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Exergoeconomic analysis of a district heating system for geothermal energy using specific exergy cost method

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  • Alkan, Mehmet Ali
  • Keçebaş, Ali
  • Yamankaradeniz, Nurettin

Abstract

This study presents the exergoeconomic analysis and evaluation in order to provide cost based information and suggests possible locations/components in a GDHS (geothermal district heating system) for improving the cost effectiveness. The analysis is based on the SPECO (specific exergy costing) method, and used to calculate exergy-related parameters and display cost flows for all streams and components. As a real case study, the Afyon GDHS in Turkey is considered based on actual operational data. The obtained results show that the unit exergy cost of heat produced by the Afyon GDHS is calculated as average 5624 $/h. The HEX (heat exchanger)-III among all components should be improved quickly due to the high total operating cost rate and relative cost difference. The HEX-I and PM (pump)-V have the highest exergoeconomic factors among all other system components due to the high owning and operating costs of these components. The heat production costs per exergy unit for all the HEXs decrease due to the high exergy destruction cost rate of the system, while the well head temperature and ambient temperature increase. The SPECO method may be used to improve the cost effectiveness according to exergy rates in GDHSs as a thermal system.

Suggested Citation

  • Alkan, Mehmet Ali & Keçebaş, Ali & Yamankaradeniz, Nurettin, 2013. "Exergoeconomic analysis of a district heating system for geothermal energy using specific exergy cost method," Energy, Elsevier, vol. 60(C), pages 426-434.
  • Handle: RePEc:eee:energy:v:60:y:2013:i:c:p:426-434
    DOI: 10.1016/j.energy.2013.08.017
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    References listed on IDEAS

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    Cited by:

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    9. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    10. Wang, Zefeng & Han, Wei & Zhang, Na & Liu, Meng & Jin, Hongguang, 2017. "Exergy cost allocation method based on energy level (ECAEL) for a CCHP system," Energy, Elsevier, vol. 134(C), pages 240-247.
    11. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    12. Baldvinsson, Ivar & Nakata, Toshihiko, 2014. "A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method," Energy, Elsevier, vol. 74(C), pages 537-554.
    13. Gong, Mingju & Zhao, Yin & Sun, Jiawang & Han, Cuitian & Sun, Guannan & Yan, Bo, 2022. "Load forecasting of district heating system based on Informer," Energy, Elsevier, vol. 253(C).
    14. Francesco Calise & Francesco L. Cappiello & Maria Vicidomini & Jian Song & Antonio M. Pantaleo & Suzan Abdelhady & Ahmed Shaban & Christos N. Markides, 2021. "Energy and Economic Assessment of Energy Efficiency Options for Energy Districts: Case Studies in Italy and Egypt," Energies, MDPI, vol. 14(4), pages 1-24, February.
    15. Kilkis, Birol, 2021. "An exergy-based minimum carbon footprint model for optimum equipment oversizing and temperature peaking in low-temperature district heating systems," Energy, Elsevier, vol. 236(C).
    16. Mohammadkhani, Farzad & Ranjbar, Faramarz & Yari, Mortaza, 2015. "A comparative study on the ammonia–water based bottoming power cycles: The exergoeconomic viewpoint," Energy, Elsevier, vol. 87(C), pages 425-434.
    17. Baldvinsson, Ivar & Nakata, Toshihiko, 2016. "A feasibility and performance assessment of a low temperature district heating system – A North Japanese case study," Energy, Elsevier, vol. 95(C), pages 155-174.
    18. Ewa Zender–Świercz, 2021. "A Review of Heat Recovery in Ventilation," Energies, MDPI, vol. 14(6), pages 1-23, March.
    19. Aghaei, Ali Tavakkol & Saray, Rahim Khoshbakhti, 2021. "Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry," Energy, Elsevier, vol. 229(C).
    20. Zhao, Yin & Gong, Mingju & Sun, Jiawang & Han, Cuitian & Jing, Lei & Li, Bo & Zhao, Zhixuan, 2023. "A new hybrid optimization prediction strategy based on SH-Informer for district heating system," Energy, Elsevier, vol. 282(C).
    21. Janghorban Esfahani, Iman & Yoo, Changkyoo, 2014. "A highly efficient combined multi-effect evaporation-absorption heat pump and vapor-compression refrigeration part 2: Thermoeconomic and flexibility analysis," Energy, Elsevier, vol. 75(C), pages 327-337.
    22. Keçebaş, Ali, 2016. "Exergoenvironmental analysis for a geothermal district heating system: An application," Energy, Elsevier, vol. 94(C), pages 391-400.

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