Sensitivity Analysis of Passive Design Strategies for Residential Buildings in Cold Semi-Arid Climates

Waqas Ahmed Mahar, Griet Verbeeck, Sigrid Reiter and Shady Attia
Additional contact information
Waqas Ahmed Mahar: Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium
Griet Verbeeck: Faculty of Architecture and Arts, Hasselt University, 3590 Diepenbeek, Belgium
Sigrid Reiter: LEMA, Department of UEE, Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium
Shady Attia: Sustainable Building Design (SBD) Lab, Department of UEE, Faculty of Applied Sciences, Université de Liège, 4000 Liège, Belgium

Sustainability, 2020, vol. 12, issue 3, 1-22

Abstract: Buildings are significant drivers of greenhouse gas emissions and energy consumption. Improving the thermal comfort of occupants in free-running buildings and avoiding active and fossil fuel-based systems is the main challenge in many cities worldwide. However, the impacts of passive design measures on thermal comfort in cold semi-arid regions are seldom studied. With the rapid urbanization and the widespread use of personalised heating and cooling systems, there is a need to inform building designers and city authorities about passive design measures that can achieve nearly optimal conditions. Therefore, in this study, a global sensitivity analysis of the impact of passive design parameters on adaptive comfort in cold semi-arid climates was conducted. A representative residential building was simulated and calibrated in Quetta, Pakistan, to identify key design parameters for optimal thermal comfort. The results list and rank a set of passive design recommendations that can be used widely in similar climates. The results show that among the investigated 21 design variables, the insulation type of roof is the most influential design variable. Overall, the sensitivity analysis yielded new quantitative and qualitative knowledge about the passive design of buildings with personalised heating systems, but the used sensitivity analysis has some limitations. Finally, this study provides evidence-based and informed design recommendations that can serve architects and homeowners to integrate passive design measures at the earliest conceptual design phases in cold semi-arid climates.

Keywords: decision support; building simulation; personalised systems; adaptive comfort (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/3/1091/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/3/1091/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:3:p:1091-:d:316090

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().