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

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Mohamad Jahja, And Muhammad Nur Ftirah, Abdu Gunawan

2022 IOP Conference Series: Earth and Environmental Science Vol. 1003 Issue 1 Conference paper Cited by 1 SDG 7SDG 17 Quartile

Abstract

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. © Published under licence by IOP Publishing Ltd.

Affiliations

Jurusan Fisika Universitas Negeri Gorontalo, Jalan Jend. Sudirmna no 6 Kota Gorotnalo, 96128, Indonesia; Jurusn Teknik Arsitektur, Universitas Negeri Gorontalo, Jalan Jend. Sudirmna no 6 Kota Gorotnalo, 96128, Indonesia

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