IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v16y2021i1p156-164..html
   My bibliography  Save this article

Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network
[Thermodynamic performance evaluation of a novel solar energy based multigeneration system]

Author

Listed:
  • Zafer Utlu
  • Mert Tolon
  • Arif Karabuga

Abstract

The present study focuses on the organic Rankine cycle (ORC) integrated into an evacuated tube heat pipe (ETHP), whose systems are an alternative solar energy system to low-efficiency planary collectors. In this work, a detailed thermodynamic and artificial neural network (ANN) analysis was conducted to evaluate the solar energy system. One of the key parameters of sustainable approaches focused on exergy efficiency is application of thermal engineering. In addition to this, sustainable engineering approaches nowadays are a necessity for improving the efficiency of all of the engineering research areas. For this reason, the ANN model is used to forecast different types of energy efficiency problems in thermodynamic literature. The examined system consists of two main parts such as the ETHP system and the ORC system used for thermal energy production. With this system, it is aimed to evaluate energy and exergy analysis results by the ANN method in the case of integrating the ORC system to ETHP, which is one of the planar collectors suitable for the roofs of the buildings. Within the scope of this study, the exergy efficiency was evaluated on the developed ANN algorithm. The effect rates of parameters such as pressure, temperature and ambient temperature affecting the exergy efficiency of ORC integrated ETHP were calculated. Ambient temperature was found to be the most influential parameter on exergy efficiency. The exergy efficiency of the whole system has been calculated as ~23.39%. The most suitable BPNN architecture for this case study is recurrent networks with dampened feedback (Jordan–Elman nets). The success rate of the developed BPNN model is 95.4%.

