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A design optimization tool of earth-to-air heat exchanger using a genetic algorithm

Author

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  • Kumar, Rakesh
  • Sinha, A.R.
  • Singh, B.K.
  • Modhukalya, U.

Abstract

Advancement in genetic algorithm (GA) optimization tools for design applications, coupled with techniques of soft computing, have led to new possibilities in the way computers interact with the optimization process. In this paper, the concept of goal-oriented GA has been used to design a tool for evaluating and optimizing various aspects of earth-to-air heat exchanger behavior. A new optimization method based on GA is applied as a generative and search procedure to optimize the design of earth-to-air heat exchanger. The GA is used to generate possible design solutions, which are evaluated in terms of passive heating and cooling of building, using a detailed thermal analysis of non air-condition building environment The results from the simulations are subsequently used to further guide the GA search to find the high-energy solutions for optimized design parameters. The specific problem addressed in this study is the sizing of earth-to-air heat exchanger in a non air-conditioned residential building. The developed algorithm is suitable for the calculation of the outlet air temperature and therefore of the heating and cooling potential of the earth-to-air heat exchanger system. This methodology is applicable to a wide range of design optimization problems like choice of building such as green house, solar house, or heating and cooling of buildings by mechanical system.

Suggested Citation

  • Kumar, Rakesh & Sinha, A.R. & Singh, B.K. & Modhukalya, U., 2008. "A design optimization tool of earth-to-air heat exchanger using a genetic algorithm," Renewable Energy, Elsevier, vol. 33(10), pages 2282-2288.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:10:p:2282-2288
    DOI: 10.1016/j.renene.2008.01.006
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    References listed on IDEAS

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    1. Kumar, Rakesh & Kaushik, S.C. & Garg, S.N., 2006. "Heating and cooling potential of an earth-to-air heat exchanger using artificial neural network," Renewable Energy, Elsevier, vol. 31(8), pages 1139-1155.
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    Cited by:

    1. Akhtari, Mohammad Reza & Shayegh, Iman & Karimi, Nader, 2020. "Techno-economic assessment and optimization of a hybrid renewable earth - air heat exchanger coupled with electric boiler, hydrogen, wind and PV configurations," Renewable Energy, Elsevier, vol. 148(C), pages 839-851.
    2. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    3. Rachana Vidhi, 2018. "A Review of Underground Soil and Night Sky as Passive Heat Sink: Design Configurations and Models," Energies, MDPI, vol. 11(11), pages 1-24, October.
    4. Bisoniya, Trilok Singh & Kumar, Anil & Baredar, Prashant, 2013. "Experimental and analytical studies of earth–air heat exchanger (EAHE) systems in India: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 238-246.
    5. Singh, Ramkishore & Sawhney, R.L. & Lazarus, I.J. & Kishore, V.V.N., 2018. "Recent advancements in earth air tunnel heat exchanger (EATHE) system for indoor thermal comfort application: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2162-2185.
    6. Rodrigues, Michel Kepes & Vaz, Joaquim & Oliveira Rocha, Luiz Alberto & Domingues dos Santos, Elizaldo & Isoldi, Liércio André, 2022. "A full approach to Earth-Air Heat Exchanger employing computational modeling, performance analysis and geometric evaluation," Renewable Energy, Elsevier, vol. 191(C), pages 535-556.
    7. Sharma, Naveen & Varun, & Siddhartha,, 2012. "Stochastic techniques used for optimization in solar systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1399-1411.
    8. Aldona Skotnicka-Siepsiak, 2020. "Operation of a Tube GAHE in Northeastern Poland in Spring and Summer—A Comparison of Real-World Data with Mathematically Modeled Data," Energies, MDPI, vol. 13(7), pages 1-15, April.
    9. Chantrelle, Fanny Pernodet & Lahmidi, Hicham & Keilholz, Werner & Mankibi, Mohamed El & Michel, Pierre, 2011. "Development of a multicriteria tool for optimizing the renovation of buildings," Applied Energy, Elsevier, vol. 88(4), pages 1386-1394, April.
    10. Maoz & Saddam Ali & Noor Muhammad & Ahmad Amin & Mohammad Sohaib & Abdul Basit & Tanvir Ahmad, 2019. "Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method," Sustainability, MDPI, vol. 11(11), pages 1-19, June.

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