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Sequential search technique for obtaining the energy-efficient residential building in Gorontalo

Auteur(s):


Médium: article de revue
Langue(s): anglais
Publié dans: IOP Conference Series: Earth and Environmental Science, , n. 1, v. 1003
Page(s): 012035
DOI: 10.1088/1755-1315/1003/1/012035
Abstrait:

A sequential search technique is being used to optimize the design of the residential building in Gorontalo to minimize their life-cycle energy cost while improving their energy efficiency. Certain design features are included like air-conditioned, house orientation, window material, wall exterior finish, roof insulation, lighting fixtures, cooling system efficiencies, and photovoltaic while also considering the neighbor distance. The outcomes of the sequential search methodology are contrasted with those achieved through a more time-consuming approach to brute-force optimization. Alternatively, for selected locations in Gorontalo, the best design features for residential building is determined. By using specific measures resulted from the optimization technique can cost-effectively reduce the annual energy saving by 59%, while adding the photovoltaic as a measure, we can increase the annual energy use saving percentage up to 117% compared to the reference design in the residential building in Gorontalo.

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1088/1755-1315/1003/1/012035.
  • Informations
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  • Reference-ID
    10780690
  • Publié(e) le:
    12.05.2024
  • Modifié(e) le:
    12.05.2024
 
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