IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11663-d917111.html
   My bibliography  Save this article

Selection of Best Suitable Eco-Friendly Refrigerants for HVAC Sector and Renewable Energy Devices

Author

Listed:
  • Basma Souayeh

    (Al Bilad Bank Scholarly Chair for Food Security in Saudi Arabia, The Deanship of Scientific Research, The Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    Department of Physics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia
    Laboratory of Fluid Mechanics, Department of Physics, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia)

  • Suvanjan Bhattacharyya

    (Department of Mechanical Engineering, BITS Pilani, Pilani Campus, Vidya Vihar 333031, Rajasthan, India)

  • Najib Hdhiri

    (Laboratory of Fluid Mechanics, Department of Physics, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis 2092, Tunisia)

  • Mir Waqas Alam

    (Al Bilad Bank Scholarly Chair for Food Security in Saudi Arabia, The Deanship of Scientific Research, The Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    Department of Physics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia)

Abstract

This paper investigates the selection of the best suitable eco-friendly organic and in-organic refrigerants for heating, ventilation, and air conditioning (HVAC) and renewable energy devices. Inorganic and organic refrigerants are used to cool renewable energy devices, such as solar cells, photovoltaics, and electronic devices. Owing to the renewable energy community’s importance, development in this area has rapidly improved over the past few years. R134a, R404, and R717 have become the most used refrigerants in the HVAC sector and supermarkets across the globe for both cooling and frozen food refrigeration. R134a and R404A have two significant drawbacks: (a) they do not attain optimal energy efficiency in many applications, and (b) they have a large global warming potential (GWP). Hence, optimization experiments were performed to select low global potential refrigerants for replacing R134a and R404A from the HVAC sector and supermarkets using multi-criteria making (MCDN) tools. The techniques used for investigation involved (i) the technique for order of preference by similarity to ideal solution (TOPSIS), (ii) evaluation based on distance from average solution (EDAS), and (iii) multi-objective optimization based on ratio analysis (MOORA). The assessment criteria of optimization involved (i) thermo–physical properties of refrigerants, (ii) environmental aspects of refrigerants, and (iii) economic status of refrigerants. Out of 27 refrigerants chosen for the study, R290 (PROPANE) aced the selection by all the three techniques, i.e., TOPSIS, EDAS, and MOORA, with assessment scores of 0.6056, 0.6761, and 0.466, respectively. R41 (FLUOROMETHANE) is the least preferred refrigerant by EDAS (assessment score—0.3967) and MOORA, while R407C is the least preferred by TOPSIS (assessment value—0.5123). The likelihood of making a bad refrigerant decision may be reduced by the effective evaluation of the MCDM analysis. In conclusion, the suggested MCDM technique provides a practical tool and systematic way for reducing the number of options and may be utilized to identify the ideal refrigerant.

