2016 journal article

An enhanced linear regression-based building energy model (LRBEM plus ) for early design


By: M. Al Gharably*, J. DeCarolis n & S. Ranjithan n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: EnergyPlus; Monte Carlo simulation; multivariate regression; building geometry
Source: Web Of Science
Added: August 6, 2018

The design community lacks simple, data-driven energy assessment tools to explore energy-efficient alternatives during the early stages of building design. A promising option is to utilize a whole building energy simulation engine (e.g. EnergyPlus) within a Monte Carlo simulation framework to develop a linear regression-based building energy model (LRBEM) that can predict idealized heating and cooling loads based on parameters relevant to early design. Previous work was limited to medium-sized US commercial office buildings with rectangular geometries. A key limitation is addressed in this paper by considering complex geometries. A reformulated model, LRBEM+, is developed and tested with a suite of building geometries that represent limiting cases. The resultant relative error between LRBEM+ and EnergyPlus is generally less than 10%. Furthermore, LRBEM+ correctly predicts the direction and magnitude of changes in heating and cooling loads in response to changes in the most influential early design parameters.