Izvorni znanstveni članak
https://doi.org/10.2478/otmcj-2024-0004
Using building information modelling to optimise design quality of natural lighting in Iraqi school buildings
Ahmed Saad Ali Al-Rudainy
; Civil Engineer ing Department, College of Engineering, University of Baghdad, Baghdad, Iraq
*
Ahmed Mohammed Raoof Mahjoob
; Civil Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq
* Dopisni autor.
Sažetak
One of the most important aspects directly
affecting a building’s performance is the design quality of
the natural day-lighting. The present research evaluates
the effectiveness of daylight in school buildings in the city
of Baghdad. It aims to ascertain how the characteristics
of building windows affect the quality of day-lighting, the
objective of this exercise being to improve educational
processes in schools by making improvements in relation
to the aspect of provision of satisfactory day-lighting
levels. A building simulation approach was adopted, and
using Autodesk Revit 2018 (Insight plug-in), a daylight
analysis was conducted under the aegis of the Building
Information Modelling (BIM) technology. For the case
study, we selected the modern design of a 24-classrooms
school building, which is part of a plan for the construction of 1,000 Iraqi schools. Leadership in Environmental
and Energy Design (LEED v4) simulation was conducted
on the school building design to provide the results,
which were measured and analysed according to LEED
v4 standards. The results demonstrated that opening
dimensions and direction have an essential impact on
natural day- lighting. The research concluded that using
BIM simulation tools enhances the design quality of
the natural lighting in such a way that compliance with
LEED v4 requirements is achieved. The present study will
assist in identification and assessment of the problems
concerned with natural lighting levels in Iraqi school
buildings as well as resolving these at an early design
stage.
Ključne riječi
Hrčak ID:
321148
URI
Datum izdavanja:
3.10.2024.
Posjeta: 110 *