REGRESSION-BASED BUILDING ENERGY PERFORMANCE ASSESSMENT USING BUILDING INFORMATION MODEL (BIM)
The building sector, the largest consumer of the United
States primary energy, has been seeking to take
necessary actions to reduce energy use of buildings
while keeping them functional and comfortable. As a
result, building designers are increasingly expected to
improve the energy performance and reduce the carbon
footprint of their building models in the design process.
Higher energy savings opportunities are available
during early stages of design; however, energy
performance assessments are typically done during the
later phases due to the lack of the easy-to-use and
efficient tools that could help architects explore design
alternatives. In this paper, we introduce a new Formbased
Energy Performance Regression Model
(FEPRM) that is capable of real time quantification of
the building energy performance based on the form
variation in a building information modeling (BIM)
tool. FEPRM generates a set of models and simulations
based on the project specifiations and provides a
seamless energy performance feedback to the designer
for decision making during the conceptual design
process using a regression-based model. In this paper,
we investigated the use of FEPRM on 3 different cases
with different AHSRAE climate zones to demonstrate
the usefulness of the proposed method. The comparison
between actual simulation and predicted energy
performance is provided to study the accuracy of the
FEPRM; moreover, a set of extended test cases are also
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