Building performance analysis for optimizing the energy consumption of an educational building

Abstract

Purpose

In response to rising energy prices and growing environmental concerns, there is a growing demand for environmentally friendly building facilities. This study investigates optimizing energy consumption and improves the level of accuracy when selecting suitable materials and components with minimal impact on the overall energy consumption of buildings.

Design/methodology/approach

This study was carried out from the perspective of an educational building's energy simulation, using a validated building energy analysis tool Green Building Studio (GBS). There were eight parameters analyzed considering at least two connected variables without measuring the initial building configuration. After that, Autodesk Revit and Insight 360 were used to make similar scenarios of the best performance selections so that the general results could be compared and the initial hypothesis could be proven.

Findings

In this study, the initial building analysis showed that there was an annual energy use of 139 kBtu/sf and the estimated carbon emissions were about 156 tons/yr. After the parametric analysis, the maximum energy saving was about 32.38%, considering the best performance scenario with a reduction of CO₂ emissions of around 28.85%.

Originality/value

The outcome of this study will help Bangladeshi architect/designers to make appropriate decisions regarding the selection of suitable building materials and components at the initial stage of any project in terms of the energy consumption aspects. In addition, energy-efficient buildings provide cleaner combustion and better circulation than traditional buildings, that is why they reduce indoor air pollution, maintaining a safe, healthy and sustainable environment for future generations.

Citation

Islam, M.H., Safayet, M.A. and Al Mamun, A. (2024), "Building performance analysis for optimizing the energy consumption of an educational building", International Journal of Building Pathology and Adaptation, Vol. 42 No. 4, pp. 576-595. https://doi.org/10.1108/IJBPA-02-2022-0026