. Ltd., Xi’an, 710003, China)

Abstract

For efficient application of solar energy, a pebble bed energy storage heating system in a solar attic is optimally designed and operated. To study the characteristics of the heating system, a numerical model for the system is presented and is validated with the experiment data in the literature. Based on the model, the influence of the envelopes of the solar house and the meteorological condition on the system performance is investigated. The results show that the envelopes, except those on the north face, with more glazed exterior surfaces can be beneficial to raise the temperature of the solar house. It is also found that outdoor temperature may have less impact on the energy storage in the system compared with solar radiation. Furthermore, through optimizing the system design and operation, solar energy can account for 56% of the energy requirement in the heating season in Xi’an (about 34° N, 108° E), which has an average altitude of 397.5 m and moderate solar irradiation. Also, the suitability of the system in northwest China is investigated, and the outcome demonstrates that the external comprehensive temperature should be more than 269 K if a 50% energy saving rate is expected.

Suggested Citation

  • Hao Cheng & Xinke Wang & Min Zhou, 2017. "Optimized Design and Feasibility of a Heating System with Energy Storage by Pebble Bed in a Solar Attic," Energies, MDPI, vol. 10(3), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:328-:d:92533
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    References listed on IDEAS

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    Cited by:

    1. Michel Noussan & Benedetto Nastasi, 2018. "Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation," Energies, MDPI, vol. 11(1), pages 1-15, January.
    2. Nemś, Magdalena & Kasperski, Jacek & Nemś, Artur & Bać, Anna, 2018. "Validation of a new concept of a solar air heating system with a long-term granite storage bed for a single-family house," Applied Energy, Elsevier, vol. 215(C), pages 384-395.
    3. Roberto Zanetti Freire & Gerson Henrique dos Santos & Leandro dos Santos Coelho, 2017. "Hygrothermal Dynamic and Mould Growth Risk Predictions for Concrete Tiles by Using Least Squares Support Vector Machines," Energies, MDPI, vol. 10(8), pages 1-16, July.

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