Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling
| Autor: | Arild Gustavsen, Kristian Skeie |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Geospatial analysis 010504 meteorology & atmospheric sciences 020209 energy single-zone infiltration Energy Engineering and Power Technology 02 engineering and technology Solar irradiance computer.software_genre 01 natural sciences lcsh:Technology 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) 0105 earth and related environmental sciences Remote sensing ISO 52016-1 Renewable Energy Sustainability and the Environment business.industry lcsh:T Elevation Geoprocessing computer.file_format Infiltration (HVAC) thermal building performance satellite-based solar radiation data meteorological reanalysis data Environmental science Raster graphics Web service business computer Thermal energy Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 802, p 802 (2021) Energies; Volume 14; Issue 4; Pages: 802 Energies |
| ISSN: | 1996-1073 |
| Popis: | In building thermal energy characterisation, the relevance of proper modelling of the effects caused by solar radiation, temperature and wind is seen as a critical factor. Open geospatial datasets are growing in diversity, easing access to meteorological data and other relevant information that can be used for building energy modelling. However, the application of geospatial techniques combining multiple open datasets is not yet common in the often scripted workflows of data-driven building thermal performance characterisation. We present a method for processing time-series from climate reanalysis and satellite-derived solar irradiance services, by implementing land-use, and elevation raster maps served in an elevation profile web-service. The article describes a methodology to: (1) adapt gridded weather data to four case-building sites in Europe; (2) calculate the incident solar radiation on the building facades; (3) estimate wind and temperature-dependent infiltration using a single-zone infiltration model and (4) including separating and evaluating the sheltering effect of buildings and trees in the vicinity, based on building footprints. Calculations of solar radiation, surface wind and air infiltration potential are done using validated models published in the scientific literature. We found that using scripting tools to automate geoprocessing tasks is widespread, and implementing such techniques in conjunction with an elevation profile web service made it possible to utilise information from open geospatial data surrounding a building site effectively. We expect that the modelling approach could be further improved, including diffuse-shading methods and evaluating other wind shelter methods for urban settings. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Databáze: | OpenAIRE |
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