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The prototypes of energy-efficient residential Building with metal roof in Gorontalo, Indonesia
Jahja M.a, Gunawan A.a, Syamsul A.N.F.a, Arifin Y.I.a, Koerniawan M.D.b
a Jurusan Fisika, Universitas Negeri Gorontalo, Indonesia
b Jurusan Teknik Arsitektur, Institut Teknologi Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IOP Publishing Ltd. All rights reserved.To optimize Gorontalo’s residential building design to a sequential search technique is being used 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 displacement. 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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Annual energy savings,Life cycle energies,Optimization techniques,Reference designs,Residential building,Sequential search,System efficiency,Window materials[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]We gratefully acknowledge the funding from USAID through the SHERA program – Centre for Development of Sustainable Region (CDSR). In year 2017-2021 CDSR is led by Centre for Energy Studies – UGM.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/520/1/012025[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]