Urban Retrofitting: A Progressive Framework to Model the Existing Building Stock

Sustainable Built Environment Conference 2019 Tokyo Built Environment in an era of climate change: how can cities and buildings adapt?

生态环境科学

Khoja, A.^1 ; Stjelja, D.^2 ; Jamsén, T.^2 ; Essig, N.^1

Munich University of Applied Sciences, Karlstraße 6, Munich

80333, Germany^1

Granlund Oy, Malminkaari 21, Helsinki

FI-00701, Finland^2

关键词: Advanced designs;    Building energy modelling;    Building energy simulations;    Building retrofitting;    Decision making process;    Energy performance;    Energy simulation;    High quality data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/294/1/012019/pdf
DOI  :  10.1088/1755-1315/294/1/012019

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Renovating the existing building stock is one of the key tools for reaching the EU 2020 and 2030 energy goals. The effectiveness of building retrofitting can be increased significantly through mass renovation of the building stock. However, the realization of such approach is very difficult due to complexity in the decision making process and lack of high-quality data needed for conducting a meaningful energy simulation. This paper presents a novel progressive building energy modelling framework coupled with BIM level of development to support the utilization of BIM and building energy simulation in retrofitting the existing stock. We use a pilot case study in Finland to apply and demonstrate this progressive framework. The developed framework provides the planners with a systematic and structured guidance for the creation of the BIM and the energy simulation model of the existing building stock in early and advanced design phases. The framework enables the users to predict the energy performance of the building stock with a fair accuracy. It also helps the design team to find and implement the most suitable retrofiring measures for it.