IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v165y2021ip1p533-552.html
   My bibliography  Save this article

Optimal exergetic, exergoeconomic and exergoenvironmental design of polygeneration system based on gas Turbine-Absorption Chiller-Solar parabolic trough collector units integrated with multi-effect desalination-thermal vapor compressor- reverse osmosis desalination systems

Author

Listed:
  • Vazini Modabber, Hossein
  • Khoshgoftar Manesh, Mohammad Hasan

Abstract

In the recent years, considering aridity problem of the country and high potential of desalinating the seawater in the southern and northern coasts, focusing on the poly-generation cycles of power and distillate with the lowest possible cost and emission of the pollutants has been increased. In this research, the study of the trigeneration system of power, heat and desal water located in the Qeshm island has been conducted. The potentials of the existing unit have been evaluated and the different scenarios have been proposed to improve the performance of the system. Setting the inlet air cooling system up to the gas cycle is one of the schemes proposed to diminish the undesirable effects of the ambient conditions. Also integrating the existing MED desalination unit with RO system and using solar thermal collector field in order to improve the performance of the system and to propose the optimal scheme for the operating unit has been investigated. The conventional and the advanced exergy, exergo-economic and exergo-environmental analyzes based on life cycle assessment have been used to evaluate the existing and the proposed systems. The multi objective optimization process has been performed to maximize the exergetic efficiency and to minimize the cost and environmental impact of the product of the system. Considering the complexity of the problem, using the genetic programming to generate the objective functions has been conducted. In order to apply the optimization process on the existing and the proposed system, multi objective genetic algorithm (MOGA) and multi objective water cycle algorithm (MOWCA) have been used. Multi objective water cycle algorithm has been performed for the first time at the energy problems in this research. The results shows that using the inlet air cooling system has decreased the fuel consumption, total costs and environmental impacts of the system by 1019 tons/year, 914 k$/year and 197 kpts/year, respectively. Also integrating the existing unit with the solar thermal collector field to achieve an increase of 4.77% in efficiency of the system has been investigated. Five different types of STC at two configurations have been evaluated and the thermodynamic, economic and environmental optimal solution has led to calculate 9081 m2 area of required collectors. Using RO desalination unit in the downstream of MED has prevented the energy leakage and increased the distillate production rate by 255.12 tons/h. The optimization processes using two methods shows the capability of the MOWCA and lead to an increase of 12.66% in exergetic efficiency and decreased the total cost and environmental impact rate of the system by 47.4$/h and 49.2 pts/h, respectively.

Suggested Citation

  • Vazini Modabber, Hossein & Khoshgoftar Manesh, Mohammad Hasan, 2021. "Optimal exergetic, exergoeconomic and exergoenvironmental design of polygeneration system based on gas Turbine-Absorption Chiller-Solar parabolic trough collector units integrated with multi-effect de," Renewable Energy, Elsevier, vol. 165(P1), pages 533-552.
    • Handle: RePEc:eee:renene:v:165:y:2021:i:p1:p:533-552
    DOI: 10.1016/j.renene.2020.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120317262
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.11.001?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. Raluy, Gemma & Serra, Luis & Uche, Javier, 2006. "Life cycle assessment of MSF, MED and RO desalination technologies," Energy, Elsevier, vol. 31(13), pages 2361-2372.
    2. Valero, Antonio & Lozano, Miguel A. & Serra, Luis & Tsatsaronis, George & Pisa, Javier & Frangopoulos, Christos & von Spakovsky, Michael R., 1994. "CGAM problem: Definition and conventional solution," Energy, Elsevier, vol. 19(3), pages 279-286.
    3. Sharqawy, Mostafa H. & Zubair, Syed M. & Lienhard, John H., 2011. "Second law analysis of reverse osmosis desalination plants: An alternative design using pressure retarded osmosis," Energy, Elsevier, vol. 36(11), pages 6617-6626.
    4. Saldivia, David & Rosales, Carlos & Barraza, Rodrigo & Cornejo, Lorena, 2019. "Computational analysis for a multi-effect distillation (MED) plant driven by solar energy in Chile," Renewable Energy, Elsevier, vol. 132(C), pages 206-220.
    5. Kelly, S. & Tsatsaronis, G. & Morosuk, T., 2009. "Advanced exergetic analysis: Approaches for splitting the exergy destruction into endogenous and exogenous parts," Energy, Elsevier, vol. 34(3), pages 384-391.
    6. Soltani, S. & Yari, M. & Mahmoudi, S.M.S. & Morosuk, T. & Rosen, M.A., 2013. "Advanced exergy analysis applied to an externally-fired combined-cycle power plant integrated with a biomass gasification unit," Energy, Elsevier, vol. 59(C), pages 775-780.
    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. Alkasmoul, Fahad & Asaker, Mohammed & Widuch, Aleksander & Malicki, Marcin & Zwierzchowski, Ryszard & Wołowicz, Marcin, 2023. "Multigeneration source based on novel triple-component chiller configuration co-supplied with renewable and fossil energy operated in Arabic Peninsula conditions," Energy, Elsevier, vol. 263(PC).
    2. Amaya Martínez-Gracia & Sergio Usón & Mª Teresa Pintanel & Javier Uche & Ángel A. Bayod-Rújula & Alejandro Del Amo, 2021. "Exergy Assessment and Thermo-Economic Analysis of Hybrid Solar Systems with Seasonal Storage and Heat Pump Coupling in the Social Housing Sector in Zaragoza," Energies, MDPI, vol. 14(5), pages 1-32, February.
    3. Chen, Lintao & Xiao, Kai & Hu, Fan & Li, Yajun, 2022. "Performance evaluation and optimization design of integrated energy system based on thermodynamic, exergoeconomic, and exergoenvironmental analyses," Applied Energy, Elsevier, vol. 326(C).
    4. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Water-renewable energy Nexus: Optimization of geothermal energy-powered seawater desalination systems," Renewable Energy, Elsevier, vol. 196(C), pages 234-246.
    5. Liu, Xianglong & Hu, Guang & Zeng, Zhi, 2022. "Potential of biomass processing using digester in arrangement with a Brayton cycle, a Kalina cycle, and a multi-effect desalination; thermodynamic/environmental/financial study and MOPSO-based optimiz," Energy, Elsevier, vol. 261(PA).
    6. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).

