MORPHING CLIMATE DATA TO SIMULATE BUILDING ENERGY CONSUMPTION
This research investigates projecting and ‘morphing’
weather files for building energy simulations in order to
calculate lifetime energy consumption. Multiple
weather-file modification tools and morphing
methodologies have been developed over the last
couple of decades to account for variable climate
patterns. Two tools were used in this work to evaluate
potential climate projections and explore differences in
uncertainty and assumptions when applied to the same
set of prototype buildings. The research uses Boston,
Miami and San Francisco as diverse cities representing
different climate challenges and to study regional
effects on complete long-term energy use in future
scenarios. The most recent climate projections from the
IPCC and UKCP09 are compared with historic
projections to understand how variances in algorithms
alter building energy use over time. The comparison of
energy simulations using ‘morphed’ weather files under
different methodologies, current climate forecasts and
adjusted emissions scenarios are visualized and
discussed to demonstrate the impact of climate change
on building energy consumption. Some results are to
be expected, but Boston’s decreasing future energy use
intensity (EUI) and variations in rates of change exhibit
the importance of considering future climate projections
in building energy simulations.
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