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Parametric Analysis of Design Parameter Effects on the Performance of a Solar Desiccant Evaporative Cooling System in Brisbane, Australia

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  • Yunlong Ma

    (School of Chemistry Physics and Mechanical Engineering, Queensland University of Technology (QUT), 2 George Street, Brisbane, QLD 4000, Australia)

  • Suvash C. Saha

    (School of Chemistry Physics and Mechanical Engineering, Queensland University of Technology (QUT), 2 George Street, Brisbane, QLD 4000, Australia)

  • Wendy Miller

    (School of Chemistry Physics and Mechanical Engineering, Queensland University of Technology (QUT), 2 George Street, Brisbane, QLD 4000, Australia)

  • Lisa Guan

    (Faculty of Design, Architecture & Building, University of Technology Sydney, PO Box 123, Broadway, Sydney, NSW 2007, Australia)

Abstract

Solar desiccant cooling is widely considered as an attractive replacement for conventional vapor compression air conditioning systems because of its environmental friendliness and energy efficiency advantages. The system performance of solar desiccant cooling strongly depends on the input parameters associated with the system components, such as the solar collector, storage tank and backup heater, etc. In order to understand the implications of different design parameters on the system performance, this study has conducted a parametric analysis on the solar collector area, storage tank volume, and backup heater capacity of a solid solar desiccant cooling system for an office building in Brisbane, Australia climate. In addition, a parametric analysis on the outdoor air humidity ratio control set-point which triggers the operation of the desiccant wheel has also been investigated. The simulation results have shown that either increasing the storage tank volume or increasing solar collector area would result in both increased solar fraction ( SF ) and system coefficient of performance ( COP ), while at the same time reduce the backup heater energy consumption. However, the storage tank volume is more sensitive to the system performance than the collector area. From the economic aspect, a storage capacity of 30 m 3 /576 m 2 has the lowest life cycle cost ( LCC ) of $405,954 for the solar subsystem. In addition, 100 kW backup heater capacity is preferable for the satisfaction of the design regeneration heating coil hot water inlet temperature set-point with relatively low backup heater energy consumption. Moreover, an outdoor air humidity ratio control set-point of 0.008 kgWater/kgDryAir is more reasonable, as it could both guarantee the indoor design conditions and achieve low backup heater energy consumption.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:849-:d:102556
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    References listed on IDEAS

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    1. M. Mujahid Rafique & Shafiqur Rehman & Aref Lashin & Nassir Al Arifi, 2016. "Analysis of a Solar Cooling System for Climatic Conditions of Five Different Cities of Saudi Arabia," Energies, MDPI, vol. 9(2), pages 1-13, January.
    2. Baniyounes, Ali M. & Liu, Gang & Rasul, M.G. & Khan, M.M.K., 2013. "Comparison study of solar cooling technologies for an institutional building in subtropical Queensland, Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 421-430.
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    5. M. Mujahid Rafique & Shafiqur Rehman & Luai M. Alhems & Aref Lashin, 2016. "Parametric Analysis of a Rotary Type Liquid Desiccant Air Conditioning System," Energies, MDPI, vol. 9(4), pages 1-15, April.
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    7. Giovanni Angrisani & Carlo Roselli & Maurizio Sasso & Francesco Tariello & Giuseppe Peter Vanoli, 2016. "Performance Assessment of a Solar-Assisted Desiccant-Based Air Handling Unit Considering Different Scenarios," Energies, MDPI, vol. 9(9), pages 1-24, September.
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    Cited by:

    1. Rasikh Tariq & Changhong Zhan & Nadeem Ahmed Sheikh & Xudong Zhao, 2018. "Thermal Performance Enhancement of a Cross-Flow-Type Maisotsenko Heat and Mass Exchanger Using Various Nanofluids," Energies, MDPI, vol. 11(10), pages 1-19, October.
    2. Zuoyu Liu & Weimin Zheng & Feng Qi & Lei Wang & Bo Zou & Fushuan Wen & You Xue, 2018. "Optimal Dispatch of a Virtual Power Plant Considering Demand Response and Carbon Trading," Energies, MDPI, vol. 11(6), pages 1-19, June.
    3. Hiba Najini & Mutasim Nour & Sulaiman Al-Zuhair & Fadi Ghaith, 2020. "Techno-Economic Analysis of Green Building Codes in United Arab Emirates Based on a Case Study Office Building," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
    4. Yunlong Ma & Suvash C. Saha & Wendy Miller & Lisa Guan, 2017. "Comparison of Different Solar-Assisted Air Conditioning Systems for Australian Office Buildings," Energies, MDPI, vol. 10(10), pages 1-27, September.
    5. Pedro J. Martínez & Carlos Llorca & José A. Pla & Pedro Martínez, 2017. "Experimental Validation of the Simulation Model of a DOAS Equipped with a Desiccant Wheel and a Vapor Compression Refrigeration System," Energies, MDPI, vol. 10(9), pages 1-15, September.
    6. Lanbo Lai & Xiaolin Wang & Gholamreza Kefayati & Eric Hu, 2021. "Evaporative Cooling Integrated with Solid Desiccant Systems: A Review," Energies, MDPI, vol. 14(18), pages 1-23, September.
    7. M. Mujahid Rafique & Shafiqur Rehman & Luai M. Alhems & Muhammad Ali Shakir, 2017. "A Liquid Desiccant Enhanced Two Stage Evaporative Cooling System—Development and Performance Evaluation of a Test Rig," Energies, MDPI, vol. 11(1), pages 1-17, December.

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