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Performance enhancement of adsorption cooling and desalination systems by fluidized bed integration: Experimental and big data optimization

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  • Krzywanski, J.
  • Sztekler, K.
  • Lasek, L.
  • Kalawa, W.
  • Grabowska, K.
  • Sosnowski, M.
  • Zylka, A.
  • Skrobek, D.
  • Nowak, W.
  • Shboul, Bashar

Abstract

Adsorption cycles, as one of the most effective methods of chilled and freshwater production, offer a significant advantage over other systems that use low-grade heat, particularly waste heat, at near-ambient temperatures. However, poor heat and mass transfer conditions in conventional fixed adsorption beds decrease main energy efficiency factors and performance indicators, mainly specific cooling capacity (SCP) and specific daily water production (SDWP).

Suggested Citation

  • Krzywanski, J. & Sztekler, K. & Lasek, L. & Kalawa, W. & Grabowska, K. & Sosnowski, M. & Zylka, A. & Skrobek, D. & Nowak, W. & Shboul, Bashar, 2025. "Performance enhancement of adsorption cooling and desalination systems by fluidized bed integration: Experimental and big data optimization," Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:energy:v:315:y:2025:i:c:s0360544224041252
    DOI: 10.1016/j.energy.2024.134347
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    References listed on IDEAS

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    1. Fu, Rong-Huan & Zhao, Tian & Yuan, Meng-Di & Du, Yan-Jun, 2025. "Modular surrogate modeling-based optimization framework for thermohydraulic systems assisted by machine learning," Energy, Elsevier, vol. 323(C).

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