Journals / International Journal of Thermodynamics / 2011 / Cilt: 14 - Sayı: 3

Normalized Thermodynamic Model for Intermittent Energy Systems and Application to Solar-Powered Adsorption Cooling Systems

Pages
107–115
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulation results also show the effects of operating conditions and several design parameters on the system's COP.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A new normalized model is developed to quantify and explore trends in coincidence of supply and demand in generic intermittent energy systems as key design and operating parameters are varied.
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Key Findings & Data:Additionally, the system's basic performance trends are investigated as a number of parameters are varied.
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Conclusion & Impact:Simulation results also show the effects of operating conditions and several design parameters on the system's COP.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Adsorption cooling · coincidence · demand

Abstract

A new normalized model is developed to quantify and explore trends in coincidence of supply and demand in generic intermittent energy systems as key design and operating parameters are varied. This novel model is applied to seasonal-transient simulations for a solar-thermal powered adsorption system with and without heat recovery to investigate the coincidence between the solar-supplied cooling power and cooling load in terms of seasonal solar and loss fractions. Additionally, the system's basic performance trends are investigated as a number of parameters are varied. Results for the conditions explored include the following. The solar fraction increases and the loss fraction decreases with increases in storage capacity, and both fractions decrease with increases in maximum bed temperature. The required evacuated tube collector area is smaller than the flat plate collector area while the required mass of adsorbent is independent of collector and adsorption cycle types. Simulation results also show the effects of operating conditions and several design parameters on the system's COP.

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Cite This Article

TAYLAN, O., KAFTANOĞLU, B., BAKER, D. K. (2022). Normalized Thermodynamic Model for Intermittent Energy Systems and Application to Solar-Powered Adsorption Cooling Systems. International Journal of Thermodynamics, Cilt: 14 - Sayı: 3, 107–115. https://ajindex.com/articles/541904

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References (9)

  1. Storage Saturation Adsorbent bed shell Sol sys tot wb Wet bulb Abbreviations COP ET FP HRec Heat recovery adsorption cooling cycle HTF SPAC Solar-thermal powered adsorption cooling TR Thermal reservoir References Baker, D. K. (2008). Thermodynamic limits to thermal regeneration in adsorption cooling cycles. International Journal of Refrigeration, 31(1), 55-64.
  2. Baker, D. K., & Kaftanoglu, B. (2007). Limits to the Thermodynamic Performance of A Thermal Wave Adsorption Cooling Cycle. Paper presented at the International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics (HEFAT), Sun City, South Africa. Baker, D. K., & Kaftanoglu, B. (2007). Predicted Impact of Collector and Zeolite Choice on the Thermodynamic and Economic Performance of a Solar-Powered Adsorption Cooling System. Experimental Heat Transfer, 20(2), 103 - 122. Baker, D. K., & Kaftanoglu, B. (2008). Trends in COP for Adsorption Cooling Cycles with Thermal Regeneration and Finite Number of Beds. Paper presented at the Energy Sustainability 2008,
  3. Jacksonville, Florida, USA. Baker, J. (2008). New technology and possible advances in energy storage. Energy Policy, 36(12), 4368-4373.
  4. Battaglini, A., Lilliestam, J., Haas, A., & Patt, A. (2009). Development of SuperSmart Grids for a more efficient utilisation of electricity from renewable sources. Journal of Cleaner Production, 17(10), 911-918.
  5. Ben Amar, N., Sun, L. M., & Meunier, F. (1996). Numerical analysis of adsorptive temperature wave regenerative heat pump Applied Thermal Engineering, 16, 405-418.
  6. Benitez, L. E., Benitez, P. C., & van Kooten, G. C. (2008). The economics of wind power with energy storage. Energy Economics, 30(4), 1973-1989.
  7. Brissette, F. (2005). Thermodynamic properties of water [MatLab]. Montreal: Université du Québec. Cruickshank, C. A. (2009). Evaluation of a Stratified Multi- Tank Thermal Storage for Solar Heating Applications. Ph.D. Dissertation, Queen’s University, Ontario. Denholm, P., & Margolis, R. M. (2007). Evaluating the limits of solar photovoltaics (PV) in electric power systems utilizing energy storage and other enabling technologies. Energy Policy, 35(9), 4424-4433.
  8. Dieng, A. O., & Wang, R. Z. (2001). Literature review on solar adsorption technologies for ice-making and air- conditioning purposes and recent developments in solar technology. Renewable and Sustainable Energy Reviews, 5(4), 313-342.
  9. Divya, K. C., & Østergaard, J. (2009). Battery energy storage technology for power systems--An overview. Ele