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Modeling and Dynamic Simulation of a Phase-Change Material Tank for Powering Chiller Generators in District Cooling Networks

Author

Listed:
  • Emad Ali

    (Chemical Engineering Department, King Saud University, Riyadh 11362, Saudi Arabia)

  • Abdelhamid Ajbar

    (Chemical Engineering Department, King Saud University, Riyadh 11362, Saudi Arabia)

  • Bilal Lamrani

    (MANAPSE Laboratory, Faculty of Sciences, Moahmmed V University in Rabat, Rabat 10000, Morocco)

Abstract

Latent heat storage in district cooling systems (DCS) offers advantages such as energy efficiency, load shifting, and flexibility. It optimizes energy utilization by storing thermal energy during off-peak hours and using it during peak periods. This results in cost savings, a reduced environmental impact, and the enhanced reliability of the cooling system. In the present study, a novel system consisting of a phase-change material (PCM) tank coupled to a 120 kW chiller generator for cooling is proposed. During peak cooling loads, the proposed PCM tank is intended to supply consistent thermal power at an appropriate temperature. The system is modeled using the lumped-capacitance approach, and the effective thermal capacity approach is used to model the PCM’s phase-transition phenomena. The system’s dynamic performance is evaluated, and the impact of various parameters during the PCM-tank discharging process is analyzed. The computational findings are compared to experimental data taken from a real district network, and there is excellent agreement. Results showed that increasing the needed heat rate for the cooling process from 120 kW to 160 kW decreases the PCM tank’s discharging duration by about 20% and increases pump energy consumption. It was also found that increasing the capacity of the PCM tank is advantageous for the cooling process as it extends the duration of 120 kW constant power production by about 62% when the tank volume is increased from 5 m 3 to 10 m 3 . Finally, it was shown that the choice of the PCM type is crucial for improving the cooling performance. Erythritol is a suitable storage medium in the tank compared to A118 and MgCl 2 ·6H 2 O, and using erythritol instead of PCM A118 increases the period of continuous thermal power generation by about 67%.

Suggested Citation

  • Emad Ali & Abdelhamid Ajbar & Bilal Lamrani, 2023. "Modeling and Dynamic Simulation of a Phase-Change Material Tank for Powering Chiller Generators in District Cooling Networks," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10332-:d:1183325
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    References listed on IDEAS

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    1. Fiorentini, Massimo & Heer, Philipp & Baldini, Luca, 2023. "Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage," Energy, Elsevier, vol. 262(PB).
    2. Lamrani, Bilal & Kuznik, Frédéric & Draoui, Abdeslam, 2020. "Thermal performance of a coupled solar parabolic trough collector latent heat storage unit for solar water heating in large buildings," Renewable Energy, Elsevier, vol. 162(C), pages 411-426.
    3. Tehrani, S. Saeed Mostafavi & Taylor, Robert A. & Saberi, Pouya & Diarce, Gonzalo, 2016. "Design and feasibility of high temperature shell and tube latent heat thermal energy storage system for solar thermal power plants," Renewable Energy, Elsevier, vol. 96(PA), pages 120-136.
    4. Agyenim, Francis, 2016. "The use of enhanced heat transfer phase change materials (PCM) to improve the coefficient of performance (COP) of solar powered LiBr/H2O absorption cooling systems," Renewable Energy, Elsevier, vol. 87(P1), pages 229-239.
    5. Li, Gang & Zheng, Xuefei, 2016. "Thermal energy storage system integration forms for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 736-757.
    6. Bastida, Hector & De la Cruz-Loredo, Ivan & Ugalde-Loo, Carlos E., 2023. "Effective estimation of the state-of-charge of latent heat thermal energy storage for heating and cooling systems using non-linear state observers," Applied Energy, Elsevier, vol. 331(C).
    7. Østergaard, Poul Alberg & Werner, Sven & Dyrelund, Anders & Lund, Henrik & Arabkoohsar, Ahmad & Sorknæs, Peter & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Mathiesen, Brian Vad, 2022. "The four generations of district cooling - A categorization of the development in district cooling from origin to future prospect," Energy, Elsevier, vol. 253(C).
    8. Valerie Eveloy & Dereje S. Ayou, 2019. "Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions," Energies, MDPI, vol. 12(2), pages 1-64, January.
    9. Jiangjiang Wang & Rujing Yan & Zhuang Wang & Xutao Zhang & Guohua Shi, 2018. "Thermal Performance Analysis of an Absorption Cooling System Based on Parabolic Trough Solar Collectors," Energies, MDPI, vol. 11(10), pages 1-17, October.
    10. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    11. Nie, Binjian & Palacios, Anabel & Zou, Boyang & Liu, Jiaxu & Zhang, Tongtong & Li, Yunren, 2020. "Review on phase change materials for cold thermal energy storage applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
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