Yang, Yi;
Gu, Qili;
Wei, Hailu;
Liu, Hua;
Wang, Wei;
Wei, Shen;
(2023)
Transforming and validating urban microclimate data with multi-sourced microclimate datasets for building energy modelling at urban scale.
Energy and Buildings
, 295
, Article 113318. 10.1016/j.enbuild.2023.113318.
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Abstract
Weather data is a key input to achieve reliable building energy simulation, and in current studies, EnergyPlus Weather (EPW) data, historically measured by a few suburban weather stations, is the most widely used. However, weather is shaped by urban morphology and other factors, so transforming weather files for the urban context using tools such as Urban Weather Generator becomes necessary. This study investigated the differences between multi-sourced weather datasets after transforming, and, in turn, the subsequent impact on urban building energy simulation. As a case study, one campus block was selected, with 41 urban blocks and their urban morphologies obtained. One microclimate station and 16 sensors were then installed to collect weather data to validate multi-sourced weather files for energy simulation models. The study results showed the root mean square error of temperature differences between suburban weather station, EPW and on-campus microclimate was 2.1 °C and 4.3 °C, respectively, before transforming and 1.2 °C and 4.1 °C, respectively, after transforming. Regarding building energy use, the mean absolute percentage difference (MAPD) of cooling-energy use intensity (EUI) between those calculated using the three datasets was 32.4% and 13.1%, respectively, before transforming and 25.8% and 4.1%, respectively, after transforming. Meanwhile, the MAPD of heating-EUI was 27.2% and 116.3%, respectively, before transforming and 12.7% and 93.6%, respectively, after transforming. This study results provide a reference for selecting weather data for urban building energy modelling to achieve a reliable energy decision-making process.
| Type: | Article |
|---|---|
| Title: | Transforming and validating urban microclimate data with multi-sourced microclimate datasets for building energy modelling at urban scale |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.enbuild.2023.113318 |
| Publisher version: | https://doi.org/10.1016/j.enbuild.2023.113318 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Urban Building Energy Modelling, Urban microclimate, Microclimate transforming, Multi-sourced validation. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10172677 |
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