Suggested Citation

  • Zafer Utlu & Mert Tolon & Arif Karabuga, 2021. "Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network [Thermodynamic performance evaluation of a novel solar energy base," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(1), pages 156-164.
    • Handle: RePEc:oup:ijlctc:v:16:y:2021:i:1:p:156-164.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctaa033
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jorge Facão & Ana Palmero-Marrero & Armando C. Oliveira, 2008. "Analysis of a solar assisted micro-cogeneration ORC system," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 3(4), pages 254-264, October.
    2. Lili Wei & Zhenjun Ma & Xuemei Gong & Xiujuan Guo, 2019. "Experimental investigation and performance analysis of an Organic Rankine Cycle for low-temperature heat to electricity generation," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 14(4), pages 500-507.
    3. Tong, Yijie & Kim, Jinhyun & Cho, Honghyun, 2015. "Effects of thermal performance of enclosed-type evacuated U-tube solar collector with multi-walled carbon nanotube/water nanofluid," Renewable Energy, Elsevier, vol. 83(C), pages 463-473.
    4. Huang, Xiaona & Wang, Qiliang & Yang, Honglun & Zhong, Shuai & Jiao, Dongsheng & Zhang, Kaili & Li, Mujun & Pei, Gang, 2019. "Theoretical and experimental studies of impacts of heat shields on heat pipe evacuated tube solar collector," Renewable Energy, Elsevier, vol. 138(C), pages 999-1009.
    5. Muhyiddine Jradi & Jinxing Li & Hao Liu & Saffa Riffat, 2014. "Micro-scale ORC-based combined heat and power system using a novel scroll expander," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 9(2), pages 91-99.
    6. Ersöz, Mustafa Ali, 2016. "Effects of different working fluid use on the energy and exergy performance for evacuated tube solar collector with thermosyphon heat pipe," Renewable Energy, Elsevier, vol. 96(PA), pages 244-256.
    7. Ghritlahre, Harish Kumar & Prasad, Radha Krishna, 2018. "Application of ANN technique to predict the performance of solar collector systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 75-88.
    8. Marugán, Alberto Pliego & Márquez, Fausto Pedro García & Perez, Jesus María Pinar & Ruiz-Hernández, Diego, 2018. "A survey of artificial neural network in wind energy systems," Applied Energy, Elsevier, vol. 228(C), pages 1822-1836.
    9. Zafer Utlu & Büşra Selenay Önal, 2018. "Thermodynamic analysis of thermophotovoltaic systems used in waste heat recovery systems: an application," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(1), pages 52-60.
    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. Chopra, K. & Tyagi, V.V. & Pandey, A.K. & Sari, Ahmet, 2018. "Global advancement on experimental and thermal analysis of evacuated tube collector with and without heat pipe systems and possible applications," Applied Energy, Elsevier, vol. 228(C), pages 351-389.
    2. Essa, Mohamed A. & Asal, Manar & Saleh, Mohamed A. & Shaltout, R.E., 2021. "A comparative study of the performance of a novel helical direct flow U-Tube evacuated tube collector," Renewable Energy, Elsevier, vol. 163(C), pages 2068-2080.
    3. Mostafa Esmaeili Shayan & Gholamhassan Najafi & Barat Ghobadian & Shiva Gorjian & Mohamed Mazlan & Mehdi Samami & Alireza Shabanzadeh, 2022. "Flexible Photovoltaic System on Non-Conventional Surfaces: A Techno-Economic Analysis," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    4. Heo, SungKu & Byun, Jaewon & Ifaei, Pouya & Ko, Jaerak & Ha, Byeongmin & Hwangbo, Soonho & Yoo, ChangKyoo, 2024. "Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Kaya, Hüseyin & Arslan, Kamil & Eltugral, Nurettin, 2018. "Experimental investigation of thermal performance of an evacuated U-Tube solar collector with ZnO/Etylene glycol-pure water nanofluids," Renewable Energy, Elsevier, vol. 122(C), pages 329-338.
    6. Gao, Datong & Zhao, Bin & Kwan, Trevor Hocksun & Hao, Yong & Pei, Gang, 2022. "The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions," Applied Energy, Elsevier, vol. 321(C).
    7. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
    8. Freeman, J. & Markides, C.N., 2024. "A solar diffusion-absorption refrigeration system for off-grid cold-chain provision, Part II: System simulation and assessment of performance," Renewable Energy, Elsevier, vol. 230(C).
    9. Song, Panpan & Wei, Mingshan & Liu, Zhen & Zhao, Ben, 2015. "Effects of suction port arrangements on a scroll expander for a small scale ORC system based on CFD approach," Applied Energy, Elsevier, vol. 150(C), pages 274-285.
    10. Ajbar, Wassila & Parrales, A. & Huicochea, A. & Hernández, J.A., 2022. "Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    11. Bhalla, Vishal & Khullar, Vikrant & Tyagi, Himanshu, 2018. "Experimental investigation of photo-thermal analysis of blended nanoparticles (Al2O3/Co3O4) for direct absorption solar thermal collector," Renewable Energy, Elsevier, vol. 123(C), pages 616-626.
    12. Shafieian, Abdellah & Khiadani, Mehdi & Nosrati, Ataollah, 2018. "A review of latest developments, progress, and applications of heat pipe solar collectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 273-304.
    13. Tabish Alam & Nagesh Babu Balam & Kishor Sitaram Kulkarni & Md Irfanul Haque Siddiqui & Nishant Raj Kapoor & Chandan Swaroop Meena & Ashok Kumar & Raffaello Cozzolino, 2021. "Performance Augmentation of the Flat Plate Solar Thermal Collector: A Review," Energies, MDPI, vol. 14(19), pages 1-23, September.
    14. Su, Yan & Sui, Pengxiang & Davidson, Jane H., 2022. "A sub-continuous lattice Boltzmann simulation for nanofluid cooling of concentrated photovoltaic thermal receivers," Renewable Energy, Elsevier, vol. 184(C), pages 712-726.
    15. Piotr Kolasiński, 2019. "Application of the Multi-Vane Expanders in ORC Systems—A Review on the Experimental and Modeling Research Activities," Energies, MDPI, vol. 12(15), pages 1-26, August.
    16. Dimri, Neha & Tiwari, Arvind & Tiwari, G.N., 2019. "Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors," Renewable Energy, Elsevier, vol. 134(C), pages 343-356.
    17. Kim, Hyeongmin & Ham, Jeonggyun & Park, Chasik & Cho, Honghyun, 2016. "Theoretical investigation of the efficiency of a U-tube solar collector using various nanofluids," Energy, Elsevier, vol. 94(C), pages 497-507.
    18. Sainz-Mañas, Miguel & Bataille, Françoise & Caliot, Cyril & Vossier, Alexis & Flamant, Gilles, 2022. "Direct absorption nanofluid-based solar collectors for low and medium temperatures. A review," Energy, Elsevier, vol. 260(C).
    19. Unterberger, Viktor & Lichtenegger, Klaus & Kaisermayer, Valentin & Gölles, Markus & Horn, Martin, 2021. "An adaptive short-term forecasting method for the energy yield of flat-plate solar collector systems," Applied Energy, Elsevier, vol. 293(C).
    20. Gao, Datong & Zhong, Shuai & Ren, Xiao & Kwan, Trevor Hocksun & Pei, Gang, 2022. "The energetic, exergetic, and mechanical comparison of two structurally optimized non-concentrating solar collectors for intermediate temperature applications," Renewable Energy, Elsevier, vol. 184(C), pages 881-898.

    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:oup:ijlctc:v:16:y:2021:i:1:p:156-164.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.