Development of a Building Information Modeling-Parametric Workflow Based Renovation Strategy for an Exemplary Apartment Building in Seoul, Korea

Fabrizio Maria Amoruso, Udo Dietrich and Thorsten Schuetze
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Fabrizio Maria Amoruso: Department of Architecture, HafenCity University, Ueberseeallee 16, 20457 Hamburg, Germany
Udo Dietrich: Department of Building Physics, HafenCity University, Ueberseeallee 16, 20457 Hamburg, Germany
Thorsten Schuetze: Department of Architecture, College of Engineering, SungKyunKwan University, 2066 Seobu-ru Jangan-gu, Suwon-si Gyeonggi-do 440-746, Korea

Sustainability, 2018, vol. 10, issue 12, 1-30

Abstract: Apartments in South Korea have high maintenance costs and an average lifetime of 25 years due to poor construction qualities. The common apartment redevelopment strategy is completely demolishing the neighborhoods and then replacing them with new buildings. However, this research discusses the framework for the refurbishment of an existing building in Seoul using Building Information Modeling (BIM) and parametric tools. The virtual model of an exemplary existing building is constructed in a BIM environment. Parametric software is used to simulate the building’s environmental performance, in order to determine its energy demand for heating and cooling and the indoor comfort. In order to reduce the energy demand for heating and cooling, improve the indoor comfort, generate photovoltaic energy and extend the building’s lifetime, a modular building envelope renovation system is developed. Building simulation results of the improved building envelope are used to quantify the differences with the existing building. The research results illustrate significant improvements in energy performance, comfort and lifetime extension that can be achieved. Furthermore, a guideline for a streamlined building optimization process is provided, that can be transferred and used for the planning and optimization of other building renovation projects.

Keywords: apartment units; Building Information Modeling (BIM); parametric optimization software; environmental assessment; comfort analysis; energy simulations; modular construction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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