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Evaluation of the energy flexibility potential of radiant ceiling panels with thermal energy storage

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  • Gallardo, Andres
  • Berardi, Umberto

Abstract

This study focuses on evaluating the energy flexibility potential of an innovative cooling technology that consists of a standard radiant ceiling panel incorporating macro-encapsulated phase change materials (PCM). The incorporated PCM allows shifting the energy demand for building cooling. A simulation case study is implemented to investigate the energy flexibility of an office building conditioned by the proposed system in a hot and humid climate. At first, the thermal storage properties of the macro-encapsulated PCM were determined by using the standard ASTM C1784-20. The obtained properties were then used in a whole-building simulation model validated using measurements in a real size walk-in chamber. Three different performance indicators were used to quantify energy flexibility: available storage capacity, storage efficiency, and power shifting capacity. Results show that with an average panel to ceiling ratio of around 66%, the radiant ceiling panel has an average sensible heat storage capacity of around 430 Wh/m2day and average annual storage efficiency of 86%. Results also show that the proposed system can shift the electric power demand for conditioning by 8 h compared to a conventional all-air system. These results confirm the benefit for implementing Demand-Side Management strategies that can exploit the energy demand flexibility of radiant ceiling panels incorporating PCM.

Suggested Citation

  • Gallardo, Andres & Berardi, Umberto, 2022. "Evaluation of the energy flexibility potential of radiant ceiling panels with thermal energy storage," Energy, Elsevier, vol. 254(PC).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pc:s0360544222013500
    DOI: 10.1016/j.energy.2022.124447
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    References listed on IDEAS

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    1. Junker, Rune Grønborg & Azar, Armin Ghasem & Lopes, Rui Amaral & Lindberg, Karen Byskov & Reynders, Glenn & Relan, Rishi & Madsen, Henrik, 2018. "Characterizing the energy flexibility of buildings and districts," Applied Energy, Elsevier, vol. 225(C), pages 175-182.
    2. Arteconi, Alessia & Mugnini, Alice & Polonara, Fabio, 2019. "Energy flexible buildings: A methodology for rating the flexibility performance of buildings with electric heating and cooling systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(C).
    4. Huang, Sen & Ye, Yunyang & Wu, Di & Zuo, Wangda, 2021. "An assessment of power flexibility from commercial building cooling systems in the United States," Energy, Elsevier, vol. 221(C).
    5. Reynders, Glenn & Diriken, Jan & Saelens, Dirk, 2017. "Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings," Applied Energy, Elsevier, vol. 198(C), pages 192-202.
    6. Le Dréau, J. & Heiselberg, P., 2016. "Energy flexibility of residential buildings using short term heat storage in the thermal mass," Energy, Elsevier, vol. 111(C), pages 991-1002.
    7. Zhang, Yichi & Johansson, Pär & Kalagasidis, Angela Sasic, 2021. "Techno-economic assessment of thermal energy storage technologies for demand-side management in low-temperature individual heating systems," Energy, Elsevier, vol. 236(C).
    8. Amadeh, Ali & Lee, Zachary E. & Zhang, K. Max, 2022. "Quantifying demand flexibility of building energy systems under uncertainty," Energy, Elsevier, vol. 246(C).
    9. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    10. Gallardo, Andres & Berardi, Umberto, 2021. "Design and control of radiant ceiling panels incorporating phase change materials for cooling applications," Applied Energy, Elsevier, vol. 304(C).
    11. Hedegaard, Karsten & Mathiesen, Brian Vad & Lund, Henrik & Heiselberg, Per, 2012. "Wind power integration using individual heat pumps – Analysis of different heat storage options," Energy, Elsevier, vol. 47(1), pages 284-293.
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    Cited by:

    1. Wang, Pengcheng & Liu, Zhongbing & Zhang, Ling & Wang, Zhe & Fan, Jianhua, 2023. "Inversion of extinction coefficient and refractive index of variable transparency solid–solid phase change material based on a hybrid model under real climatic conditions," Applied Energy, Elsevier, vol. 341(C).
    2. Morovat, Navid & Athienitis, Andreas K. & Candanedo, José Agustín & Nouanegue, Hervé Frank, 2024. "Heuristic model predictive control implementation to activate energy flexibility in a fully electric school building," Energy, Elsevier, vol. 296(C).
    3. Wang, Pengcheng & Liu, Zhongbing & Liu, Ruimiao & Zhang, Feng & Zhang, Ling, 2023. "Energy flexibility of PCM-integrated building: Combination parameters design and operation control in multi-objective optimization considering different stakeholders," Energy, Elsevier, vol. 268(C).
    4. Ait Laasri, Imad & Es-sakali, Niima & Charai, Mouatassim & Mghazli, Mohamed Oualid & Outzourhit, Abdelkader, 2024. "Recent progress, limitations, and future directions of macro-encapsulated phase change materials for building applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

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