Suggested Citation

  • Basma Souayeh & Suvanjan Bhattacharyya & Najib Hdhiri & Mir Waqas Alam, 2022. "Selection of Best Suitable Eco-Friendly Refrigerants for HVAC Sector and Renewable Energy Devices," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11663-:d:917111
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11663/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11663/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ammar A. Melaibari & Yacine Khetib & Abdullah K. Alanazi & S. Mohammad Sajadi & Mohsen Sharifpur & Goshtasp Cheraghian, 2021. "Applying Artificial Neural Network and Response Surface Method to Forecast the Rheological Behavior of Hybrid Nano-Antifreeze Containing Graphene Oxide and Copper Oxide Nanomaterials," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    2. Saeed Khojaste Effatpanah & Mohammad Hossein Ahmadi & Pasura Aungkulanon & Akbar Maleki & Milad Sadeghzadeh & Mohsen Sharifpur & Lingen Chen, 2022. "Comparative Analysis of Five Widely-Used Multi-Criteria Decision-Making Methods to Evaluate Clean Energy Technologies: A Case Study," Sustainability, MDPI, vol. 14(3), pages 1-33, January.
    3. Yang, Kun & Zhu, Neng & Chang, Chen & Wang, Daquan & Yang, Shan & Ma, Shengming, 2018. "A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study," Energy, Elsevier, vol. 165(PB), pages 1085-1096.
    4. Amir Zolghadri & Heydar Maddah & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Predicting Parameters of Heat Transfer in a Shell and Tube Heat Exchanger Using Aluminum Oxide Nanofluid with Artificial Neural Network (ANN) and Self-Organizing Map (SOM)," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Basma Souayeh & Suvanjan Bhattacharyya & Najib Hdhiri & Fayçal Hammami & Essam Yasin & S. Suresh Kumar Raju & Mir Waqas Alam & Tarfa Alsheddi & Muneerah Al Nuwairan, 2022. "Effect of Magnetic Baffles and Magnetic Nanofluid on Thermo-Hydraulic Characteristics of Dimple Mini Channel for Thermal Energy Applications," Sustainability, MDPI, vol. 14(16), pages 1-27, August.
    2. Fatih Topaloğlu, 2024. "Development of a new hybrid method for multi-criteria decision making (MCDM) approach: a case study for facility location selection," Operational Research, Springer, vol. 24(4), pages 1-23, December.
    3. Roberta Moschetti & Shabnam Homaei & Ellika Taveres-Cachat & Steinar Grynning, 2022. "Assessing Responsive Building Envelope Designs through Robustness-Based Multi-Criteria Decision Making in Zero-Emission Buildings," Energies, MDPI, vol. 15(4), pages 1-27, February.
    4. Kenzhekhanov, Sultan & Memon, Shazim Ali & Adilkhanova, Indira, 2020. "Quantitative evaluation of thermal performance and energy saving potential of the building integrated with PCM in a subarctic climate," Energy, Elsevier, vol. 192(C).
    5. Ammar A. Melaibari & Yacine Khetib & Abdullah K. Alanazi & S. Mohammad Sajadi & Mohsen Sharifpur & Goshtasp Cheraghian, 2021. "Applying Artificial Neural Network and Response Surface Method to Forecast the Rheological Behavior of Hybrid Nano-Antifreeze Containing Graphene Oxide and Copper Oxide Nanomaterials," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    6. Yuan, Jiahang & Luo, Xinggang & Li, Zhendong & Li, Lingfei & Ji, Pengli & Zhou, Qing & Zhang, Zhongliang, 2021. "Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data," Renewable Energy, Elsevier, vol. 169(C), pages 1175-1189.
    7. Rocha, Thiago Torres Martins & Teggar, Mohamed & Trevizoli, Paulo Vinicius & de Oliveira, Raphael Nunes, 2023. "Potential of latent thermal energy storage for performance improvement in small-scale refrigeration units: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    8. Homaei, Shabnam & Hamdy, Mohamed, 2020. "A robustness-based decision making approach for multi-target high performance buildings under uncertain scenarios," Applied Energy, Elsevier, vol. 267(C).
    9. Thejaraju Rajashekaraiah & Girisha Kanuvanahalli Bettaiah & Parvathy Rajendran & Mohamed Abbas & Sher Afghan Khan & C. Ahamed Saleel, 2022. "Numerical Modelling and Experimental Validation of Novel Para Winglet Tape for Heat Transfer Enhancement," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
    10. Krishankumar, Raghunathan & Pamucar, Dragan & Deveci, Muhammat & Aggarwal, Manish & Ravichandran, Kattur Soundarapandian, 2022. "Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach," Renewable Energy, Elsevier, vol. 189(C), pages 1428-1442.
    11. Sandra Cunha & Antonella Sarcinella & José Aguiar & Mariaenrica Frigione, 2023. "Perspective on the Development of Energy Storage Technology Using Phase Change Materials in the Construction Industry: A Review," Energies, MDPI, vol. 16(12), pages 1-32, June.
    12. Dinçer, Hasan & Yüksel, Serhat & Hacioglu, Umit & Yilmaz, Mustafa K. & Delen, Dursun, 2023. "Development of a sustainable corporate social responsibility index for performance evaluation of the energy industry: A hybrid decision-making methodology," Resources Policy, Elsevier, vol. 85(PA).
    13. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    14. Mukhamet, Tileuzhan & Kobeyev, Sultan & Nadeem, Abid & Memon, Shazim Ali, 2021. "Ranking PCMs for building façade applications using multi-criteria decision-making tools combined with energy simulations," Energy, Elsevier, vol. 215(PB).
    15. Yang, Kun & Zhu, Neng & Li, Yongzhao & Du, Na, 2021. "Effect of parameters on the melting performance of triplex tube heat exchanger incorporating phase change material," Renewable Energy, Elsevier, vol. 174(C), pages 359-371.
    16. Esmanur Uçal & Hasan Yildizhan & Arman Ameen & Zafer Erbay, 2023. "Assessment of Whole Milk Powder Production by a Cumulative Exergy Consumption Approach," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    17. Seyed Mohammad Seyed Alavi & Akbar Maleki & Ali Khaleghi, 2022. "Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran [Selection of optimal location and design of a stand-alone photovoltaic scheme," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1319-1337.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11663-:d:917111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.