Abstract
Weather conditions in an urban environment differ from the conditions in a rural environment. This phenomenon is known as the urban heat island (UHI) effect. In this study the urban climate was monitored at five locations in Rotterdam (the Netherlands) for a period of 1.5 years. The urban heat island intensity was subsequently calculated by the difference between these results and measurements of the Royal Dutch meteorological institute (KNMI) at a rural area 5 km from the centre of Rotterdam. A data-driven method based on a neural network was used for the prediction of the UHI intensity. In this method the UHI intensity at a specific time is calculated as a function of eight weather parameters at that specific time as well as the preceding three hours. The results show a mean squared error on the test data of 0.18 °C. The results therefore indicate that the model reproduces the transient behaviour of the UHI intensity in an accurate manner. This approach can therefore be used to convert weather data of a rural area in weather data for an urban area and subsequently be used in building performance simulations.
| Original language | English |
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| Pages | 1006-1013 |
| Number of pages | 8 |
| Publication status | Published - 2013 |
| Event | 13th Conference of the International Building Performance Simulation Association 2013 - Chambery, France Duration: 26 Aug 2013 → 28 Aug 2013 https://publications.ibpsa.org/conference/?id=bs2013 |
Conference
| Conference | 13th Conference of the International Building Performance Simulation Association 2013 |
|---|---|
| Abbreviated title | BS 2013 |
| Country/Territory | France |
| City | Chambery |
| Period | 26/08/13 → 28/08/13 |
| Internet address |
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Modelling and Simulation
