Integration of Climate Data in the SAVi Buildings Model

The document details how authoritative climate data from the Copernicus Climate Data Store (CDS) is integrated into the SAVi Buildings model. It provides a literature review on climate impacts on buildings—covering energy demand, rainwater harvesting, and climate hazards—and explains the methodology for translating this data into performance indicators. Simulation results demonstrate that using CDS climate data significantly alters projections compared to 'no climate' scenarios, specifically showing a 23-fold increase in forecasted rainwater harvesting yields and a reduction in projected energy expenditures for heating and cooling.

• The integration of Copernicus Climate Data allows the SAVi model to generate more sophisticated analyses regarding the costs of climate-related externalities and risks for building infrastructure.
• Using CDS climate data for rainwater harvesting yields results that are nearly 23 times higher than those produced by the previous 'no climate' scenario; specifically, average annual yields rose from 134.7 liters per m2 to 3,068.6 liters per m2 between 2020 and 2100.
• Climate impacts on rooftop solar PV generation lead to a reduction in efficiency as temperatures exceed optimal thresholds, resulting in a 5.4% average reduction in the load factor compared to a no-impact scenario.
• In a simulation for Johannesburg using the IPSL RCP8.5 scenario, Heating Degree Days (HDD) are projected to decline by 82% over 80 years, while Cooling Degree Days (CDD) are projected to increase from zero to 204 days per year.
• The use of CDS climate impact scenarios reveals that the initial SAVi model overestimated energy use and costs; energy expenditure for heating was 58.5% lower and for cooling 19.2% lower in the CDS scenario compared to the no-impact scenario.
• Literature indicates that lightning strike frequency is expected to increase by 12% for every 1°C rise in global temperatures, potentially leading to a 50% increase in strikes by the year 2100.
• The report identifies specific CDS datasets used for integration, including ERA5-Land hourly and monthly data and CMIP5 daily and monthly data on pressure levels.

APA

Perera, O., Bechauf, R., Casier, L., Lago, S., Perrette, M., Uzsoki, D., Wuennenberg, L., Bassi, A. M., & Pallaske, G. (2020). Integration of Climate Data in the SAVi Buildings Model. International Institute for Sustainable Development. https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-buildings-model.pdf

Chicago

Perera, Oshani, Ronja Bechauf, Liesbeth Casier, Sergio Lago, Mahé Perrette, David Uzsoki, Laurin Wuennenberg, Andrea M. Bassi, and Georg Pallaske. Integration of Climate Data in the SAVi Buildings Model. International Institute for Sustainable Development, 2020. https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-buildings-model.pdf.

Wikipedia

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BibTeX

@techreport{perera2020integration, author = {Perera, Oshani and Bechauf, Ronja and Casier, Liesbeth and Lago, Sergio and Perrette, Mahé and Uzsoki, David and Wuennenberg, Laurin and Bassi, Andrea M. and Pallaske, Georg}, title = {{Integration of Climate Data in the SAVi Buildings Model}}, institution = {International Institute for Sustainable Development}, year = {2020}, month = sep, url = {https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-buildings-model.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }