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A dynamic multi-level model for adsorptive solar cooling

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  • Santori, Giulio
  • Sapienza, Alessio
  • Freni, Angelo

Abstract

This paper focuses on the development of a dynamic multi-level model for simulating of a solar cooling system adopting an adsorption chiller. The model integrates detailed simulation of the adsorption cycle (component level) into the transient simulation of the solar cooling system (system level). The chiller investigated was a standard two bed silica gel/water unit. The model was used to ascertain the feasibility of solar-driven adsorption cooling and for optimization purposes. In the base case simulated, the adsorption chiller cooled down the outdoor air to 16.1 °C. The daily average COP of the chiller was 0.18. Consequently, a spectral analysis was performed on these data for identification of the correlation among the variables involved in the solar cooling system in order to study the effects of the input parameters on the outputs. The outcomes were that the COP depends mainly on Tev > Qcond > Qcool > Qheat and the thermal power delivered to the hot storage unit correlates Tz1 > Tc.

Suggested Citation

  • Santori, Giulio & Sapienza, Alessio & Freni, Angelo, 2012. "A dynamic multi-level model for adsorptive solar cooling," Renewable Energy, Elsevier, vol. 43(C), pages 301-312.
    • Handle: RePEc:eee:renene:v:43:y:2012:i:c:p:301-312
    DOI: 10.1016/j.renene.2011.11.039
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    Citations

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    Cited by:

    1. Wang, Dechang & Zhang, Jipeng & Tian, Xiaoliang & Liu, Dawei & Sumathy, K., 2014. "Progress in silica gel–water adsorption refrigeration technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 85-104.
    2. Olkis, C. & Santori, G. & Brandani, S., 2018. "An Adsorption Reverse Electrodialysis system for the generation of electricity from low-grade heat," Applied Energy, Elsevier, vol. 231(C), pages 222-234.
    3. Olkis, Christopher & AL-Hasni, Shihab & Brandani, Stefano & Vasta, Salvatore & Santori, Giulio, 2021. "Solar powered adsorption desalination for Northern and Southern Europe," Energy, Elsevier, vol. 232(C).
    4. Santori, Giulio & Charalambous, Charithea & Ferrari, Maria-Chiara & Brandani, Stefano, 2018. "Adsorption artificial tree for atmospheric carbon dioxide capture, purification and compression," Energy, Elsevier, vol. 162(C), pages 1158-1168.
    5. Zhang, Z.X. & Xu, H.J., 2023. "Thermodynamic modeling on multi-stage vacuum-pressure swing adsorption (VPSA) for direct air carbon capture with extreme dilute carbon dioxide," Energy, Elsevier, vol. 276(C).
    6. Mauro Luberti & Chiara Di Santis & Giulio Santori, 2020. "Ammonia/Ethanol Mixture for Adsorption Refrigeration," Energies, MDPI, vol. 13(4), pages 1-18, February.
    7. Jiang, L. & Roskilly, A.P. & Wang, R.Z. & Wang, L.W., 2018. "Analysis on innovative resorption cycle for power and refrigeration cogeneration," Applied Energy, Elsevier, vol. 218(C), pages 10-21.
    8. Yunlong Ma & Suvash C. Saha & Wendy Miller & Lisa Guan, 2017. "Parametric Analysis of Design Parameter Effects on the Performance of a Solar Desiccant Evaporative Cooling System in Brisbane, Australia," Energies, MDPI, vol. 10(7), pages 1-22, June.

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