IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v286y2024ics0360544223029845.html
   My bibliography  Save this article

Hybrid modeling for the multi-criteria decision making of energy systems: An application for geothermal district heating system

Author

Listed:
  • Arslan, Asli Ergenekon
  • Arslan, Oguz
  • Genc, Mustafa Serdar

Abstract

The efficiency analysis technique with output satisficing (EATWOS) is a successful tool for determining the most efficient design for energy systems. Since EATWOS is rationally based on the maximal output throughout the minimal inputs, the weights of input and output values considerably affect the analysis results. Therefore, the impact ratio of each input and output term should be sensitively determined. In this study, the artificial neural network (ANN) modeling was used to determine the weights of the input values due to the quantitative effects of these values, whereas the analytical hierarchic process (AHP) was used for the output values due to qualitative effects. A new hybrid method was formed, embedding the ANN and AHP results into EATWOS. The new hybrid model was then applied to a sample geothermal district heating system for optimization. In this aim, 148 designs were formed throughout the different inlet parameters and evaluated by exergoeconomic and exergoenvironmental analysis to conduct the outputs. For the optimum case, the exergy efficiency was calculated as 20.25 %, whereas the SI was determined as 1.25, with the highest score. 1/r and 1/rb were determined as 0.002337 and 0.001677, respectively. The NPV value was determined as 4.44 million $.

Suggested Citation

  • Arslan, Asli Ergenekon & Arslan, Oguz & Genc, Mustafa Serdar, 2024. "Hybrid modeling for the multi-criteria decision making of energy systems: An application for geothermal district heating system," Energy, Elsevier, vol. 286(C).
    • Handle: RePEc:eee:energy:v:286:y:2024:i:c:s0360544223029845
    DOI: 10.1016/j.energy.2023.129590
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223029845
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129590?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    2. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Arslan, Oguz, 2011. "Power generation from medium temperature geothermal resources: ANN-based optimization of Kalina cycle system-34," Energy, Elsevier, vol. 36(5), pages 2528-2534.
    4. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach," Renewable Energy, Elsevier, vol. 171(C), pages 58-74.
    5. Oner, Oytun & Khalilpour, Kaveh, 2022. "Evaluation of green hydrogen carriers: A multi-criteria decision analysis tool," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Meyer, Lutz & Tsatsaronis, George & Buchgeister, Jens & Schebek, Liselotte, 2009. "Exergoenvironmental analysis for evaluation of the environmental impact of energy conversion systems," Energy, Elsevier, vol. 34(1), pages 75-89.
    7. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    8. Li, Xian & Chen, Jialing & Sun, Xiangyu & Zhao, Yao & Chong, Clive & Dai, Yanjun & Wang, Chi-Hwa, 2021. "Multi-criteria decision making of biomass gasification-based cogeneration systems with heat storage and solid dehumidification of desiccant coated heat exchangers," Energy, Elsevier, vol. 233(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Shuguang & Leng, Yuchi & Chaturvedi, Rishabh & Dutta, Ashit Kumar & Abdullaeva, Barno Sayfutdinovna & Fouad, Yasser, 2024. "Sustainable freshwater/energy supply through geothermal-centered layout tailored with humidification-dehumidification desalination unit; Optimized by regression machine learning techniques," Energy, Elsevier, vol. 303(C).

    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. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    2. Vaziri Rad, Mohammad Amin & Forootan Fard, Habib & Khazanedari, Kian & Toopshekan, Ashkan & Ourang, Shiva & Khanali, Majid & Gorjian, Shiva & Fereidooni, Leila & Kasaeian, Alibakhsh, 2024. "A global framework for maximizing sustainable development indexes in agri-photovoltaic-based renewable systems: Integrating DEMATEL, ANP, and MCDM methods," Applied Energy, Elsevier, vol. 360(C).
    3. Emrah Kocak & Hayriye Hilal Baglitas, 2022. "The path to sustainable municipal solid waste management: Do human development, energy efficiency, and income inequality matter?," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1947-1962, December.
    4. Viole, Isabelle & Valenzuela-Venegas, Guillermo & Sartori, Sabrina & Zeyringer, Marianne, 2024. "Integrated life cycle assessment in off-grid energy system design—Uncovering low hanging fruit for climate mitigation," Applied Energy, Elsevier, vol. 367(C).
    5. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    6. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
    7. Huster, Wolfgang R. & Schweidtmann, Artur M. & Mitsos, Alexander, 2020. "Globally optimal working fluid mixture composition for geothermal power cycles," Energy, Elsevier, vol. 212(C).
    8. Zhao, Yajing & Wang, Jiangfeng, 2016. "Exergoeconomic analysis and optimization of a flash-binary geothermal power system," Applied Energy, Elsevier, vol. 179(C), pages 159-170.
    9. Guido Busca, 2024. "Critical Aspects of Energetic Transition Technologies and the Roles of Materials Chemistry and Engineering," Energies, MDPI, vol. 17(14), pages 1-32, July.
    10. K. Arunprasath & S. Bathrinath & R. K. A. Bhalaji & Koppiahraj Karuppiah & Anish Nair, 2023. "An integrated approach to modelling of barriers in implementation of cellular manufacturing systems in production industries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1370-1378, August.
    11. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    12. Gürbüz, Emine Yağız & Güler, Onur Vahip & Keçebaş, Ali, 2022. "Environmental impact assessment of a real geothermal driven power plant with two-stage ORC using enhanced exergo-environmental analysis," Renewable Energy, Elsevier, vol. 185(C), pages 1110-1123.
    13. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    14. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2011. "Exergy, exergoeconomic and environmental analyses and evolutionary algorithm based multi-objective optimization of combined cycle power plants," Energy, Elsevier, vol. 36(10), pages 5886-5898.
    15. Balli, Ozgur & Kale, Utku & Rohács, Dániel & Hikmet Karakoc, T., 2022. "Environmental damage cost and exergoenvironmental evaluations of piston prop aviation engines for the landing and take-off flight phases," Energy, Elsevier, vol. 261(PB).
    16. Wang, Jiangfeng & Yan, Zhequan & Wang, Man & Dai, Yiping, 2013. "Thermodynamic analysis and optimization of an ammonia-water power system with LNG (liquefied natural gas) as its heat sink," Energy, Elsevier, vol. 50(C), pages 513-522.
    17. Magdalena Tutak & Jarosław Brodny & Peter Bindzár, 2021. "Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030," Energies, MDPI, vol. 14(6), pages 1-32, March.
    18. Zhiming Lu & Youting Li, 2023. "A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    19. Zohreh Hassanzadeh Doubendar & Arshiya Noorpoor & Fateme Ahmadi Boyaghchi, 2024. "Performance assessment and multi-objective optimization of a humidification-dehumidification desalination unit and dye-sensitized solar cell integrated with wind tower in arid and semiarid regions of ," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 24247-24285, September.
    20. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).

    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:eee:energy:v:286:y:2024:i:c:s0360544223029845. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.