Next Article in Journal
The Development of the Temperature Disturbance Zone in the Surrounding of a Salt Cavern Caused by the Leaching Process for Safety Hydrogen Storage
Next Article in Special Issue
Cyber-Physical Systems Improving Building Energy Management: Digital Twin and Artificial Intelligence
Previous Article in Journal
Predicting Energy Demand in Semi-Remote Arctic Locations
Previous Article in Special Issue
Energy Modelling and Analytics in the Built Environment—A Review of Their Role for Energy Transitions in the Construction Sector
Article

Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling

Department of Architecture and Technology, Norwegian University of Science and Technology, Alfred Getz vei 3, 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Academic Editor: Benedetto Nastasi
Energies 2021, 14(4), 802; https://doi.org/10.3390/en14040802
Received: 16 December 2020 / Revised: 20 January 2021 / Accepted: 22 January 2021 / Published: 3 February 2021
(This article belongs to the Special Issue Open Data and Models for Energy and Environment)
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. View Full-Text
Keywords: thermal building performance; satellite-based solar radiation data; meteorological reanalysis data; ISO 52016-1; single-zone infiltration thermal building performance; satellite-based solar radiation data; meteorological reanalysis data; ISO 52016-1; single-zone infiltration
Show Figures

Figure 1

MDPI and ACS Style

Skeie, K.; Gustavsen, A. Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling. Energies 2021, 14, 802. https://doi.org/10.3390/en14040802

AMA Style

Skeie K, Gustavsen A. Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling. Energies. 2021; 14(4):802. https://doi.org/10.3390/en14040802

Chicago/Turabian Style

Skeie, Kristian, and Arild Gustavsen. 2021. "Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling" Energies 14, no. 4: 802. https://doi.org/10.3390/en14040802

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop