Building performance modeling using Copernicus data

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Russell Short
7 years ago
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1 Building performance modeling using Copernicus data Figure: Equa CAMS User Workshop, Lukas Lundström PhD Candidate at Mälardalen University, Sweden

2 Content Building Performance Modeling (BMP) Weather data required by BPM s User case with CAMS Radiation Service

3 Building Performance Modeling (BPM) Figure: (Hensen and Lamberts 2010) Set of equations and parameters that in a simplified way describes real world physics, and the interactions between subsystems

4 Applications for dynamic Building Performance Modeling (BPM) Performance (building design and O&M analysis) Compliance (building standard/code and rating systems) Energy (compliance, cost etc) Daylight (compliance, performance etc) Hygrothermal (constructions moisture risk analysis)

5 BPM and the role of weather data Building performance modeling (BPM) rely on a variety of datasets when assessing the effects of climate on building performance Ideally: observed at the project site, subject to all local conditions, at intervals consistent with the modeling being undertaken Data needs to be clean (no gaps, no bad data)

6 Energy vs hygrothermal vs daylight modeling Energy & daylight modeling favors typical weather data to simulate long-term performance Hygrothermal modeling favors typical severe years to check suitability of construction solutions for specific locations The limiting parameter for robust hygrothermal analysis is quantitative rain data Energy & daylight modeling places much greater emphasis on the type and quality of solar radiation data

7 Weather/environmental data used in BPM Parameter Model uses Availability and issues Dry-bulb air temperature Exterior surface convection Ventilation sensible heat transfer Equipment (e.g heat exchanger) Humidity Ventilation latent heat transfer Equipment (e.g. condensing point) Universally observed Local effects (e.g. heat island) Commonly observed Solar irradiance (direct and diffuse) Fenestration heat gain Exterior surface heat balance Solar thermal and PV systems Sparsely measured If measured, often global only Model sources widely used Remote sensing (satellite) upcoming Solar illuminance (direct and diffuse) Daylight modeling Rarely measured (modeled from irradiance)

8 Solar Figure:

9 Weather/environmental data used in BPM Parameter Model uses Availability and issues Rain Exterior surface wetting Generally measured; quantitative less common; inconsistent reporting formats Wind (velocity and direction) Exterior surface convection Infiltration Natural ventilation Generally observed Local effects very significant for both velocity and direction Sky temperature Exterior surface heat balance Modeled from temperature, humidity, and cloud cover Cloud cover/sky condition Sky models (e.g. for daylighting) Generally observed Multiple data representation conventions Ground temperature Below-grade heat transfer Modeled from temperature Ground surface albedo Reflected irradiance/illuminance Inferred from presence of snow

10 User case: Shiny Weather Data web app CAMS Radiation service Mesoscale analysis (SMHI) Formats used by BPM tools Illustration: ECMWF and

12 Next step Satelitte solar data, CAMS Obs. climate data, ISD Reanalysis data, ERA5 HadISD like quility control Interpolation shorter gaps M e r g e Quality checked, hourly, near real-time, gapless time series for whole Europe Formats used by BPM tools; typical, extreme & multi-years files

13 Thank you for your attention!

ASHRAE Climatic Data Activities. Dru Crawley Didier Thevenard

ASHRAE Climatic Data Activities Dru Crawley Didier Thevenard ASHRAE American Society of Heating Refrigerating and Air- Conditioning Engineers >50,000 members Major products: Handbooks (Fundamentals, Systems