IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v119y2017icp1230-1246.html
   My bibliography  Save this article

Thermo-economic evaluation of water-injected air bottoming cycles hybridization using heliostat field collector: Comparative analyses

Author

Listed:
  • Saghafifar, Mohammad
  • Gadalla, Mohamed

Abstract

A possible solution to intermittency and storage difficulties associated with solar energy utilization is power plant hybridization. Additionally, air bottoming cycle is an alternative plant configuration which is more economical for small scale power generation than conventional combined cycle. To further improve the air bottoming cycle thermo-economic performance, water injection in the bottoming cycle air is proposed. In this paper, a detailed thermo-economic optimization is conducted for a hybrid air bottoming cycle power plant with water injection in the bottoming cycle air. Analyses are accomplished by utilizing three thermo-economic assessment approaches comprising levelized cost of electricity, payback period and life cycle savings. The acquired results indicate the advantages of water injection to improve the bottoming cycle heat recovery capability and plant's levelized cost of electricity. Noting that the plant's levelized cost of electricity is improved by 0.7 US$/MWh from 77.8 US$/MWh to 77.1 US$/MWh as water injection in the bottoming cycle is implemented. Therefore, 2.940 MUS$ can be saved during 25 years of plant operation.

Suggested Citation

  • Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic evaluation of water-injected air bottoming cycles hybridization using heliostat field collector: Comparative analyses," Energy, Elsevier, vol. 119(C), pages 1230-1246.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:1230-1246
    DOI: 10.1016/j.energy.2016.11.067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216316966
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.11.067?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. Collado, Francisco J. & Guallar, Jesús, 2013. "A review of optimized design layouts for solar power tower plants with campo code," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 142-154.
    2. Saghafifar, Mohammad & Gadalla, Mohamed, 2015. "Innovative inlet air cooling technology for gas turbine power plants using integrated solid desiccant and Maisotsenko cooler," Energy, Elsevier, vol. 87(C), pages 663-677.
    3. Collado, Francisco J., 2009. "Preliminary design of surrounding heliostat fields," Renewable Energy, Elsevier, vol. 34(5), pages 1359-1363.
    4. Saghafifar, Mohammad & Gadalla, Mohamed, 2015. "Analysis of Maisotsenko open gas turbine power cycle with a detailed air saturator model," Applied Energy, Elsevier, vol. 149(C), pages 338-353.
    5. Spelling, James & Favrat, Daniel & Martin, Andrew & Augsburger, Germain, 2012. "Thermoeconomic optimization of a combined-cycle solar tower power plant," Energy, Elsevier, vol. 41(1), pages 113-120.
    6. 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.
    7. Ghazikhani, M. & Passandideh-Fard, M. & Mousavi, M., 2011. "Two new high-performance cycles for gas turbine with air bottoming," Energy, Elsevier, vol. 36(1), pages 294-304.
    8. Brodrick, Philip G. & Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2015. "Optimization of carbon-capture-enabled coal-gas-solar power generation," Energy, Elsevier, vol. 79(C), pages 149-162.
    9. Collado, Francisco J. & Guallar, Jesús, 2012. "Campo: Generation of regular heliostat fields," Renewable Energy, Elsevier, vol. 46(C), pages 49-59.
    10. Kaushik, S.C. & Reddy, V. Siva & Tyagi, S.K., 2011. "Energy and exergy analyses of thermal power plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1857-1872, May.
    11. Beretta, Gian Paolo & Iora, Paolo & Ghoniem, Ahmed F., 2013. "Allocating electricity production from a hybrid fossil-renewable power plant among its multi primary resources," Energy, Elsevier, vol. 60(C), pages 344-360.
    12. Zhang, Xiaochun & Myhrvold, Nathan P. & Hausfather, Zeke & Caldeira, Ken, 2016. "Climate benefits of natural gas as a bridge fuel and potential delay of near-zero energy systems," Applied Energy, Elsevier, vol. 167(C), pages 317-322.
    13. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    14. Saghafifar, Mohammad & Gadalla, Mohamed, 2016. "Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis," Energy, Elsevier, vol. 112(C), pages 698-714.
    15. Poullikkas, Andreas, 2005. "An overview of current and future sustainable gas turbine technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 409-443, October.
    16. Besarati, Saeb M. & Yogi Goswami, D., 2014. "A computationally efficient method for the design of the heliostat field for solar power tower plant," Renewable Energy, Elsevier, vol. 69(C), pages 226-232.
    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. Saghafifar, Mohammad & Gadalla, Mohamed, 2016. "Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis," Energy, Elsevier, vol. 112(C), pages 698-714.
    2. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    3. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    4. Wang, Jianxing & Duan, Liqiang & Yang, Yongping, 2018. "An improvement crossover operation method in genetic algorithm and spatial optimization of heliostat field," Energy, Elsevier, vol. 155(C), pages 15-28.
    5. Ortega, Guillermo & Rovira, Antonio, 2020. "A fast and accurate methodology for the calculation of the shading and blocking efficiency in central receiver systems," Renewable Energy, Elsevier, vol. 154(C), pages 58-70.
    6. Saghafifar, Mohammad & Gadalla, Mohamed & Mohammadi, Kasra, 2019. "Thermo-economic analysis and optimization of heliostat fields using AINEH code: Analysis of implementation of non-equal heliostats (AINEH)," Renewable Energy, Elsevier, vol. 135(C), pages 920-935.
    7. Ortega, Guillermo & Rovira, Antonio, 2020. "A new method for the selection of candidates for shading and blocking in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 961-973.
    8. Chao Li & Rongrong Zhai & Yongping Yang, 2017. "Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm," Energies, MDPI, vol. 10(11), pages 1-15, November.
    9. Mahmood, Muhammad H. & Sultan, Muhammad & Miyazaki, Takahiko & Koyama, Shigeru & Maisotsenko, Valeriy S., 2016. "Overview of the Maisotsenko cycle – A way towards dew point evaporative cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 537-555.
    10. Li, Chao & Zhai, Rongrong & Yang, Yongping & Patchigolla, Kumar & Oakey, John E. & Turner, Peter, 2019. "Annual performance analysis and optimization of a solar tower aided coal-fired power plant," Applied Energy, Elsevier, vol. 237(C), pages 440-456.
    11. Merchán, R.P. & Santos, M.J. & Heras, I. & Gonzalez-Ayala, J. & Medina, A. & Hernández, A. Calvo, 2020. "On-design pre-optimization and off-design analysis of hybrid Brayton thermosolar tower power plants for different fluids and plant configurations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    12. Piroozmand, Pasha & Boroushaki, Mehrdad, 2016. "A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions," Energy, Elsevier, vol. 106(C), pages 240-252.
    13. Pierobon, Leonardo & Haglind, Fredrik, 2014. "Design and optimization of air bottoming cycles for waste heat recovery in off-shore platforms," Applied Energy, Elsevier, vol. 118(C), pages 156-165.
    14. Zaharaddeen Ali Hussaini & Peter King & Chris Sansom, 2020. "Numerical Simulation and Design of Multi-Tower Concentrated Solar Power Fields," Sustainability, MDPI, vol. 12(6), pages 1-22, March.
    15. Wang, Shuang & Asselineau, Charles-Alexis & Fontalvo, Armando & Wang, Ye & Logie, William & Pye, John & Coventry, Joe, 2023. "Co-optimisation of the heliostat field and receiver for concentrated solar power plants," Applied Energy, Elsevier, vol. 348(C).
    16. Collado, Francisco J. & Guallar, Jesus, 2019. "Quick design of regular heliostat fields for commercial solar tower power plants," Energy, Elsevier, vol. 178(C), pages 115-125.
    17. García, Jesús & Soo Too, Yen Chean & Padilla, Ricardo Vasquez & Beath, Andrew & Kim, Jin-Soo & Sanjuan, Marco E., 2018. "Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances," Renewable Energy, Elsevier, vol. 121(C), pages 355-367.
    18. Nicolás C. Cruz & José D. Álvarez & Juana L. Redondo & Jesús Fernández-Reche & Manuel Berenguel & Rafael Monterreal & Pilar M. Ortigosa, 2017. "A New Methodology for Building-Up a Robust Model for Heliostat Field Flux Characterization," Energies, MDPI, vol. 10(5), pages 1-17, May.
    19. Cruz, N.C. & Redondo, J.L. & Berenguel, M. & Álvarez, J.D. & Ortigosa, P.M., 2017. "Review of software for optical analyzing and optimizing heliostat fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1001-1018.
    20. Cruz, N.C. & Salhi, S. & Redondo, J.L. & Álvarez, J.D. & Berenguel, M. & Ortigosa, P.M., 2018. "Hector, a new methodology for continuous and pattern-free heliostat field optimization," Applied Energy, Elsevier, vol. 225(C), pages 1123-1131.

    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:119:y:2017:i:c:p:1230-1246. 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.