Authors :
Pindiga I. Yusuf; Haruna Abubakar; Kaushal Singh
Volume/Issue :
Volume 8 - 2023, Issue 1 - January
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3YAdQuM
DOI :
https://doi.org/10.5281/zenodo.7619641
Abstract :
Energy consumed by institutional buildings at
their operational phase is one of the significant sources of
carbon discharge throughout their service life and
directly affects global warming. Therefore, it is vital to
analyse the energy use intensity (EUI) and energy cost of
institutional buildings at Kaduna State University using
Building Information Modeling (BIM) technology. It is
for these reasons that this study investigates the energy
performance of an institutional building using BIM
technology. In this study, the faculty of pharmaceutical
science at Kaduna State University was selected for
assessment. Autodesk Revit 2019 software was used to
generate a 3-D model of the faculty building and also to
analyse the cooling and heating loads. Nine different
scenarios of the building model were created for both
energy use intensity (EUI) and energy cost using
Autodesk Insight 360. Each scenario of the model was
optimized, and the EUI and energy cost scores were
compared with the American Society of Heating,
Refrigeration, and Air-conditioning Engineers
(ASHRAE 90.1) Standard. Furthermore, Autodesk
Green Building Studio (GBS) was used to validate the
EUI, while energy cost optimization scores were obtained
using Autodesk Insight 360. Simulation results showed
that the EUI and energy cost of the faculty building
before optimization were 247 kWh/yr and
$20.1/m2
/yr, respectively, while after optimization they
were 171 kWh/m2
/yr and $16.3/m2
/yr, respectively. Thus,
a savings of 76 kWh/m2
/yr was optimised, and the EUI
and energy cost scores were compared with the
American Society of Heating, Refrigeration, and Airconditioning Engineers (ASHRAE 90.1) Standard.
Furthermore, Autodesk Green Building Studio (GBS)
was used to validate the EUI, while energy cost
optimization scores were obtained using Autodesk
Insight 360. Simulation results showed that the EUI and
energy cost of the faculty building before optimization
were 247 kWh/yr and $20.1/m2
/yr, respectively, while
after optimization they were 171 kWh/m2
/yr and
$16.3/m2
/yr, respectively. Thus, a savings of 76
kWh/m2
/yr and, with the exchange rate of $1 to $485, a
conversion of $3.8/m2
/yr of the EUI and energy cost,
respectively, of the building under study were achieved.
Hence, the use of BIM technology has clearly shown that
it can be used for optimization of EUI and energy costs
in institutional buildings, thereby reducing carbon
dioxide discharge and expenditures.
Keywords :
Autodesk, Efficiency, Energy, Revit.
Energy consumed by institutional buildings at
their operational phase is one of the significant sources of
carbon discharge throughout their service life and
directly affects global warming. Therefore, it is vital to
analyse the energy use intensity (EUI) and energy cost of
institutional buildings at Kaduna State University using
Building Information Modeling (BIM) technology. It is
for these reasons that this study investigates the energy
performance of an institutional building using BIM
technology. In this study, the faculty of pharmaceutical
science at Kaduna State University was selected for
assessment. Autodesk Revit 2019 software was used to
generate a 3-D model of the faculty building and also to
analyse the cooling and heating loads. Nine different
scenarios of the building model were created for both
energy use intensity (EUI) and energy cost using
Autodesk Insight 360. Each scenario of the model was
optimized, and the EUI and energy cost scores were
compared with the American Society of Heating,
Refrigeration, and Air-conditioning Engineers
(ASHRAE 90.1) Standard. Furthermore, Autodesk
Green Building Studio (GBS) was used to validate the
EUI, while energy cost optimization scores were obtained
using Autodesk Insight 360. Simulation results showed
that the EUI and energy cost of the faculty building
before optimization were 247 kWh/yr and
$20.1/m2
/yr, respectively, while after optimization they
were 171 kWh/m2
/yr and $16.3/m2
/yr, respectively. Thus,
a savings of 76 kWh/m2
/yr was optimised, and the EUI
and energy cost scores were compared with the
American Society of Heating, Refrigeration, and Airconditioning Engineers (ASHRAE 90.1) Standard.
Furthermore, Autodesk Green Building Studio (GBS)
was used to validate the EUI, while energy cost
optimization scores were obtained using Autodesk
Insight 360. Simulation results showed that the EUI and
energy cost of the faculty building before optimization
were 247 kWh/yr and $20.1/m2
/yr, respectively, while
after optimization they were 171 kWh/m2
/yr and
$16.3/m2
/yr, respectively. Thus, a savings of 76
kWh/m2
/yr and, with the exchange rate of $1 to $485, a
conversion of $3.8/m2
/yr of the EUI and energy cost,
respectively, of the building under study were achieved.
Hence, the use of BIM technology has clearly shown that
it can be used for optimization of EUI and energy costs
in institutional buildings, thereby reducing carbon
dioxide discharge and expenditures.
Keywords :
Autodesk, Efficiency, Energy, Revit.
