Indoor Environmental Quality Optimisation Model for Institutional Care Rooms of Elderly People
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Date
2023
Authors
Cemre Cubukcuoglu
Arzu Cilasun Kunduraci
Sahar Asadollahi Asl Zarkhah
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
3
OpenAIRE Views
15
Publicly Funded
No
Abstract
It is known that the elderly usually spend the last years of their lives indoors with little contact with others and the outside environment. Indoor environmental quality (IEQ) conditions related to lighting air quality thermal comfort and acoustics directly affect their quality of life. In this study the main focus is on the design of institutional care rooms for elderly people to create an indoor comfort. However considering all four factors of IEQ in one model is a challenging task. A multi-objective problem is formulated based on a weighted sum of IEQ components in a parametric modelling environment using computational design methods. Several simulation tools are utilised and a Self-Adaptive Ensemble Differential Evolution Algorithm is proposed to tackle this complex problem. The results show that optimal ranges for each IEQ component are achieved with average values reaching 72% of the ideal benchmarks after the algorithm is converged. Results reveal strong correlations between IEQ components. This significant improvement in indoor environmental quality (IEQ) demonstrates the efficacy of the optimisation algorithm used. This study emphasises the flexibility and relevance of these findings for wider implementation in similar settings.
Description
Keywords
elderly care rooms, indoor environmental quality, indoor comfort, computational optimisation, DIFFERENTIAL EVOLUTION, THERMAL COMFORT, VISUAL COMFORT, NURSING-HOMES, OLDER-ADULTS, OF-LIFE, IMPACT, ILLUMINANCES, PARAMETERS, ENSEMBLE, Computational Optimisation, Elderly Care Rooms, Indoor Comfort, Indoor Environmental Quality, Building construction, indoor environmental quality, indoor comfort, elderly care rooms, computational optimisation, TH1-9745
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
2
Source
Buildings
Volume
13
Issue
10
Start Page
2625
End Page
PlumX Metrics
Citations
CrossRef : 1
Scopus : 9
Captures
Mendeley Readers : 25
SCOPUS™ Citations
9
checked on Apr 09, 2026
Web of Science™ Citations
7
checked on Apr 09, 2026
Downloads
2
checked on Apr 09, 2026
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