scholarly journals Towards integrating occupant behaviour modelling in simulation-aided building design: Reasons, challenges and solutions

2021 ◽  
pp. 111498
Author(s):  
Juan Mahecha Zambrano ◽  
Ulrich Filippi Oberegger ◽  
Graziano Salvalai
Keyword(s):  
Building Design ◽  
Occupant Behaviour ◽  
Behaviour Modelling

Occupant behaviour and robustness of building design

2015 ◽  
Vol 94 ◽  
pp. 694-703 ◽  
Author(s):  
Tiziana Buso ◽  
Valentina Fabi ◽  
Rune K. Andersen ◽  
Stefano P. Corgnati
Keyword(s):  
Building Design ◽  
Occupant Behaviour

scholarly journals STUDI FENOMENA MENJEMUR PAKAIAN YANG MEMBENTUK CITRA KURANG BAIK BANGUNAN RUMAH SUSUN

2017 ◽  
Vol 8 (2) ◽  
pp. 144-148
Author(s):  
Nurul Sucya Karya
Keyword(s):  
Data Collection ◽  
Low Cost ◽  
Building Design ◽  
The Sun ◽  
Occupant Behaviour ◽  
Top Down ◽  
Collection Method ◽  
Good Image ◽  
Building Form

Menjemur is literally means drying laundry by hanging them to be exposed by the sun or open air. In Indonesia, misplaced menjemur phenomenon is frequently seen in low-cost apartment, which is giving a bad image to the building. By choosing the case of low-cost apartment (Rumah Susun) in Sarijadi Bandung, this small research tried to dig deeper towards misplaced menjemur phenomenon in Rumah Susun. The data collection method used for this small research is field observation and interview to the Rumah Susun occupants, which are then being analyzed descriptively. It can be seen that the Rumah Susun occupants improperly place their laundry to be dried, such as in balconies, corridors, stairs, and windows. This thing happened because there isn't any facility to place their laundry in Rumah Susun provided. Moreover, this phenomenon shows that the occupants don't have any other choice towards their settlement, which is called "bounded choice", as the result of Rumah Susun building programme orientation which is done by top-down method that produce a nearly uniformed building form. This bounded choice phenomenon could harm the Rumah Susun image, and in long term could reduce the occupants interest to live in Rumah Susun. An occupant behaviour-based improvement towards the Rumah Susun building programme is needed in the future, to produce a Rumah Susun form which has a good image. The outcome of this research could be a material to evaluate the Rumah Susun building design.  

scholarly journals Optimizing occupant-centric building controls given stochastic occupant behaviour

2021 ◽  
Vol 2069 (1) ◽  
pp. 012140
Author(s):  
Zeinab Khorasani zadeh ◽  
Mohamed M. Ouf
Keyword(s):  
Energy Savings ◽  
Building Design ◽  
Design Parameters ◽  
Occupant Behaviour ◽  
Indoor Climate ◽  
Climate Control ◽  
Novel Approach ◽  
Occupancy Patterns ◽  
Occupant Comfort ◽  
Behaviour Models

Abstract Occupant-centric control (OCC) strategies represent a novel approach for indoor climate control in which occupancy patterns and occupant preferences are embedded within control sequences. They aim to improve both occupant comfort and energy efficiency by learning and predicting occupant behaviour, then optimizing building operations accordingly. Previous studies estimate that OCC can increase energy savings by up to 60% while improving occupant comfort. However, their performance is subjected to several factors, including uncertainty due to occupant behaviour, OCC configurational settings, as well as building design parameters. To this end, testing OCCs and adjusting their configurational settings are critical to ensure optimal performance. Furthermore, identifying building design alternatives that can optimize such performance given different occupant preferences is an important step that cannot be investigated during field implementations of OCC due to logistical constraints. This paper presents a framework to optimize OCC performance in a simulation environment, which entails coupling synthetic occupant behaviour models with OCCs that learn their preferences. The genetic algorithm for optimization is then used to identify the configurational settings and design parameters that minimize energy consumption under three different occupant scenarios. To demonstrate the proposed framework, three OCCs were implemented in the building simulation program, EnergyPlus, and executed through a Python package, EPPY to optimize OCC configurational settings and design parameters. Results revealed significant improvement of OCC performance under the identified optimal configurational settings and design parameters for each of the investigated occupant scenarios. This approach would improve OCC performance in actual buildings and avoid discomfort issues that arise during the initial implementation phases.

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