1/31/2024 0 Comments China scale model builderUsing residential and office building archetypes for energy efficiency building solutions in an urban scale: A China case study. Automatic and rapid calibration of urban building energy models by learning from energy performance database. Development of city buildings dataset for urban building energy modeling. Applied Energy, 205: 323–335.Ĭhen Y, Hong T, Luo X, et al. Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis. (in Chinese)Ĭhen Y, Hong T, Piette MA (2017). Modeling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets. Energy and Buildings, 247: 111115.Ĭerezo Davila C, Reinhart CF, Bemis JL (2016). Using urban building energy modelling (UBEM) to support the new European Union’s Green Deal: Case study of Dublin Ireland. From concept to application: A review of use cases in urban building energy modeling. The proposed methods can be easily applied to other cities in China.Īng YQ, Berzolla ZM, Reinhart CF (2020). Three energy conservation measures were evaluated to demonstrate urban energy saving potential. The total electricity and natural gas use for the 59,332 buildings was 13,864 GWh and 23.6×10 6 GJ. Finally, monthly and annual electricity and natural gas energy use were simulated for the blocks and the entire city by EnergyPlus. Ruby scripts leveraging on OpenStudio-Standards were developed to generate building energy models for the archetype buildings. Moreover, twenty-two building types and three vintages were selected as archetype buildings to represent 59,332 buildings, covering 87.4% of the total floor area. The year built of residential buildings was collected from the housing website. Then, the convolutional neural network was employed to infer the year built of commercial buildings based on historical satellite images from multiple years. First, clustering and random forest methods were used to determine the building type of each building footprint based on different GIS datasets. A case study was conducted for 68,966 buildings in Changsha city, China. This paper introduced a method to identify archetype buildings and generate urban building energy models for city-scale buildings where public building information was unavailable. Urban building energy modeling has become an efficient way to understand urban building energy use and explore energy conservation and emission reduction potential.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |