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Energy Performance Assessment of a Novel Solar Poly-Generation System Using Various ORC Working Fluids in Residential Buildings

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  • Fahad Awjah Almehmadi

    (Department of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch, King Saud University, Riyadh 11421, Saudi Arabia)

  • H. F. Elattar

    (Department of Mechanical Engineering, Benha Faculty of Engineering, Benha University, Benha 13511, Egypt
    Department of Mechanical and Materials Engineering, Faculty of Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia)

  • A. Fouda

    (Department of Mechanical and Materials Engineering, Faculty of Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia
    Department of Mechanical Power Engineering, Faculty of Engineering, Mansoura University, El-Mansoura 35516, Egypt)

  • Saeed Alqaed

    (Mechanical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Jawed Mustafa

    (Mechanical Engineering Department, College of Engineering, Najran University, Najran 61441, Saudi Arabia)

  • Mathkar A. Alharthi

    (Department of Chemical Engineering, College of Engineering at Yanbu, Taibah University, Yanbu Al-Bahr 41911, Saudi Arabia)

  • H. A. Refaey

    (Department of Mechanical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo 11629, Egypt
    Department of Mechanical Engineering, College of Engineering at Yanbu, Taibah University, Yanbu Al-Bahr 41911, Saudi Arabia)

Abstract

Poly-generation systems are an exciting new technology that provide an alternative to separating existing energy production methods in buildings. A poly-generation system enables the efficient simultaneous production of heating, cooling, fresh water, and electricity, resulting in many technological, economic, energy recovery, and environmental advantages. This study numerically investigates three proposed novel solar-driven poly-generation systems (BS, IS-I, and IS-II) integrated with organic Rankine cycle (ORC), humidification-dehumidification desalination system (HDH), and desiccant cooling system (DCS) with different heat recovery system arrangements. The suggested systems supply residential structures with energy, space conditioning, domestic heating, and fresh water. The effects of system operating circumstances on productivity and performance characteristics and several organic working fluid types (n-octane, R245fa, R113, isopentane, and toluene) on optimum system performance have been investigated. The results show that (i) the average enhancement percentage of TGOR using integrated poly-generation systems over the separated ones is 68.5%, 68.5%, and 95.5% for BS, IS-I, and IS-II systems, respectively; (ii) when comparing the three systems, the IS-I system outperforms the other systems (BS & IS-II); and (iii) the maximum values of W • net , m • fresh , Q • cooling , and Q • heating , obtained for different proposed systems using n-octane are 102 kW (all systems), 214.7 kg/h (IS-II), 29.94 kW (IS-II), and 225.6 kW (IS-I); (iv) R113 has the highest TGOR of 0.6924 (IS-I) compared to other organic fluids. (v) The improvements in W n e t • , m f r e s h • , Q c o o l i n g • and Q h e a t i n g • with using toluene instead of R113 at t f1 = 40 °C are 177.5%, 105.8%, 389.25%, and 79%, respectively.

Suggested Citation

  • Fahad Awjah Almehmadi & H. F. Elattar & A. Fouda & Saeed Alqaed & Jawed Mustafa & Mathkar A. Alharthi & H. A. Refaey, 2022. "Energy Performance Assessment of a Novel Solar Poly-Generation System Using Various ORC Working Fluids in Residential Buildings," Energies, MDPI, vol. 15(21), pages 1-25, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8286-:d:964707
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    References listed on IDEAS

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    1. Yari, Mortaza & Ariyanfar, Leyli & Aghdam, Ebrahim Abdi, 2018. "Analysis and performance assessment of a novel ORC based multi-generation system for power, distilled water and heat," Renewable Energy, Elsevier, vol. 119(C), pages 262-281.
    2. Habka, Muhsen & Ajib, Salman, 2015. "Evaluation of mixtures performances in Organic Rankine Cycle when utilizing the geothermal water with and without cogeneration," Applied Energy, Elsevier, vol. 154(C), pages 567-576.
    3. Christos Tzivanidis & Evangelos Bellos, 2020. "A Comparative Study of Solar-Driven Trigeneration Systems for the Building Sector," Energies, MDPI, vol. 13(8), pages 1-21, April.
    4. Galloni, E. & Fontana, G. & Staccone, S., 2015. "Design and experimental analysis of a mini ORC (organic Rankine cycle) power plant based on R245fa working fluid," Energy, Elsevier, vol. 90(P1), pages 768-775.
    5. Pang, Kuo-Cheng & Chen, Shih-Chi & Hung, Tzu-Chen & Feng, Yong-Qiang & Yang, Shih-Cheng & Wong, Kin-Wah & Lin, Jaw-Ren, 2017. "Experimental study on organic Rankine cycle utilizing R245fa, R123 and their mixtures to investigate the maximum power generation from low-grade heat," Energy, Elsevier, vol. 133(C), pages 636-651.
    6. Puig-Arnavat, Maria & Bruno, Joan Carles & Coronas, Alberto, 2014. "Modeling of trigeneration configurations based on biomass gasification and comparison of performance," Applied Energy, Elsevier, vol. 114(C), pages 845-856.
    7. Li, Jiaojiao & Zoghi, Mohammad & Zhao, Linfeng, 2022. "Thermo-economic assessment and optimization of a geothermal-driven tri-generation system for power, cooling, and hydrogen production," Energy, Elsevier, vol. 244(PB).
    8. Mehrpooya, Mehdi & Moftakhari Sharifzadeh, Mohammad Mehdi & Rosen, Marc A., 2016. "Energy and exergy analyses of a novel power cycle using the cold of LNG (liquefied natural gas) and low-temperature solar energy," Energy, Elsevier, vol. 95(C), pages 324-345.
    9. Panaras, G. & Mathioulakis, E. & Belessiotis, V. & Kyriakis, N., 2010. "Theoretical and experimental investigation of the performance of a desiccant air-conditioning system," Renewable Energy, Elsevier, vol. 35(7), pages 1368-1375.
    10. Lian, Z.T. & Chua, K.J. & Chou, S.K., 2010. "A thermoeconomic analysis of biomass energy for trigeneration," Applied Energy, Elsevier, vol. 87(1), pages 84-95, January.
    11. Fong, K.F. & Lee, C.K., 2014. "Investigation on zero grid-electricity design strategies of solid oxide fuel cell trigeneration system for high-rise building in hot and humid climate," Applied Energy, Elsevier, vol. 114(C), pages 426-433.
    12. Bellos, Evangelos & Tzivanidis, Christos, 2018. "Multi-objective optimization of a solar driven trigeneration system," Energy, Elsevier, vol. 149(C), pages 47-62.
    13. Abdelhay, AymanO. & Fath, HassanE.S. & Nada, S.A., 2020. "Solar driven polygeneration system for power, desalination and cooling," Energy, Elsevier, vol. 198(C).
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    Cited by:

    1. Saeed Alqaed & Ali Fouda & Hassan F. Elattar & Jawed Mustafa & Fahad Awjah Almehmadi & Hassanein A. Refaey & Mathkar A. Alharthi, 2022. "Performance Evaluation of a Solar Heat-Driven Poly-Generation System for Residential Buildings Using Various Arrangements of Heat Recovery Units," Energies, MDPI, vol. 15(22), pages 1-26, November.

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