Rendy Perdana Khidmat1,2, Hiroatsu Fukuda3, Beta Paramita This email address is being protected from spambots. You need JavaScript enabled to view it.4, and Kustiani5

1Graduate School of Environmental Engineering, The University of Kitakyushu, Japan
2Department of Infrastructure and Regional Technology, Institut Teknologi Sumatera, Indonesia
3Department of Architecture, Faculty of Environmental Engineering, The University of Kitakyushu, Japan
4Department of Architecture, Faculty of Technology and Vocational Education, Universitas Pendidikan Indonesia, Indonesia
5Department of Architecture, Faculty of Engineering, Bandar Lampung University, Lampung, Indonesia


 

Received: December 14, 2020
Accepted: January 25, 2021
Publication Date: July 18, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202202_25(1).0010  


ABSTRACT


Along with the rise of awareness in implementing the environmentally conscious urban design, the classical process in approaching urban environmental analysis should be shifted to the performance-based considerations. In architecture and urban design, the tools developed recently holds promise to assist the decision-making process in the early phase of designing. Thus, the further performance of the intended architecture project, particularly related to energy consumption and its environmental impact, can be nearly accurately predicted. Although many studies contain the computer design process for analyzing urban energy performance, the Multi-Objective Optimization (MOO) process in the sub-tropical climate of Japan has not been widely used. This research investigates hypothetically the surface and site radiation in the early phase of designing a two-level wooden house in Orio District, Kitakyushu, Japan, through parametric and generative algorithm. The research designed to map the best possible design solution of free-form loft-twisted structure through iterating design variables related to design elements such as building orientation, base radius, twisting and scaling factor and the angle of the roof slope. The optimization targeting the minimum quantity of solar radiation both for the site and the building surface affected by the geometry. The simulation uses an EPW file of Shimonoseki as the input weather file and being scheduled for fitting the period in the extreme hot week during the summertime. The findings are successful to produce a design with better performance compared to the benchmark model even though with insignificant improvement.


Keywords: Multi-Objective Optimization, Parametric design, Urban microclimate


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