    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. Blanco-Marigorta, Ana M. & Masi, Marco & Manfrida, Giampaolo, 2014. "Exergo-environmental analysis of a reverse osmosis desalination plant in Gran Canaria," Energy, Elsevier, vol. 76(C), pages 223-232.
    2. Khoshgoftar Manesh, Mohammad Hasan & Hajizadeh Aghdam, Meysam & Vazini Modabber, Hossein & Ghasemi, Amir & Khajeh Talkhoncheh, Mahdi, 2022. "Techno-economic, environmental and emergy analysis and optimization of integrated solar parabolic trough collector and multi effect distillation systems with a combined cycle power plant," Energy, Elsevier, vol. 240(C).
    3. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    4. Yılmaz, Kadir & Kayfeci, Muhammet & Keçebaş, Ali, 2019. "Thermodynamic evaluation of a waste gas-fired steam power plant in an iron and steel facility using enhanced exergy analysis," Energy, Elsevier, vol. 169(C), pages 684-695.
    5. Fallah, M. & Mohammadi, Z. & Mahmoudi, S.M. Seyed, 2022. "Advanced exergy analysis of the combined S–CO2/ORC system," Energy, Elsevier, vol. 241(C).
    6. Boyaghchi, Fateme Ahmadi & Molaie, Hanieh, 2015. "Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm," Energy, Elsevier, vol. 93(P2), pages 2267-2279.
    7. Şöhret, Yasin & Açıkkalp, Emin & Hepbasli, Arif & Karakoc, T. Hikmet, 2015. "Advanced exergy analysis of an aircraft gas turbine engine: Splitting exergy destructions into parts," Energy, Elsevier, vol. 90(P2), pages 1219-1228.
    8. Keçebaş, Ali & Gökgedik, Harun, 2015. "Thermodynamic evaluation of a geothermal power plant for advanced exergy analysis," Energy, Elsevier, vol. 88(C), pages 746-755.
    9. Khoshgoftar Manesh, M.H. & Navid, P. & Blanco Marigorta, A.M. & Amidpour, M. & Hamedi, M.H., 2013. "New procedure for optimal design and evaluation of cogeneration system based on advanced exergoeconomic and exergoenvironmental analyses," Energy, Elsevier, vol. 59(C), pages 314-333.
    10. Wu, Junnian & Wang, Na, 2020. "Exploring avoidable carbon emissions by reducing exergy destruction based on advanced exergy analysis: A case study," Energy, Elsevier, vol. 206(C).
    11. Ebrahimi, Mehdi & Carriveau, Rupp & Ting, David S.-K. & McGillis, Andrew, 2019. "Conventional and advanced exergy analysis of a grid connected underwater compressed air energy storage facility," Applied Energy, Elsevier, vol. 242(C), pages 1198-1208.
    12. Kostowski, Wojciech J. & Usón, Sergio & Stanek, Wojciech & Bargiel, Paweł, 2014. "Thermoecological cost of electricity production in the natural gas pressure reduction process," Energy, Elsevier, vol. 76(C), pages 10-18.
    13. Caglayan, Hasan & Caliskan, Hakan, 2021. "Advanced exergy analyses and optimization of a cogeneration system for ceramic industry by considering endogenous, exogenous, avoidable and unavoidable exergies under different environmental condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    14. Kanbur, Baris Burak & Xiang, Liming & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2017. "Cold utilization systems of LNG: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1171-1188.
    15. Fallah, M. & Mahmoudi, S.M.S. & Yari, M., 2017. "Advanced exergy analysis for an anode gas recirculation solid oxide fuel cell," Energy, Elsevier, vol. 141(C), pages 1097-1112.
    16. dos Santos, Rodrigo G. & de Faria, Pedro R. & Santos, José J.C.S. & da Silva, Julio A.M. & Flórez-Orrego, Daniel, 2016. "Thermoeconomic modeling for CO2 allocation in steam and gas turbine cogeneration systems," Energy, Elsevier, vol. 117(P2), pages 590-603.
    17. Altaee, Ali & Zhou, John & Alhathal Alanezi, Adnan & Zaragoza, Guillermo, 2017. "Pressure retarded osmosis process for power generation: Feasibility, energy balance and controlling parameters," Applied Energy, Elsevier, vol. 206(C), pages 303-311.
    18. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomics of power utilities: Air-cooled gas turbine cycle and combined cycle configurations," Energy, Elsevier, vol. 139(C), pages 42-51.
    19. Liu, X.G. & He, C. & He, C.C. & Chen, J.J. & Zhang, B.J. & Chen, Q.L., 2017. "A new retrofit approach to the absorption-stabilization process for improving energy efficiency in refineries," Energy, Elsevier, vol. 118(C), pages 1131-1145.
    20. Ahmadi, Pouria & Dincer, Ibrahim, 2010. "Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)," Energy, Elsevier, vol. 35(12), pages 5161-5172.

    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:renene:v:165:y:2021:i:p1:p:533-552. 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/renewable-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.